JP2006238103A - Network camera and photographic subject image distributing method thereof - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a low-priced network camera which gives a desired photographic subject image to a user terminal apparatus through the Internet. <P>SOLUTION: The network camera 3 has a camera mechanism 11 to acquire the photographic subject image by imaging the photographic subject, and a terminal control unit 20 to provide and distribute the acquired photographic subject image to a camera-attached mobile telephone 5 through the Internet. The network camera has a preset memory 15 to store accordingly an attitude data for the photographic subject to show a camera attitude for acquiring a URL code of an access partner and the desired photographic subject image among the photographic subject images; a search control unit 25C to search the attitude data for the photographic subject according to the URL code when a communication access based on the URL code is detected from the camera-attached mobile telephone; an attitude drive 17 to drive-control the camera attitude based on the searched attitude data for the photographic subject; and a system control unit 25 to acquire the desired photographic subject image in the drive-controlled imaging attitude and to provide the image to the camera-attached mobile telephone. <P>COPYRIGHT: (C)2006,JPO&NCIPI

Description

  The present invention relates to a camera mechanism unit that captures a subject and obtains a subject image, a communication unit that communicates and connects to the Internet, and a subject terminal acquired by the camera mechanism unit via the Internet, for example, a user terminal such as a mobile phone BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a network camera having an image providing unit provided and distributed to an apparatus, and a subject image distribution method for the network camera.

  2. Description of the Related Art In recent years, a camera device having a preset function capable of setting a plurality of image capturing postures of the security camera and surveillance camera has been widely known (see, for example, Patent Document 1).

  The surveillance camera device of Patent Literature 1 includes a surveillance camera that captures an image of a subject, a camera controller that drives and controls the surveillance camera, a display that displays an image of the subject captured by the surveillance camera, and a keyboard and a mouse that input various commands. And a central processing unit that controls the entire surveillance camera device. When the central processing unit detects a confirming operation through the operation unit while displaying the subject image on the display, the subject image and the same processing unit The image capturing posture value of the surveillance camera is associated with the preset and stored.

  Therefore, according to the surveillance camera device of Patent Document 1, the subject image being stored in the preset can be displayed on the display to recognize the camera position being stored in the preset, and the imaging command for the subject image can be recognized. Is detected, the image capturing posture value corresponding to the subject image is read out, and the image capturing operation of the surveillance camera is started based on the image capturing posture value, so the user views the latest image on the subject image on the display. be able to.

  In addition, a system that makes it possible to view a subject image from a user terminal device on the Internet is widely known (see, for example, Patent Document 2).

  The system of Patent Literature 2 includes an IP camera connected to a network that captures an image of a subject, a representative server that stores an IP camera image transmitted as a file transfer protocol (hereinafter simply referred to as FTP) file, a mobile phone, and the like. When the representative server detects a communication access from the user terminal device via the Internet, the representative server provides a subject image being stored to the user terminal device according to the communication access.

Therefore, according to the system of Patent Document 2, when communication access of the user terminal device is detected, the stored subject image corresponding to the communication access is read, and this subject image is provided to the user terminal device on the Web. Therefore, the user can easily browse the subject image stored in the representative server.
Japanese Patent Laid-Open No. 11-242523 (see abstract and FIG. 1) JP 2004-179837 A (see abstract and FIG. 1)

  However, according to the monitoring camera device of Patent Document 1 described above, when the subject image and the imaging posture value of the monitoring camera of the subject image are stored in advance and an imaging command for the subject image is detected, the subject image is supported. The imaging posture value is read and the imaging operation of the monitoring camera is started based on the imaging posture value. However, a specific user of the monitoring camera device can receive the subject image only on the display of the monitoring camera device. Therefore, the subject image cannot be received from the user terminal device other than the monitoring camera device via the Internet.

  Further, according to the system of Patent Document 2, when a subject image is stored in the representative server and communication access from the user terminal device is detected, the subject image corresponding to the communication access is transmitted to the user terminal device via the Internet. Although provided, since the imaging posture of the IP camera is fixed, it is necessary to install an IP camera for each subject image, which requires a large system construction cost.

  The present invention has been made in view of the above points, and an object of the present invention is to provide an inexpensive network camera capable of providing a desired subject image to a user terminal device via the Internet.

  In order to achieve the above object, a network camera of the present invention includes an imaging unit that captures a subject and obtains a subject image, a communication unit that communicates with the Internet, and a subject image acquired by the imaging unit via the Internet. A network camera having an image providing means for providing and distributing to the user terminal device, and acquiring a URL code as an access destination for acquiring the subject image of the subject and a desired subject image among the subject images When the communication means via the Internet based on the URL code is detected from the user terminal device, the storage means storing the subject attitude data indicating the imaging attitude of the imaging means for performing the association, and the URL code is supported. Search means for searching the subject posture data from the storage means, and the search hand Based on the subject posture data retrieved in step (1), a drive control unit that drives and controls the imaging posture of the imaging unit, and the imaging unit acquires the desired subject image with the imaging posture that is driven and controlled by the drive control unit. In order to provide and distribute the desired subject image to the user terminal device, control means for controlling the image providing means is provided.

  Also, the subject image distribution method of the network camera of the present invention is a URL code that is an access destination for obtaining the subject image of the subject, and an imaging means for obtaining a desired subject image among the subject images. A step of storing subject posture data indicating a posture in association with the storage unit, and when communication access via the Internet based on the URL code is detected from the user terminal device, subject posture data corresponding to the URL code is stored in the storage unit And a step of driving and controlling the imaging posture of the imaging means based on the posture data for the subject searched from the storage means, and the imaging means driving and controlling the imaging posture to obtain the desired subject image. And obtaining and distributing the desired subject image to the user terminal device via the Internet. And to a step of.

  According to the network camera of the present invention configured as described above, the URL code that is the access destination for acquiring the subject image of the subject, and the imaging means for acquiring the desired subject image among the subject images Subject orientation data indicating the imaging orientation of the subject is stored in association with each other, and when communication access via the Internet based on the URL code is detected from the user terminal device, subject orientation data corresponding to the URL code is read, and the subject orientation data is read out. The imaging posture of the imaging means is driven and controlled based on the attitude data, the imaging operation of the imaging means is started, and a desired subject image captured by the imaging means is provided and distributed to the user terminal device via the Internet. Therefore, the user of the user terminal device only needs to communicate and access the URL code corresponding to the desired subject image. A desired subject image can be acquired in real time, and a plurality of subject images can be acquired by a single network camera by storing a plurality of subject posture data by a single network camera. An inexpensive system configuration can be provided.

  Further, according to the subject image distribution method of the network camera of the present invention, the URL code that is the access destination for acquiring the subject image of the subject and the imaging means for acquiring the desired subject image among the subject images Subject orientation data indicating the imaging orientation of the subject is stored in association with each other, and when communication access via the Internet based on the URL code is detected from the user terminal device, subject orientation data corresponding to the URL code is read, and the subject orientation data is read out. The imaging posture of the imaging means is driven and controlled based on the attitude data, the imaging operation of the imaging means is started, and a desired subject image captured by the imaging means is provided and distributed to the user terminal device via the Internet. Therefore, the user of the user terminal device has communication access to the URL code corresponding to the desired subject image. Thus, a desired subject image can be acquired in real time, and a plurality of subject images can be acquired by a single network camera by storing a plurality of subject posture data by a single network camera. Therefore, an inexpensive system configuration can be provided.

  The network camera according to claim 1 includes an imaging unit that captures an image of a subject and acquires the subject image, a communication unit that communicates with the Internet, and a user terminal device that transmits the subject image acquired by the imaging unit via the Internet. A network camera having an image providing means for providing and distributing to a URL code that is an access destination for acquiring the subject image of the subject, and the target image for acquiring a desired subject image out of the subject image When a storage unit that stores subject posture data indicating an imaging posture of the imaging unit is stored in association with a communication access via the Internet based on the URL code from the user terminal device, a subject posture corresponding to the URL code is detected. Search means for searching data from the storage means, and search by the search means Based on the body posture data, a drive control unit that drives and controls the imaging posture of the imaging unit, and the imaging unit that obtains the desired subject image with an imaging posture that is driven and controlled by the drive control unit. Control means for controlling the image providing means is provided to provide and distribute a desired subject image to the user terminal device.

  Therefore, according to the network camera according to claim 1 of the present application, the URL code that is the access destination for acquiring the subject image of the subject, and the imaging means for acquiring the desired subject image among the subject images. The subject posture data indicating the posture is stored in association with each other, and when communication access via the Internet based on the URL code is detected from the user terminal device, the subject posture data corresponding to the URL code is read, and the subject posture data Based on the above, the imaging posture of the imaging unit is driven and controlled, the imaging operation of the imaging unit is started, and a desired subject image captured by the imaging unit is provided and distributed to the user terminal device via the Internet. The user of the user terminal device simply performs communication access to the URL code corresponding to the desired subject image. A desired subject image can be acquired in real time, and a plurality of subject images can be acquired by a single network camera by storing a plurality of subject posture data by a single network camera. An inexpensive system configuration can be provided.

  The network camera according to claim 2 of the present application is the configuration according to claim 1 of the present application, wherein the user terminal device captures a terminal-side two-dimensional code obtained by encoding a URL code that is an access destination for acquiring the subject image. Terminal-side imaging means for acquiring a terminal-side two-dimensional code image, and when the terminal-side two-dimensional code image is acquired by the terminal-side imaging means, the URL code is restored by restoring the terminal-side two-dimensional code image. And a terminal side communication unit for accessing the network camera via the Internet and acquiring a subject image from the network camera based on a URL code acquired by the terminal side recovery unit. And to have.

  Therefore, according to the network camera according to claim 2 of the present application, the terminal-side two-dimensional code image is obtained by capturing the terminal-side two-dimensional code obtained by encoding the URL code in the user terminal device. Since the URL code is obtained by restoring the dimension code image, the network camera is accessed for communication via the Internet based on the URL code, and the subject image from the network camera is obtained. The user of the terminal device can simply access the URL code without having to input the URL code simply by capturing the terminal-side two-dimensional code and restoring the terminal-side two-dimensional code. In addition, a subject image corresponding to the URL code can be easily acquired.

  In the network camera according to claim 3 of the present application, in the configuration according to claim 1 or 2, the subject posture data indicates an imaging posture of the imaging means for recognizing a subject-side two-dimensional code attached to the subject. And a correction value based on the code attitude data indicating the imaging attitude of the imaging means for acquiring the desired subject image.

  Therefore, according to the network camera according to claim 3 of the present application, since the subject posture data is configured by the code posture data and the correction value, the drive control means performs imaging based on the code posture data and the correction value. By driving and controlling the imaging posture of the means, a desired subject image can be quickly acquired.

  According to a fourth aspect of the present invention, in the configuration of the third aspect of the present invention, the lens focus of the imaging unit can be set to a standard mode for setting the standard or a zoom mode for setting the zoom up, With the subject side two-dimensional code affixed to the position, the subject means captures the subject in the zoom mode with the imaging means to obtain a subject image, and the subject side two-dimensional code of the subject can be recognized from the subject image. Two-dimensional code recognition determination means for determining whether or not the subject-side two-dimensional code of the same subject has been recognized by the two-dimensional code recognition determination means, the attitude data of the imaging means for the code Store as posture data, and store and update the code posture data and a predetermined correction value in the storage means in association with the URL code of the subject. It was to have a new means.

  Therefore, according to the network camera according to claim 4 of the present application, the lens focus of the imaging unit can be set to a standard mode set to standard or a zoom mode set to zoom-up, and the subject side is placed at a predetermined position of the subject. With the two-dimensional code affixed, the imaging means captures the subject in the zoom mode to obtain a subject image, and determines whether or not the subject-side two-dimensional code of the subject can be recognized from the subject image If it is determined that the subject-side two-dimensional code of the subject has been recognized, the orientation data of the imaging unit is used as the orientation data for the code, and the code orientation data and a predetermined correction value are used as the URL code of the subject. The storage means is associated with and updated, that is, the subject-side two-dimensional code is pasted to a predetermined position of a predetermined subject. Since the correction value can be fixed in the above-mentioned manner, it is not necessary to calculate the correction value, and the predetermined fixed value is stored and updated in the storage means as the correction value, so that a desired subject image can be obtained. It is possible to easily acquire the subject posture data.

  In the network camera according to claim 5 of the present application, in the configuration according to claim 3 of the present application, the lens focal point of the image pickup unit can be set to a standard mode set to standard or a zoom mode set to zoom up. A two-dimensional code recognition determining means for acquiring a subject image by imaging the subject in the zoom mode and determining whether or not the subject-side two-dimensional code of the subject can be recognized from the subject image; and the two-dimensional code If it is determined by the recognition determination means that the subject-side two-dimensional code of the subject has been recognized, the posture data of the imaging means is used as the code posture data, and the code posture data is associated with the URL code of the subject. A storage updating unit that stores and updates the storage unit, and an imaging unit that captures the image based on the code orientation data stored in the storage unit. When the subject is imaged in the standard mode and the desired subject image is acquired by controlling the driving force, a correction is performed that calculates a correction value based on the code orientation data for acquiring the desired subject image And when the correction value is calculated by the correction value calculation unit, the storage update unit stores and updates the correction value in the storage unit in association with the code attitude data. .

  Therefore, according to the network camera of claim 5 of the present application, the lens focus of the image pickup means can be set to a standard mode set to standard or a zoom mode set to zoom up, and the image pickup means in the zoom mode. When the subject is imaged to acquire a subject image, it is determined whether or not the subject-side two-dimensional code of the subject can be recognized from the subject image, and when it is determined that the subject-side two-dimensional code of the subject can be recognized The attitude data of the image pickup means is used as the code attitude data, and the code attitude data is stored and updated in the storage means in association with the URL code of the subject, and the code attitude data stored in the storage means And taking the desired subject image in the standard mode by driving and controlling the imaging posture of the imaging means. Then, a correction value based on the code posture data for acquiring the desired subject image is calculated, and the correction value is stored and updated in the storage unit in association with the code posture data. The code orientation data is acquired in the zoom mode, and the correction value based on the code orientation data is calculated as the subject orientation data for acquiring the desired subject image in the standard mode. Since the value is stored in the storage means, it is possible to easily store and update subject posture data for obtaining a desired subject image even if the position of the subject two-dimensional code is different.

  In the network camera according to claim 6 of the present application, in the configuration according to claim 3, 4 or 5, the control means includes code attitude data in object attitude data corresponding to the URL code by the search means, and A correction value is retrieved from the storage means, the drive control means drives and controls the imaging posture of the imaging means based on the code orientation data and the correction value, and the imaging means captures a desired subject image of the subject. I tried to get it.

  Therefore, according to the network camera according to claim 6 of the present application, when communication access based on the URL code from the user terminal device is detected, the code posture data and the correction value in the subject posture data corresponding to the URL code are searched. Since the imaging posture of the imaging means is driven and controlled based on the code orientation data and the correction value, and the desired subject image of the subject is acquired by the imaging means, the code orientation data and the correction value are Based on this, a desired subject image can be provided to the user terminal device.

  According to a seventh aspect of the present invention, in the network camera according to the third aspect of the present invention, the lens focus of the imaging unit can be set to a standard mode that is set to standard or a zoom mode that is set to zoom up. Capturing the subject in the standard mode to obtain a subject image, and determining whether or not the subject-side two-dimensional code of the subject has been recognized from the subject image; When it is determined that the subject-side two-dimensional code of the subject has been recognized by the one-dimensional code recognition determining means, the posture data of the imaging means is used as the code posture data, and the code posture data and a predetermined correction value Is stored in the storage unit in association with the URL code of the subject.

  Therefore, according to the network camera of claim 7, the lens focus of the image pickup means can be set to a standard mode set to standard or a zoom mode set to zoom up, and the image pickup means can be set in the standard mode. When the subject is imaged to acquire a subject image, it is determined whether or not the subject-side two-dimensional code of the subject can be recognized from the subject image, and when it is determined that the subject-side two-dimensional code of the subject can be recognized The attitude data of the imaging means is used as the code attitude data, and the code attitude data and a predetermined correction value are stored and updated in the storage means in association with the URL code of the subject. Since the correction value can be fixed by pasting the side two-dimensional code to a predetermined position of a predetermined subject, it is not necessary to calculate the correction value. . Thus store updated in the storage means as a correction value a predetermined fixed value, it is possible to easily obtain the object for orientation data to obtain the desired subject image.

  In the network camera according to claim 8 of the present application, in the configuration according to claim 3 of the present application, the lens focus of the imaging unit can be set to a standard mode set to standard or a zoom mode set to zoom up, Capturing the subject in the standard mode to obtain a subject image, and determining whether or not the subject-side two-dimensional code of the subject has been recognized from the subject image; When it is determined that the subject-side two-dimensional code of the subject has been recognized by the one-dimensional code recognition determining means, the posture data of the imaging means is used as the code posture data, and the code posture data is used as the URL of the subject. A storage updating means for storing and updating the storage means in association with a code; and the imaging means based on code orientation data stored in the storage means By driving and controlling the imaging orientation, when the subject is imaged and the desired subject image is obtained while maintaining the standard mode, correction based on the code orientation data for obtaining the desired subject image is performed. Correction value calculation means for calculating a value, and when the correction value calculation means calculates the correction value, the storage update means stores the correction value in the storage means in association with the code attitude data. Updated.

  Therefore, according to the network camera of claim 8 of the present application, the lens focus of the image pickup means can be set to a standard mode set to standard or a zoom mode set to zoom up, and the image pickup means can be set in the standard mode. When the subject is imaged to acquire a subject image, it is determined whether or not the subject-side two-dimensional code of the subject can be recognized from the subject image, and when it is determined that the subject-side two-dimensional code of the subject can be recognized The attitude data of the image pickup means is used as the code attitude data, and the code attitude data is stored and updated in the storage means in association with the URL code of the subject, and the code attitude data stored in the storage means And controlling the imaging posture of the imaging means based on the image of the subject to capture the desired object while maintaining the standard mode. When the body image is acquired, a correction value based on the code posture data for acquiring the desired subject image is calculated, and the correction value is stored and updated in the storage unit in association with the code posture data. In other words, when the code posture data acquisition operation is executed in the standard mode and the code posture data can be acquired in the standard mode, a desired subject image is acquired while maintaining the standard mode. Since the subject posture data is acquired, the subject posture data for acquiring a desired subject image can be stored and updated only in the standard mode even if the position of the subject two-dimensional code is different. it can.

  The network camera according to claim 9 of the present application is the configuration according to claim 7 or 8, and when the first two-dimensional code recognition determining unit determines that the subject side two-dimensional code of the subject cannot be recognized, A second two-dimensional code recognition determining unit configured to acquire a subject image by imaging the subject in the zoom mode by an imaging unit and determine whether or not the subject side two-dimensional code of the subject can be recognized from the subject image; And when the second 2D code recognition determining unit determines that the subject-side 2D code of the same subject has been recognized, the storage updating unit uses the attitude data of the imaging unit as the code attitude data. The code posture data is stored and updated in the storage means in association with the URL code of the subject.

  Therefore, according to the network camera of claim 9 of the present application, when the code attitude data acquisition operation cannot be executed in the standard mode by executing the code attitude data acquisition operation in the standard mode, the code attitude in the zoom mode Since data is acquired and subject orientation data is obtained in the standard mode, subject orientation data for obtaining a desired subject image can be easily stored and updated.

  In the network camera according to claim 10 of the present application, in the configuration according to claim 7, 8 or 9, the control means includes code attitude data in object attitude data corresponding to the URL code by the search means, and A correction value is retrieved from the storage means, the drive control means drives and controls the imaging posture of the imaging means based on the code orientation data and the correction value, and the imaging means captures a desired subject image of the subject. I tried to get it.

  Therefore, according to the network camera according to claim 10, when communication access based on the URL code from the user terminal device is detected, the code posture data and the correction value in the subject posture data corresponding to the URL code are searched. Since the imaging posture of the imaging means is driven and controlled based on the code orientation data and the correction value, and the desired subject image of the subject is acquired by the imaging means, the code orientation data and the correction value are Based on this, a desired subject image can be provided to the user terminal device.

  In order to achieve the above object, a subject image distribution method for a network camera according to claim 11 of the present application is a URL code that is an access destination for acquiring a subject image of a subject and a desired subject among the subject images. A step of associating and storing in the storage means subject orientation data indicating an imaging orientation of the imaging means for acquiring an image, and detecting a communication access via the Internet based on the URL code from the user terminal device, the URL code A step of retrieving from the storage means subject posture data corresponding to the step, a step of driving and controlling the imaging posture of the imaging means based on the subject posture data retrieved from the storage unit, and a drive control of the imaging posture. The imaging unit obtains the desired subject image, and the user selects the desired subject image. And to a step of providing delivered via said Internet end device.

  Therefore, according to the subject image distribution method for a network camera according to claim 11 of the present application, a URL code that is an access destination for obtaining the subject image of the subject and a desired subject image among the subject images are obtained. Subject orientation data indicating the imaging orientation of the imaging means is stored in association, and when communication access via the Internet based on the URL code is detected from the user terminal device, subject orientation data corresponding to the URL code is read out, Based on the subject orientation data, the imaging orientation of the imaging means is driven and controlled, the imaging operation of the imaging means is started, and a desired subject image captured by the imaging means is provided and distributed to the user terminal device via the Internet. As a result, the user of the user terminal device communicates with the URL code corresponding to the desired subject image. It is possible to acquire a desired subject image in real time just by accessing it, and to acquire a plurality of subject images with a single network camera by storing a plurality of subject orientation data with a single network camera. Therefore, an inexpensive system configuration can be provided.

  The subject image distribution method for a network camera according to claim 12 of the present application is the configuration according to claim 11 of the present application, in which the terminal-side two-dimensional image obtained by imaging the terminal-side two-dimensional code obtained by encoding the URL code by the user terminal device. Obtaining the code image; obtaining the URL code by restoring the terminal-side two-dimensional code image at the user terminal device; obtaining the URL code at the user terminal device; And a step of executing communication access via the Internet based on the code.

  Therefore, according to the subject image distribution method for a network camera according to claim 12 of the present application, the user terminal device captures a terminal-side two-dimensional code obtained by encoding a URL code that is an access destination for acquiring the subject image. The terminal-side two-dimensional code image is acquired, the URL code is acquired by restoring the terminal-side two-dimensional code image, and the network camera is accessed for communication via the Internet based on the URL code, Since the subject image is acquired from the network camera, the user of the user terminal device does not bother to input the URL code simply by imaging the terminal-side two-dimensional code and restoring the terminal-side two-dimensional code. However, communication access can be easily made to the URL code. It can easily obtain the corresponding subject image.

  The subject image distribution method for a network camera according to claim 13 of the present application is the configuration according to claim 11 or 12, wherein the step of storing the URL code and the subject orientation data in association with each other in the storage means With the subject side two-dimensional code affixed to a predetermined position, the focus lens of the imaging unit is set to a zoom mode, and the subject is captured in this zoom mode to obtain a subject image. Determining whether or not the subject-side two-dimensional code of the subject can be recognized; The code posture data and the predetermined correction value are associated with the URL code in the storage means as the subject posture data. And to a step of 憶.

  Therefore, according to the subject image delivery method for a network camera according to claim 13 of the present application, the subject is imaged in the zoom mode by the imaging means with the subject-side two-dimensional code attached to a predetermined position of the subject. The subject image is acquired, and it is determined whether or not the subject-side two-dimensional code of the subject can be recognized from the subject image, and if it is determined that the subject-side two-dimensional code of the subject can be recognized, the imaging unit The code attitude data is used as the code attitude data, and the code attitude data and a predetermined correction value are stored and updated in the storage means in association with the URL code of the subject, that is, the subject-side two-dimensional code. Since the correction value can be fixed by sticking to a predetermined position of a predetermined subject, it is not necessary to calculate the correction value, and the predetermined fixed value is Since so as to store updated in the storage means as a positive value, it is possible to easily obtain the object for orientation data to obtain the desired subject image.

  The subject image delivery method for a network camera according to claim 14 of the present application is the configuration according to claim 11 or 12, wherein the step of storing the URL code and the subject orientation data in association with each other in the storage means includes the subject With the subject-side two-dimensional code pasted at a predetermined position, the focus lens of the imaging means is set to the standard mode, and the subject is imaged in this standard mode to obtain the subject image. The step of determining whether or not the subject-side two-dimensional code of the subject can be recognized, and if it is determined that the subject-side two-dimensional code of the subject can be recognized, the posture data of the imaging means is used as code posture data, The code attitude data and a predetermined correction value are stored as the subject attitude data in association with the URL code in the storage means. That was to have a step.

  Therefore, according to the subject image delivery method for a network camera according to claim 14 of the present application, the subject is imaged in the standard mode by the imaging means to obtain a subject image, and the subject side of the subject is obtained from the subject image. It is determined whether or not the dimension code has been recognized, and if it is determined that the subject-side two-dimensional code of the same subject has been recognized, the attitude data of the imaging means is used as the code attitude data, and the code attitude data and the predetermined data The correction value is fixed and stored in the storage means in association with the URL code of the subject, that is, the correction value is fixed by pasting the subject-side two-dimensional code at a predetermined position of the subject. Therefore, it is not necessary to calculate a correction value, and a predetermined fixed value is stored and updated in the storage unit as a correction value. Subject for orientation data to obtain the image can be easily acquired.

(Embodiment 1)
A pet hotel monitoring system according to a first embodiment of the network camera of the present invention will be described below with reference to the drawings. FIG. 1 is a block diagram showing a schematic configuration inside a pet hotel monitoring system according to the first embodiment.

  A pet hotel monitoring system 1 shown in FIG. 1 is arranged in a pet hotel 2 and includes a network camera 3 having a camera mechanism for imaging a pet housed in a gauge 2A shown in FIG. It has an internet 4 for communication connection, a mobile phone with camera 5 owned by a pet owner, for example, and a monitor PC 6 for monitoring and controlling the network camera 3.

  In the monitor PC 6 on the pet hotel 2 side, when a pet is deposited from the owner, the pet identification information for identifying the pet and the URL code necessary for acquiring the subject image of the pet are input, and the pet identification information and the URL code are input. A QR code in which is encoded is created. Note that the URL code and the pet identification information are different for each pet.

  At the pet hotel 2 side, the deposit card 7 with the created QR code attached as the terminal side QR code 7A is issued to the owner, and the same code as the QR code 2B is used as the subject side QR code 2B. It is affixed to 2A. The subject-side QR code 2B attached to the gauge 2A is, for example, 7 cm square.

  FIG. 3 is a block diagram showing a schematic configuration inside the network camera 3 and the camera-equipped mobile phone 5.

  The camera-equipped mobile phone 5 shown in FIG. 3 includes a terminal-side camera unit 5A that images the terminal-side QR code 7A attached to the deposit card 7, and an image that is captured by the terminal-side camera unit 5A using a QR code application. The QR code image is extracted from the image, and the QR code is extracted and restored from the extracted QR code image. The terminal side QR code restoration unit 5B obtains the URL code, and the terminal side QR code restoration unit 5B obtains the URL code. A terminal-side communication unit 5C that accesses the network camera 3 via the Internet 4 via the Internet based on the URL code.

  A network camera 3 shown in FIG. 3 includes a camera mechanism unit 11 that captures an image of an object, an image processing unit 12 that performs image processing on a captured image captured by the camera mechanism unit 11, and image processing performed by the image processing unit 12. The image memory unit 13 that stores the captured image subjected to the processing, the QR code restoration unit 14 that extracts and restores the QR code from the captured image stored in the image memory unit 13 using the QR code application, and each URL code A preset memory 15 for storing posture data, a step conversion unit 16 for converting the posture data into a step pulse, and driving a camera posture such as an imaging direction of the camera mechanism 11 based on the step pulse corresponding to the posture data. An attitude drive unit 17 to be controlled, an Internet connection unit 18 that controls a communication interface with the Internet 4, Internet control unit 19 that controls communication of the Internet connection unit 18, terminal control unit 20 that controls communication with the camera-equipped mobile phone 5 via the Internet 4, and communication memory unit 21 used for communication via the Internet 4 A network connection unit 22 that controls a communication interface with the monitor PC 6, a PC communication unit 23 that controls communication of the network connection unit 22, and an imaging area of the camera mechanism unit 11 into a plurality of blocks (standard block and zoom block). It has an initial value table 24 that stores posture data in the same block unit as initial values, a system control unit 25 that controls the entire network camera 3, and a CPU 30 that controls the bus line 30A.

  The camera mechanism unit 11 is assumed to have an autofocus function that allows the lens focus to be set to the standard mode and the zoom mode.

  As shown in FIGS. 8A and 8B described later, the QR code restoration unit 14 extracts and restores a QR code image from the captured image by expanding the captured image on the internal matrix memory 14A. It is.

  FIG. 4 is an explanatory diagram briefly showing the contents of the table in the preset memory 15, and FIG. 5 is an explanatory diagram showing the relationship between the QR code orientation data and the correction value in the subject orientation data which is the table content.

  The preset memory 15 shown in FIG. 4 includes a subject side QR code and a terminal side QR code affixed to the gauge 2A, and a zoom value for capturing a subject image of a pet related to the URL code 15A. 15B and subject orientation data 15C are set and stored in association with each other.

  As shown in FIG. 5B, the subject orientation data 15C includes a camera orientation for designating a QR code imaging range X for imaging the subject QR code 2B attached to the gauge 2A corresponding to the URL code 15A. QR code orientation data 15D indicating (pan angle and chilled angle) and a desired subject image range in which a desired subject image is acquired as shown in FIG. 5B, for example, the outer frame of the gauge 2A fits in the captured image An error between the attitude data for designating Y and the QR code attitude data, that is, a correction value 15E, is obtained, and a desired subject image is obtained by adding the correction value 15E to the QR code attitude data 15D The camera posture can be adjusted.

  The lens extension line 11A of the camera mechanism unit 11 shown in FIG. 5A indicates the center line of the lens imaged by the camera mechanism unit 11, and the lens 11B is standard by moving virtually on the lens extension line 11A. The mode or zoom mode is set. For example, when extracting and restoring the subject-side two-dimensional code 2B attached to the gauge 2A, the camera mechanism unit 11 is set to the zoom mode by moving the lens 11B to the W point, and for example, a desired subject image is acquired. Is to set the camera mechanism 11 to the standard mode by moving the lens 11B to the Z point.

  When imaging the subject-side QR code 2B attached to the gauge 2A, the camera mechanism unit 11 aligns the lens extension line 11A with the center of the subject-side QR code 2B and places the lens 11B at a W point on the lens extension line 11A. The zoom mode is set by moving, and the subject side QR code 2B in the QR code imaging range X is imaged and extracted and restored by the QR code restoration unit 14.

  Furthermore, when the QR code restoration unit 14 completes the extraction and restoration operation of the subject QR code 2B, the camera mechanism unit 11 sets the standard mode by moving the lens 11B to the Z point on the lens extension line 11A. Since the lens extension line 11A is the center of the subject-side QR code 2B, the lens extension line 11A slightly deviates from the desired subject image range Y for obtaining the desired subject image, as indicated by the one-dot chain line in the figure.

  Therefore, the camera mechanism unit 11 corrects the lens extension line 11A to be aligned with the center of the desired subject, that is, performs drive control based on the subject orientation data 15D and the correction value 15E, so that the two-dot chain line in the figure. As shown, the desired subject image is acquired in the desired subject image range Y in accordance with the desired subject imaging range Y centered on the desired subject.

  Further, the system control unit 25 in the network camera 3 shown in FIG. 3 stores the preset memory 15, the image memory unit 13, the communication memory unit 21, and the initial value table 24. When communication access based on the URL code from the camera-equipped mobile phone 5 is detected through the correction value calculation unit 25B for calculating the correction value 15E and the Internet control unit 19, the subject posture data 15C corresponding to the URL code 15A is preset. A search control unit 25C for searching from the memory 15;

  The system control unit 25 corresponds to a part that executes an initial value setting process (see FIG. 9), a preset update process (see FIGS. 10 and 11), and a part of the target subject image acquisition process (see FIG. 13). Is.

  The initial value setting process is a process for updating the contents of the initial value table 24 when, for example, a gauge is arranged or a network camera is arranged, and an imaging area to be imaged by the camera mechanism unit 11 is divided into a plurality of standard blocks and zoom blocks. And pre-processing for setting and storing posture data in the initial value table 24 in units of standard blocks and zoom blocks.

  The preset update process is a process for updating the table contents of the preset memory 15 performed when, for example, a pet deposited from the owner is accommodated in the gauge 2A, and includes QR code posture data 15D for each gauge 2A and This is preprocessing for storing and updating subject posture data 15C such as a correction value 15E in the preset memory 15.

  In the subject image acquisition process, for example, when communication access based on the URL code from the owner's camera-equipped mobile phone 5 is detected, the subject posture data 15C corresponding to the URL code is read from the preset memory 15, and the read subject This is a process for capturing a subject image based on the orientation data 15C for use and delivering the subject image to the camera-equipped mobile phone 5.

  FIG. 6 is an explanatory diagram simply showing the block configuration of the imaging area of the network camera 3, and FIG. 7 is an explanatory diagram simply showing the table contents of the initial value table 24. For convenience of explanation, the gauge 2A imaged by the network camera 3 has, for example, a total of eight arrangement configurations as shown in FIG.

  The system control unit 25 sets the focus lens of the camera mechanism unit 11 to the standard mode, assigns an imaging region so that the outer frame of the gauge 2A fits in the captured image for each gauge 2A, as shown in FIG. A1 to A8, a total of 8 standard blocks, attitude data is acquired in standard block units, and the attitude data is stored in the initial value table 24 for each standard block unit as shown in FIG. It is.

  Further, the system control unit 25 sets the focus lens of the camera mechanism unit 11 to the zoom mode, divides the standard block into four imaging areas, and a total of 32 B1 to B32 as shown in FIG. 6B. At this time, posture data is acquired in units of zoom blocks, and the posture data is stored in the initial value table 24 as shown in FIG. 7B for each zoom block. For example, the standard block A1 is zoom blocks B1, B2, B9, B10, the standard block A3 is zoom blocks B5, B6, B13, B14, the standard block A4 is zoom blocks B7, B8, B15, B16, and the standard block A7 is zoomed. This corresponds to the blocks B21, B22, B29, B30.

  The system control unit 25 stores and manages posture data in units of standard blocks and zoom blocks in the initial value table 24 in advance, so that processing operation for acquiring posture data for each subject-side QR code 2B during preset update processing is performed. It can be done smoothly.

  FIG. 8 is an explanatory diagram simply showing a developing operation on the matrix memory 14A for restoring the QR code from the captured image by the QR code restoration unit 14 in the network camera 3. FIG. 8 is an image representation of white and black of the captured image developed on the matrix memory 14A as “0” and “1”.

  The QR code restoration unit 14 develops the captured image subjected to the image processing by the image processing unit 12 on the matrix memory 14A as shown in FIGS. 8A and 8B, and the bit string on the matrix memory 14A. In this combination, the QR code image is extracted from the matrix memory 14A, and the QR code is restored from the QR code image.

  When the terminal control unit 20 shown in FIG. 3 acquires the subject image by the camera mechanism unit 11 based on the subject orientation data 15C in the above-described target subject image acquisition process, the terminal image of the camera-equipped mobile phone 5 is obtained. For example, the image is converted into an image format such as MPEG4 or JPEG, and the subject image is provided to the mobile phone with camera 5 via the Internet 4.

  The image pickup means is the camera mechanism section 11, the communication means is the Internet control section 19, the image providing means is the terminal control section 20, the storage means is the preset memory 15, the search means is the search control section 25C, and the drive control means is Attitude drive unit 17, control unit is system control unit 25, user terminal device is camera-equipped mobile phone 5, terminal-side imaging unit is terminal-side camera unit 5A, terminal-side restoration unit is terminal-side QR code restoration unit 5B, and terminal-side communication The means is the terminal side communication unit 5C, the two-dimensional code recognition determination unit is the QR code restoration unit 14, the storage update unit is the memory control unit 25A, the correction value calculation unit is the correction value calculation unit 25B, the first two-dimensional code recognition determination unit, The second two-dimensional code recognition determination means is the QR code restoration unit 14, the subject-side two-dimensional code is the subject-side QR code 2B, and the terminal-side two-dimensional code is the terminal-side QR code. It is equivalent to A.

  Next, operation | movement of the monitoring system 1 for pet hotels which shows 1st Embodiment is demonstrated. FIG. 9 is a flowchart showing processing operations related to the initial value setting process of the system control unit 25 in the network camera 3.

  The initial value setting process shown in FIG. 9 is a process for updating the contents of the initial value table 24 using the monitor PC 6 when, for example, a network camera is installed or a gauge is placed.

  In FIG. 9, the system control unit 25 in the network camera 3 sets the focus lens of the camera mechanism unit 11 to the standard mode in response to an input operation from the monitor PC 6 (step S <b> 11), and sets the imaging target of the camera mechanism unit 11. The standard block A1 shown in FIG. 6A is selected (step S12). In the monitor PC 6, the camera posture of the camera mechanism unit 11 can be changed, and the captured image of the standard block A 1 is displayed on the screen on the monitor PC 6.

  When the user of the monitor PC 6 views the captured image on the display screen and acquires a captured image that fits the outer frame of the gauge 2A corresponding to the standard block A1, the user inputs the posture data corresponding to the camera posture at this time. It will be.

  When the system control unit 25 detects an input of posture data for the selected standard block from the monitor PC 6 (step S13), the posture control data is stored and updated in the initial value table 24 in association with the standard block. (Step S14).

  Next, the system control unit 25 determines whether or not the posture data storage update operation corresponding to all the standard blocks (A0 to A8) in the initial value table 24 has been completed (step S15). The system control unit 25 selects the imaging target of the camera mechanism unit 11 as the next standard block unless the posture data storage update operation corresponding to all the standard blocks is completed (step S16), and the posture of the standard block To accept data input, the process proceeds to step S13. That is, the imaging target of the camera mechanism unit 11 is sequentially selected in the order of the standard blocks A1, A2, A3, A4, A5, A6, A7, and A8.

  If the posture data storage / updating operation corresponding to all the standard blocks is completed in step S15, the system control unit 25 sets the focus lens of the camera mechanism unit 11 to the zoom mode (step S17), and the camera. The imaging target of the mechanism unit 11 is selected as the zoom block B1 shown in FIG. 6B (step S18). In the monitor PC 6, the imaging screen of the zoom block B1 is displayed on the screen.

  When the user of the monitor PC 6 views the captured image on the display screen and acquires a captured image corresponding to the zoom block B1, the user inputs the posture data corresponding to the camera posture at this time.

  When the system control unit 25 detects the input of posture data for the selected zoom block from the monitor PC 6 (step S19), the system control unit 25 stores and updates the posture data in the initial value table 24 in association with the zoom block. (Step S20).

  The system control unit 25 determines whether or not the posture data storage update operation corresponding to all the zoom blocks (B1 to B32) in the initial value table 24 has been completed (step S21). The system control unit 25 selects the imaging target of the camera mechanism unit 11 as the next zoom block unless the posture data storage update operation corresponding to all zoom blocks is completed (step S22), and the posture of the zoom block To accept data input, the process proceeds to step S19. That is, the imaging target of the camera mechanism unit 11 is sequentially selected in the order of the zoom blocks B1, B2 to B31, B32.

  Then, if the posture data storage / updating operation corresponding to all zoom blocks is completed in step S21, the system control unit 25 returns the focus lens of the camera mechanism unit 11 to the standard mode (step S23). The value setting process ends.

  According to the initial value setting process shown in FIG. 9, for example, when the network camera 3 is installed or the gauge 2A is installed, the posture data for each imaging area (standard block and zoom block) of the network camera 3 is used as the initial value by using the monitor PC 6. Since the table 24 is stored and updated, it is possible to smoothly perform the preset update processing related to the preset memory 15 by grasping the posture data for each imaging region in advance.

  10 and 11 are flowcharts showing processing operations related to preset update processing of the system control unit 25 in the network camera 3.

  The preset update processing shown in FIG. 10 and FIG. 11 is for storing and updating subject posture data 15C such as QR code posture data 15D and correction value 15E for each gauge 2A when the pet's gauge 2A is accommodated. It is processing of.

  For example, when the user of the monitor PC 6 keeps a pet from the owner and stores the pet in the predetermined gauge 2A, the subject side QR code 2B attached to the gauge 2A through the monitor PC 6 and the best subject image in the gauge 2A are displayed. A starting operation for storing the subject posture data 15C corresponding to the camera posture to be acquired in the preset memory 15 is executed.

  When the system control unit 25 in the network camera 3 detects the start operation of the preset update process through the monitor PC 6, it sets the table contents of the initial value table 24 (step S31) and sets the lens focus of the camera mechanism unit 11 to the zoom mode. Set (step S32). In step S31, by setting the table contents of the initial value table 24, the camera posture of the camera mechanism unit 11 can be set smoothly in units of standard blocks and zoom blocks.

  Further, the system control unit 25 starts the symbol image scanning operation of the camera mechanism unit 11 in units of zoom blocks in the initial value table 24 (step S33).

  The symbol image scanning operation refers to zooming in order to acquire a captured image in units of B1 to B32 zoom blocks based on attitude data corresponding to the zoom blocks in the initial value table 24 shown in FIG. The posture data is converted into step pulses by the step conversion unit 16 for each block, and the scanning operation by the camera mechanism unit 11 is started by the posture driving unit 17 based on the step pulses.

  Further, when the system control unit 25 changes the camera posture of the camera mechanism unit 11 based on the step pulse and acquires the captured image of the zoom block (step S34), the system control unit 25 stores the captured image in the image memory unit 13 (step S34). S35) In order to execute the processing operation for extracting and restoring the subject-side QR code 2B from the captured image in the QR code restoration unit 14, the output of the step pulse is stopped (step S36).

  The system control unit 25 develops the captured image stored in the image memory unit 13 on the matrix memory 14A by the QR code restoring unit 14 (step S37), and the subject side QR code from the captured image on the matrix memory 14A. In order to extract and restore 2B, QR code extraction and restoration processing is executed (step S38). The QR code extraction / restoration process is a process of extracting a QR code image from the captured image developed on the matrix memory 14A, and extracting and restoring the QR code from the extracted QR code image.

  The system control unit 25 determines whether or not the subject-side QR code 2B has been extracted and restored from the captured image by the QR code extraction and restoration process (step S39).

  When it is determined that the subject-side QR code 2B can be extracted and restored from the captured image, the system control unit 25 restores and acquires the pet identification information and the URL code from the subject-side QR code 2B, and changes the camera posture of the captured image. This is acquired as QR code attitude data 15D (step S40).

  When acquiring the QR code orientation data 15D, the system control unit 25 stores and updates the QR code orientation data 15D in the preset memory 15 in association with the URL code 15A of the subject QR code 2B (step S41).

  Then, the system control unit 25 determines whether or not the scanning operation corresponding to all zoom blocks has been completed (step S42). If the scanning operation for all zoom blocks has not been completed, the system control unit 25 corresponds to the next zoom block so as to execute the scanning operation for the next zoom block, as shown in FIGS. The obtained posture data is read from the initial value table 24, the posture data is converted into a step pulse, the converted step pulse is supplied to the posture driving unit 17 (step S43), and a captured image corresponding to the next zoom block is acquired. Therefore, the process proceeds to step S34.

  If the subject-side QR code 2B cannot be extracted and restored from the captured image in step S39, the system control unit 25 determines whether or not the scanning operation for all zoom blocks has been completed. Migrate to

  If the scanning operation of all zoom blocks, that is, the scanning operation of all zoom blocks B1 to B32 is completed, the system control unit 25 proceeds to M1 shown in FIG.

  In M1 of FIG. 11, the system control unit 25 sets the lens focus of the camera mechanism unit 11 to the standard mode (step S51).

  The system control unit 25 determines whether there is QR code posture data 15D in which no correction value is registered in the preset memory 15 (step S52).

  When it is determined that there is QR code posture data 15D in which no correction value is registered in the preset memory 15, the system control unit 25 sets the first QR code posture data 15D from the preset memory 15 (step S53). ), The scan operation of the target subject image based on the QR code posture data being set is started (step S54).

  The scan operation of the target subject image means that the step conversion unit 16 converts the QR code posture data 15D into a step pulse, and the posture driving unit 17 drives and controls the camera posture of the camera mechanism unit 11 based on the step pulse. In addition, the camera posture is adjusted so that the best target subject image can be acquired on the display screen of the monitor PC 6. The user of the monitor PC 6 executes the acquisition completion operation when the best subject image is visually confirmed on the display screen.

  The system control unit 25 determines whether or not the best target subject image acquisition completion operation has been detected from the monitor PC 6 during execution of the target subject image scan operation (step S55).

  Upon detecting the best target subject image acquisition completion operation, the system control unit 25 acquires subject posture data 15C corresponding to the camera posture of the target subject image (step S56), and the QR value through the correction value calculation unit 25B. A correction value 15E is calculated based on the code orientation data 15D and the subject orientation data (step S57).

  When the correction value calculation unit 25B calculates the correction value 15E, the system control unit 25 stores the correction value 15E in the preset memory 15 in association with the QR code posture data 15D (step S58). It is determined whether there is QR code orientation data 15D for which no correction value is registered (step S59).

  When it is determined that there is QR code attitude data 15D in which no correction value is registered in the preset memory 15, the system control unit 25 sets the next QR code attitude data 15D in which no correction value is registered (step S60). Then, the process proceeds to step S54 in order to start the scanning operation based on the QR code attitude data 15D being set.

  If the system control unit 25 has not detected the best subject image acquisition operation from the monitor PC 6, the system control unit 25 proceeds to step S54 in order to continue the camera posture adjustment operation of the camera mechanism unit 11.

  If the system control unit 25 determines in step S52 or step S59 that there is no QR code orientation data 15D in which no correction value is registered in the preset memory 15, the system control unit 25 ends the processing operation of the preset update processing.

  10 and 11, the QR code orientation for recognizing the subject side QR code 2B attached to each gauge 2A in the zoom mode based on the orientation data stored in the initial value table 24 according to the preset update processing shown in FIGS. In addition to acquiring the data 15D, a correction value 15E for acquiring the best subject image is calculated based on the QR code orientation data 15D, and the QR code orientation data 15D and the correction value 15E are obtained as the subject QR code. Since the preset memory 15 is stored and updated in association with the URL code 15A of 2B, the network camera 3 side can grasp the camera posture of the best subject image of the pet stored.

  FIG. 13 is a flowchart showing processing operations related to target subject image acquisition processing of the network camera 3 and the camera-equipped mobile phone 5.

  The target subject image acquisition process shown in FIG. 13 is a subject in which a network camera 3 is accessed by communication from a cellular phone 5 with a camera of an owner who has deposited a pet with a pet hotel 2 and the network camera 3 side indicates the current status of the pet. This is a process of capturing an image and providing this subject image to the camera-equipped mobile phone 5.

  In FIG. 13, the owner's camera-equipped mobile phone 5 uses the terminal-side camera unit 5A to image the terminal-side QR code 7A affixed to the pet deposit card 7 as the target subject (step S71), and the imaging operation is completed. It is determined whether or not (step S72).

  When the imaging operation of the terminal-side QR code 7A is completed, the camera-equipped mobile phone 5 extracts the terminal-side QR code 7A from the captured image (step S73), and restores the terminal-side QR code 7A to restore the terminal-side QR code 7A. A URL code is acquired (step S74).

  Upon acquiring the URL code, the camera-equipped mobile phone 5 accesses the network camera 3 via the Internet 4 based on the URL code (step S75).

  When the system control unit 25 in the network camera 3 detects communication access on the Web based on the URL code from the camera-equipped mobile phone 5 (step S76), the QR code attitude data 15D corresponding to the URL code 15A is preset. It is determined whether or not it is in the memory 15 (step S77).

  When it is determined that the QR code attitude data 15D corresponding to the URL code 15A is in the preset memory 15, the system control unit 25 obtains the QR code attitude data 15D and the correction value 15E corresponding to the URL code 15A. Reading from the preset memory 15 (step S78), the QR code orientation data 15D and the correction value 15E are converted into step pulses through the step converter 16 (step S79), and the step pulses are supplied to the posture driver 17 so that the camera The camera posture of the mechanism unit 11 is driven and controlled (step S80).

  The system control unit 25 determines whether or not the driving operation of the camera mechanism unit 11 has been completed (step S81). When it is determined that the driving operation of the camera mechanism unit 11 has been completed, the system control unit 25 acquires a subject image by capturing an image of the subject through the camera mechanism unit 11 (step S82). Note that the subject image acquired in step S82 corresponds to the subject image of the pet desired by the owner.

  When acquiring the subject image, the system control unit 25 performs digital conversion processing and binarization processing on the subject image, and stores them in the image memory unit 13 (step S83).

  The system control unit 25 encodes the subject image stored in the image memory unit 13 through the terminal control unit 20 into an image format for a camera-equipped cellular phone, and communicates with the URL code 15 </ b> A via the Internet 4. The data is transmitted to the telephone 5 (step S84).

  The system control unit 25 determines whether or not an access disconnection of the camera-equipped mobile phone 5 that is accessing the communication is detected (step S85). If it is detected that the access has been disconnected, the system control unit 25 ends the operation of providing the subject image to the camera-equipped mobile phone 5 (step S86) and ends the connection operation with the Internet 4 (step S87). ), The processing operation of the target subject image acquisition process is terminated.

  If it is determined in step S77 that the QR code attitude data 15D corresponding to the URL code 15A is not in the preset memory 15, the system control unit 25 carries the camera-equipped mobile phone during communication access based on the URL code. Not applicable message is notified to the telephone 5 (step S88), and the Internet connection operation is terminated (step S89), and the processing operation of the target subject image acquisition processing is terminated.

  According to the target subject image acquisition processing shown in FIG. 13, the terminal side QR code 7A attached to the pet deposit card 7 is imaged by the camera-equipped mobile phone 5, and the terminal side QR code 7A is extracted and restored, thereby the URL code. When the communication access to the network camera 3 based on the URL code is detected, the QR camera orientation data 15D and the correction value 15E corresponding to the URL code 15A are read from the preset memory 15 on the network camera 3 side. Based on the QR code attitude data 15D and the correction value 15E, the camera attitude of the camera mechanism unit 11 is drive-controlled to acquire the subject image, thereby providing the subject image to the camera-equipped mobile phone 5 that is accessing the communication. As a result, users who have placed their pets in the pet hotel 2 can enter URL codes, for example. The current situation by viewing the subject image of the pet using the camera-equipped mobile phone 5 without the need for troublesome operations such as adjusting the camera posture of the network camera 3 and specifying acquisition of the subject subject image. Can be grasped above.

  According to the first embodiment, the URL code that is the access destination for acquiring the subject image of the subject, and the camera posture of the camera mechanism unit 11 for acquiring the desired subject image among the subject images. When the communication access via the Internet 4 based on the URL code is detected from the camera-equipped mobile phone 5, the subject attitude data corresponding to the URL code is read, and the subject attitude data is stored. The camera posture of the camera mechanism unit 11 is driven and controlled based on the camera mechanism unit 11 to start the imaging operation of the camera mechanism unit 11, and a desired subject image captured by the camera mechanism unit 11 is connected to the camera-equipped mobile phone 5 via the Internet 4. Since the user of the camera-equipped cellular phone 5 uses the URL code corresponding to the desired subject image, It is possible to obtain a desired subject image in real time simply by accessing the network, and by storing a plurality of subject posture data with one network camera 3, a plurality of subjects can be obtained with one network camera 3. Since an image can be acquired, an inexpensive system configuration can be provided.

  According to the first embodiment, the terminal-side QR code image is acquired by capturing the terminal-side QR code obtained by encoding the URL code by the camera-equipped mobile phone 5, and the terminal-side QR code image is restored. Thus, the URL code is acquired, and based on the URL code, the network camera 3 is accessed for communication via the Internet 4 and the subject image from the network camera 3 is acquired. By simply capturing the QR code on the terminal side and restoring the QR code on the terminal side, the URL code can be easily communicated and accessed without having to input the URL code. The subject image corresponding to the code can be easily acquired.

  In the first embodiment, the preset QR update process shown in FIGS. 10, 11, and 12 switches from the standard mode to the zoom mode and recognizes the subject QR code 2B from the captured image in units of zoom blocks. The QR code orientation data 15D is acquired and the QR code orientation data 15D is updated to the preset memory 15. However, as will be described below, the subject side QR code 2B is obtained from the captured image of the standard block unit in the standard mode. QR code orientation data 15D may be recognized, and such an embodiment will be described as a second embodiment based on FIG. 14 to FIG.

(Embodiment 2)
FIG. 14 is an operation explanatory diagram simply showing an imaging operation in units of standard blocks related to preset update processing according to the second embodiment, and FIG. 15 is a diagram simply showing an imaging operation in units of zoom blocks related to the preset update processing. It is operation | movement explanatory drawing. In addition, the same code | symbol is attached | subjected to the same thing as the monitoring system 1 for pet hotels which shows 1st Embodiment, and the description of the overlapping structure and operation | movement is abbreviate | omitted.

  In the preset update process according to the second embodiment, the subject side QR code 2B is recognized from the captured image of the standard block unit as shown in FIG. 14 while the lens focus of the camera mechanism unit 11 is set to the standard mode. 15, the QR code orientation data 15D is acquired, and the lens focus is set to the zoom mode only when the subject side QR code 2B cannot be recognized from the captured image of the same standard block unit, as shown in FIG. The QR code orientation data 15D is acquired by recognizing the QR code from the captured image in the same zoom block.

  FIGS. 16 and 17 are flowcharts showing processing operations related to the preset update processing of the system control unit 25 inside the network camera 3 according to the second embodiment.

  In FIG. 16, when the system control unit 25 in the network camera 3 detects the activation operation of the preset update process through the monitor PC 6, the table content of the initial value table 24 is set (step S101), and the lens focus of the camera mechanism unit 11 is set. The standard mode is maintained and set (step S102). In step S101, by setting the table contents of the initial value table 24, the camera posture of the camera mechanism unit 11 can be set smoothly in units of standard blocks and zoom blocks.

  Further, the system control unit 25 starts a symbol image scanning operation by the camera mechanism unit 11 in units of standard blocks in the initial value table 24 (step S103). The symbol image scanning operation is a standard for acquiring captured images in units of standard blocks A1 to A8 based on attitude data corresponding to standard blocks in the initial value table 24 shown in FIG. The posture data is converted into step pulses by the step conversion unit 16 for each block, and the scanning operation by the camera mechanism unit 11 is started by the posture driving unit 17 based on the step pulses.

  Further, when the system control unit 25 changes the camera posture of the camera mechanism unit 11 based on the step pulse and acquires the captured image of the standard block (step S104), the system control unit 25 stores the captured image in the image memory unit 13 (step S104). In step S105, the output of the step pulse is stopped to execute the processing operation for recognizing the QR code from the captured image (step S106).

  The system control unit 25 develops the captured image stored in the image memory unit 13 on the matrix memory 14A by the QR code restoration unit 14 (step S107), and the subject side QR code from the captured image on the matrix memory 14A. In order to extract and restore 2B, QR code extraction and restoration processing is executed (step S108).

  The system control unit 25 determines whether or not the subject-side QR code 2B has been extracted and restored from the captured image by the QR code extraction and restoration process (step S109).

  When it is determined that the subject-side QR code 2B can be extracted and restored from the captured image, the system control unit 25 acquires the pet identification information and the URL code of the subject-side QR code 2B, and the camera of the captured image The attitude is acquired as QR code attitude data 15D (step S110).

  When acquiring the QR code orientation data 15D, the system control unit 25 stores and updates the QR code orientation data 15D in the preset memory 15 in association with the URL code 15A of the subject QR code 2B (step S111).

  Then, the system control unit 25 determines whether or not the scanning operation corresponding to all the standard blocks has been completed (step S112). If the scanning operation for all the standard blocks has not been completed, the system control unit 25 supports the next standard block so as to execute the scanning operation for the next standard block, as shown in FIGS. The obtained posture data is read from the initial value table 24, the posture data is converted into a step pulse, and the converted step pulse is supplied to the posture driving unit 17 (step S113), and a captured image corresponding to the next standard block is acquired. Therefore, the process proceeds to step S104.

  If the subject-side QR code 2B cannot be extracted and restored from the captured image in step S109, the system control unit 25 sets the lens focus of the camera mechanism unit 11 to the zoom mode (step S114). A captured image including the subject-side QR code 2B is acquired for each zoom block in the block (step S115), and the captured image is stored in the image memory unit 13 (step S116).

  The system control unit 25 develops the captured image stored in the image memory unit 13 on the matrix memory 14A by the QR code restoration unit 14 (step S117), and the subject-side QR code from the captured image on the matrix memory 14A. In order to extract and restore 2B, QR code extraction and restoration processing is executed (step S118).

  The system control unit 25 determines whether or not the subject-side QR code 2B can be extracted and restored from the captured image by the QR code extraction and restoration process (step S119).

  When it is determined that the subject-side QR code 2B can be extracted and restored from the captured image, the system control unit 25 sets the lens focus of the camera mechanism unit 11 to the standard mode (step S120), and the subject-side QR code. In order to acquire 2B pet identification information and URL code, the process proceeds to step S110.

  If it is determined in step S119 that the subject-side QR code 2B cannot be extracted and restored from the captured image, the system control unit 25 returns the lens focus of the camera mechanism unit 11 to the standard mode (step S121), and the error message. Is sent to the monitor PC 6 (step S122), and the process proceeds to step S112 to determine whether or not the scanning operation of all the standard blocks has been completed.

  If the scanning operation for all the standard blocks is completed in step S112, the system control unit 25 proceeds to M2 in FIG.

  In M2 of FIG. 17, the system control unit 25 determines whether there is QR code posture data 15D in which no correction value is registered in the preset memory 15 (step S131).

  When it is determined that there is QR code attitude data 15D in which no correction value is registered in the preset memory 15, the system control unit 25 sets the first QR code attitude data 15D from the preset memory 15 (step S132). ), The scanning operation of the target subject image based on the QR code posture data 15D being set is started (step S133).

  The system control unit 25 determines whether or not the best target subject image acquisition completion operation has been detected from the monitor PC 6 during execution of the target subject image scan operation (step S134).

  When detecting the acquisition completion operation of the best target subject image, the system control unit 25 acquires subject posture data corresponding to the camera posture of the target subject image (step S135), and through the correction value calculation unit 25B, the QR code. A correction value 15E is calculated based on the orientation data 15D and the orientation data for the subject (step S136).

  When the correction value calculation unit 25B calculates the correction value 15E, the system control unit 25 stores the correction value 15E in the preset memory 15 in association with the QR code attitude data 15D (step S137). It is determined whether there is QR code posture data 15D for which no correction value is registered (step S138).

  If it is determined that there is QR code attitude data 15D in which no correction value is registered in the preset memory 15, the system control unit 25 sets the next QR code attitude data 15D in which no correction value is registered (step S139). In order to start the scanning operation based on the QR code posture data 15D being set, the process proceeds to step S133.

  If the system control unit 25 has not detected the best subject image acquisition operation from the monitor PC 6 in step S134, the system control unit 25 proceeds to step S133 to continue the camera posture adjustment operation of the camera mechanism unit 11.

  If the system control unit 25 determines in step S131 or step S138 that there is no QR code orientation data that has not been registered in the preset memory 15, the system control unit 25 ends the processing of the preset update process.

  According to the preset update process shown in FIGS. 16 and 17, the QR code is recognized from the captured image of the standard block unit as shown in FIG. 14 while the lens focus of the camera mechanism unit 11 is set to the standard mode. The lens focus is set to the zoom mode only when the code attitude data 15D is acquired and the QR code cannot be recognized from the captured image in the same standard block unit, and as shown in FIG. Since the QR code attitude data 15D is acquired by recognizing the QR code from the captured image, the switching operation for switching from the standard mode to the zoom mode can be suppressed as much as possible.

  Further, according to the preset update process, when the QR code attitude data 15D is acquired, the correction value 15E for acquiring the best subject image is calculated based on the QR code attitude data 15D, and the QR code attitude data 15D is calculated. Since the posture data 15D and the correction value 15E are stored and updated in the preset memory 15 in association with the URL code 15A of the subject QR code 2B, the camera of the best subject image of the pet kept on the network camera 3 side. You can also grasp your posture.

  In the second embodiment, the correction value 15E is calculated based on the QR code posture data 15D and the subject posture data in the preset update process, and the calculated correction value 15E is used as the QR code posture data 15D. The preset memory 15 is stored and updated in association with the above, but the posture data for obtaining a desired subject image may be set to a fixed value by fixing the application position of the subject QR code 2B for each gauge 2A. Well, this embodiment will be described as a third embodiment. The same components as those in the first embodiment are denoted by the same reference numerals, and the description of the overlapping configuration and operation is omitted.

(Embodiment 3)
In the network camera 3 according to the third embodiment, an arrangement location of the subject QR code 2B with respect to the gauge 2A is determined in advance, and each gauge is common to the QR code posture data 15D with respect to the subject QR code 2B. By adding this correction value, the camera posture can be obtained so that the best subject image can be obtained, and the operation of calculating the correction value 15E as in the first embodiment is omitted.

  In other words, when the network camera 3 obtains the QR code orientation data 15D for each gauge 2A, it simply stores and updates the QR code orientation data 15D corresponding to the URL code 15A of the subject QR code 2B in the preset memory 15. If, for example, communication access based on the URL code of the subject is detected from the owner's camera-equipped mobile phone 5, the QR code attitude data 15D corresponding to the URL code 15A is read and preset in the QR code attitude data 15D. By driving and controlling the camera posture of the camera mechanism 11 based on posture data to which a common correction value is added, a subject image of a pet desired by the owner can be captured.

  FIG. 18 is a flowchart showing processing operations related to the preset update processing of the system control unit 25 in the network camera 3 according to the third embodiment.

  In FIG. 18, the system control unit 25 executes the processing operations of steps S41 to S43, and sets the lens focus of the camera mechanism unit 11 to the standard mode if the scanning operation for all zoom blocks is completed in step S42. (Step S42A), the processing operation of the preset update processing is terminated without executing the calculation operation of the correction value 15E.

  According to the third embodiment, the correction value 15E common to the gauges is set in advance, so that even if the QR code posture data 15D for each gauge 2A is acquired, the calculation operation of the correction values is executed. Therefore, it is only necessary to store the QR code attitude data 15D in the preset memory 15, so that the processing operation can be greatly reduced as compared with the preset update processing shown in FIGS. .

  Similarly, in the second embodiment, the correction value 15E for each QR code posture data 15D is obtained based on the QR code posture data 15D and the subject posture data in the preset update processing shown in FIGS. The calculated correction value 15E is stored and updated in the preset memory 15 in association with the QR code posture data 15D. However, the subject-side QR code 2B for each gauge 2A is fixed at a desired position. The posture data for acquiring the subject image may be set to a common fixed value, and the embodiment in this case will be described as a fourth embodiment. The same components as those in the second embodiment are denoted by the same reference numerals, and the description of the overlapping configuration and operation is omitted.

(Embodiment 4)
In the network camera 3 according to the fourth embodiment, the arrangement position of the subject-side QR code 2B with respect to the gauge 2A is determined in advance, so that each QR code orientation data 15D with respect to the subject-side QR code 2B can be individually set. Only by adding a correction value common to the gauge, a configuration is obtained in which a camera posture capable of acquiring the best subject image is obtained, and the operation of calculating the correction value 15E as in the second embodiment is omitted.

  In other words, when the network camera 3 obtains the QR code orientation data 15D for each gauge 2A, it simply stores and updates the QR code orientation data 15D corresponding to the URL code 15A of the subject QR code 2B in the preset memory 15. If, for example, communication access based on the URL code of the subject is detected from the owner's camera-equipped mobile phone 5, the QR code attitude data 15D corresponding to the URL code 15A is read and preset in the QR code attitude data 15D. By driving and controlling the camera posture of the camera mechanism 11 based on posture data to which a common correction value is added, a subject image of a pet desired by the owner can be captured.

  FIG. 19 is a flowchart showing processing operations related to the preset update processing of the system control unit 25 in the network camera 3 according to the fourth embodiment.

  In FIG. 19, the system control unit 25 executes the processing operation of steps S101 to S122, and if the scanning operation for all the standard blocks is completed in step S112, the calculation operation of the correction value 15E is not executed. The processing operation of this preset update process is terminated.

  According to the fourth embodiment, by calculating the correction value 15E common to the gauges in advance, even if the QR code attitude data 15D for each gauge 2A is acquired, the calculation operation of the correction value 15E is executed. Therefore, it is only necessary to store the QR code attitude data 15D in the preset memory 15, so that the processing operation can be greatly reduced as compared with the preset update process shown in FIGS. it can.

  In the first to fourth embodiments, as shown in FIG. 5A, the lens focal point of the camera mechanism unit 11 is obtained, and the QR code orientation data 15D is obtained with the subject side QR code 2B as the center. Then, the correction value 15E is added to the QR code attitude data 15D to drive and control the camera attitude of the camera mechanism section 11, but the subject image is acquired as shown in FIG. The subject attitude data is acquired with the lens focus at the subject instead of the subject QR code 2B, and the camera attitude of the camera mechanism unit 11 is driven and controlled by adding a correction value 15E to the subject attitude data. Thus, it goes without saying that the same effect can be obtained even if the subject QR code is captured and acquired.

  In the first to fourth embodiments, the pet hotel monitoring system 1 has been described as an example. However, for example, the network camera 3 of the present invention can also be applied to a pet mail order sales system in a pet shop. is there. Therefore, a pet shop mail order system will be described as a fifth embodiment.

(Embodiment 5)
FIG. 21 is a block diagram showing a schematic configuration inside the pet shop mail order system showing the fifth embodiment.

  In the first to fourth embodiments, when the network camera 3 is arranged on the pet hotel 2 side and the owner deposits the pet at the pet hotel 2, the pet identification information for identifying the pet on the pet hotel 2 side and A QR code encoded with a URL code is created, and a deposit card 7 to which the terminal QR code 7A of the QR code is attached is given to the owner, and the subject-side QR code 2B having the same contents is attached to the pet 2G I am trying to stick it on.

  On the other hand, in the pet shop mail order system 1A showing the fifth embodiment, the network camera 3 is arranged on the pet shop 200 side, and the pet shop 200 side codes the pet identification information and URL code of the pet as a product. A QR code is created, the terminal-side QR code 201A of this QR code is attached to the catalog 201, the catalog 201 is distributed to the user, and the subject-side QR code 2B having the same content is accommodated in the same product pet. This is attached to the gauge 2A. It is assumed that the catalog 201 includes a picture, sex, age, selling price, type, and the like of the pet in addition to the terminal-side QR code 201A.

  First, the user starts by searching for a desired pet from the catalog 201. When the desired pet is found, the user uses the camera-equipped mobile phone 5 to image the terminal-side QR code 201A corresponding to the pet.

  The camera-equipped mobile phone 5 acquires the URL code by extracting and restoring the terminal-side QR code 201A from the captured image, and executes communication access to the network camera 3 via the Internet 4 based on the URL code.

  When the network camera 3 on the pet shop 200 side detects communication access based on the URL code from the camera-equipped mobile phone 5, it reads out the QR code orientation data 15D and the correction value 15E corresponding to the URL code from the preset memory 15, Based on the QR code attitude data 15D and the correction value 15E, the camera attitude of the camera mechanism unit 11 is driven and controlled, and the camera mechanism unit 11 acquires a user-desired subject image.

  When the network camera 3 acquires the subject image desired by the user, the network camera 3 distributes the subject image to the camera-equipped mobile phone 5 on the user side that is accessing the communication.

  The user of the camera-equipped mobile phone 5 can recognize the current status of the desired pet by viewing the subject image from the network camera 3.

  According to the fifth embodiment, the terminal side QR code 201A of the desired pet on the catalog 201 is extracted and restored from the camera-equipped mobile phone 5 side to obtain the URL code, and the URL code is obtained on the network camera 3 side. When a communication access from the camera-equipped mobile phone 5 based on the URL is detected, the subject image of the desired pet is obtained by controlling the camera mechanism 11 based on the QR code posture data 15D and the correction value 15E corresponding to the URL code. Since the subject image is distributed to the camera-equipped mobile phone 5, the user of the camera-equipped mobile phone 5 can use the camera-equipped mobile phone 5 to use the desired pet without having to go to the pet shop 200. You can visually recognize the current situation.

  In the first to fourth embodiments, the pet hotel monitoring system 1 has been described. In the fifth embodiment, the pet shop mail order system 1A has been described. However, as shown in FIG. It goes without saying that the same effect can be obtained even if the monitoring system 1 and the pet shop mail order system 1A are combined.

  In the first to fifth embodiments, the mobile phone with camera 5 captures the terminal-side QR code 7A and extracts and restores the terminal-side QR code 7A from the captured image to acquire the URL code. Based on the URL code, the network camera 3 is accessed for communication on the Web, and the network camera 3 obtains a subject image through the camera mechanism unit 11 based on the subject orientation data 15C corresponding to the URL code, and the subject image is acquired on the Internet. 4, the subject image may be a still image or a moving image, and the terminal control unit 20 in the network camera 3 may, for example, use JPEG or motion for a still image. For JPEG and moving images, encode to MPEG4 and carry with camera via Internet 4 It is intended to provide image to talk machine 5.

  In the first to fifth embodiments, the camera-equipped mobile phone 5 has been described as an example of the user terminal device. However, the camera terminal has a camera imaging function, a QR code extraction / restoration function, and an Internet communication function. Needless to say, the same effect can be obtained even with a PC and a mobile terminal having such a function.

  According to the network camera of the present invention, a URL code that is an access destination for acquiring a subject image of a subject, and a subject that indicates an imaging posture of an imaging unit for acquiring a desired subject image among the subject images. Posture data is stored in association with each other, and when communication access via the Internet based on the URL code is detected from the user terminal device, subject posture data corresponding to the URL code is read out, and based on the subject posture data, the imaging means Since the imaging posture is driven and controlled, the imaging operation of the imaging unit is started, and a desired subject image captured by the imaging unit is provided and distributed to the user terminal device via the Internet. Simply communicates and accesses the URL code corresponding to the desired subject image in real time. It is possible to get a Utsushitai image, for example pet hotel for the monitoring system, in addition to the pet shop sales system, which is useful in various technical fields such as inventory products monitoring system in the warehouse.

The block diagram which shows schematic structure inside the monitoring system for pet hotels which shows 1st Embodiment in the network camera of this invention Explanatory drawing which shows directly the arrangement | positioning condition of the gauge in the pet hotel in connection with 1st Embodiment The block diagram which shows schematic structure inside the network camera in connection with 1st Embodiment, and a mobile telephone with a camera Explanatory drawing which shows the table content of the preset memory in the network camera in connection with 1st Embodiment briefly Explanatory drawing which shows the relationship between the attitude | position data for code | cord | chords of a network camera and a correction value concerning 1st Embodiment Explanatory drawing which shows the block configuration of the imaging area of the network camera in connection with 1st Embodiment (a) Standard block unit (b) Zoom block unit Explanatory drawing which briefly shows the table contents of the initial table inside the network camera according to the first embodiment. (A) Standard block unit (b) Zoom block unit Explanatory drawing which shows the expansion | deployment operation | movement on a matrix at the time of recognizing QR code from the captured image of the network camera in connection with 1st Embodiment. The flowchart which shows the processing operation in connection with the initial value setting process of the system control part inside the network camera in connection with 1st Embodiment The flowchart which shows the processing operation regarding the preset update process of the system control part inside the network camera in connection with 1st Embodiment The flowchart which shows the processing operation regarding the preset update process of the system control part inside the network camera in connection with 1st Embodiment Operation explanatory diagram briefly showing the imaging operation of the subject side QR code in the preset update processing of the network camera according to the first embodiment The flowchart which shows the processing operation in connection with the object object image acquisition process of the mobile phone with a camera and network camera concerning 1st Embodiment Operation explanatory diagram simply showing an imaging operation of the subject side QR code in the standard mode in the preset update process of the pet hotel monitoring system showing the second embodiment Operation explanatory diagram simply showing the imaging operation of the subject side QR code by the zoom mode in the preset update process of the pet hotel monitoring system showing the second embodiment The flowchart which shows the processing operation of the system control part in connection with the preset update process of the monitoring system for pet hotels which shows 2nd Embodiment The flowchart which shows the processing operation of the system control part in connection with the preset update process of the monitoring system for pet hotels which shows 2nd Embodiment The flowchart which shows the processing operation of the system control part in connection with the preset update process of the monitoring system for pet hotels which shows 3rd Embodiment. The flowchart which shows the processing operation of the system control part in connection with the preset update process of the monitoring system for pet hotels which shows 4th Embodiment Explanatory drawing which shows the relationship between the attitude | position data for code | cord | chords of the network camera of the surveillance system for pet hotels which shows other embodiment, and a correction value The block diagram which shows schematic structure inside the pet shop mail order system which shows 5th Embodiment The block diagram which shows schematic structure inside the monitoring system for pet hotels which shows other embodiment, and a pet shop mail order system

Explanation of symbols

3 Network camera 4 Internet 5 Mobile phone with camera (user terminal device)
5A terminal side camera unit (terminal side imaging means)
5B Terminal-side QR code restoration unit (terminal-side restoration means)
5C terminal side communication unit (terminal side communication means)
11 Camera mechanism (imaging means)
14 QR code restoration unit (two-dimensional code recognition judging means, first two-dimensional code recognition judging means and second two-dimensional code recognition judging means)
15 Preset memory (storage means)
17 Attitude drive unit (drive control means)
19 Internet control unit (communication means)
20 Terminal control unit (image providing means)
25 System controller (control means)
25A Memory control unit (memory update means)
25B correction value calculation unit (correction value calculation means)
25C Search control unit (search means)

Claims (14)

Imaging means for capturing a subject and acquiring a subject image, communication means for communication connection with the Internet, and image providing means for providing and distributing the subject image acquired by the imaging means to a user terminal device via the Internet A network camera,
A URL code that is an access destination for acquiring the subject image of the subject and subject posture data that indicates the imaging posture of the imaging means for acquiring a desired subject image among the subject images are stored in association with each other. Storage means
Search means for searching subject posture data corresponding to the URL code from the storage means upon detecting communication access via the Internet based on the URL code from the user terminal device;
Drive control means for driving and controlling the imaging posture of the imaging means based on the subject posture data searched by the search means;
Control for controlling the image providing means to acquire the desired subject image by the imaging means with the imaging posture driven and controlled by the drive control means, and to provide and distribute the desired subject image to the user terminal device. And a network camera. The user terminal device
Terminal-side imaging means for capturing a terminal-side two-dimensional code image by capturing a terminal-side two-dimensional code obtained by encoding a URL code that is an access destination for acquiring the subject image;
When the terminal-side imaging unit acquires the terminal-side two-dimensional code image, the terminal-side restoration unit acquires the URL code by restoring the terminal-side two-dimensional code image;
And a terminal-side communication unit that accesses the network camera via the Internet based on a URL code acquired by the terminal-side restoration unit and acquires a subject image from the network camera. Item 1. A network camera according to item 1. The subject posture data is:
Code orientation data indicating the imaging orientation of the imaging means for recognizing the subject-side two-dimensional code attached to the subject, and the code indicating the imaging orientation of the imaging means for acquiring the desired subject image The network camera according to claim 1, further comprising a correction value based on the use posture data. The lens focus of the imaging means can be set to a standard mode set to standard or a zoom mode set to zoom up,
With the subject-side two-dimensional code affixed to a predetermined position of the subject, the subject is imaged in the zoom mode by the imaging means to obtain a subject image, and the subject-side two-dimensional of the subject is obtained from the subject image. Two-dimensional code recognition judging means for judging whether or not the code can be recognized;
When it is determined that the subject-side two-dimensional code of the same subject has been recognized by the two-dimensional code recognition determining unit, the posture data of the imaging unit is used as the code posture data, and the code posture data and a predetermined correction value 4. The network camera according to claim 3, further comprising storage update means for storing and updating the information in the storage means in association with the URL code of the subject. The lens focus of the imaging means can be set to a standard mode set to standard or a zoom mode set to zoom up,
A two-dimensional code recognition determining unit configured to acquire a subject image by capturing the subject in the zoom mode with the imaging unit, and to determine whether or not the subject side two-dimensional code of the subject can be recognized from the subject image;
If it is determined by the two-dimensional code recognition determining means that the subject-side two-dimensional code of the subject has been recognized, the posture data of the imaging means is used as the code posture data, and the code posture data is used as the URL of the subject. Storage update means for storing and updating the storage means in association with a code;
Based on the code orientation data stored in the storage means, the imaging orientation of the imaging means is driven and controlled, so that the desired subject image is obtained by capturing the subject in the standard mode. Correction value calculation means for calculating a correction value based on the code posture data for acquiring an image,
The memory update means
4. The network camera according to claim 3, wherein when the correction value is calculated by the correction value calculation means, the correction value is stored and updated in the storage means in association with the code attitude data. The control means includes
The retrieval unit retrieves the code posture data and correction value in the subject posture data corresponding to the URL code from the storage unit, and the drive control unit retrieves the image based on the code posture data and the correction value. 6. The network camera according to claim 3, wherein the imaging posture of the means is driven and controlled, and a desired subject image of the subject is acquired by the imaging means. The lens focus of the imaging means can be set to a standard mode set to standard or a zoom mode set to zoom up,
A first two-dimensional code recognition determining unit that acquires a subject image by capturing the subject in the standard mode by the imaging unit and determines whether or not the subject side two-dimensional code of the subject can be recognized from the subject image. When,
When it is determined by the first two-dimensional code recognition determining means that the subject-side two-dimensional code of the same subject has been recognized, the posture data of the imaging means is used as the code posture data, and the code posture data and a predetermined 4. The network camera according to claim 3, further comprising storage update means for storing and updating the correction value in association with the URL code of the subject. The lens focus of the imaging means can be set to a standard mode set to standard or a zoom mode set to zoom up,
A first two-dimensional code recognition determining unit that acquires a subject image by capturing the subject in the standard mode by the imaging unit and determines whether or not the subject side two-dimensional code of the subject can be recognized from the subject image. When,
When it is determined by the first two-dimensional code recognition determining means that the subject-side two-dimensional code of the subject has been recognized, the posture data of the imaging means is used as the code posture data, and the code posture data is used as the subject. Storage update means for storing and updating the storage means in association with the URL code;
Based on the code orientation data stored in the storage means, driving the imaging orientation of the imaging means to capture the subject while obtaining the desired subject image while maintaining the standard mode, Correction value calculation means for calculating a correction value based on the code posture data for acquiring the desired subject image,
The memory update means
4. The network camera according to claim 3, wherein when the correction value is calculated by the correction value calculation means, the correction value is stored and updated in the storage means in association with the code attitude data. When the first two-dimensional code recognition determining unit determines that the subject-side two-dimensional code of the same subject cannot be recognized, the imaging unit captures the subject in the zoom mode and acquires a subject image. A second two-dimensional code recognition judging means for judging whether or not the subject-side two-dimensional code of the subject can be recognized from the subject image;
The memory update means
If the second two-dimensional code recognition determining unit determines that the subject-side two-dimensional code of the subject has been recognized, the posture data of the imaging unit is used as the code posture data, and the code posture data is used as the subject. 9. The network camera according to claim 7, wherein the storage unit updates the storage unit in association with the URL code. The control means includes
The retrieval unit retrieves the code posture data and correction value in the subject posture data corresponding to the URL code from the storage unit, and the drive control unit retrieves the image based on the code posture data and the correction value. The network camera according to claim 7, wherein the imaging posture of the means is driven and controlled, and a desired subject image of the subject is acquired by the imaging means. The URL code, which is the access destination for acquiring the subject image of the subject, and the subject attitude data indicating the imaging orientation of the imaging means for acquiring the desired subject image out of the subject image are associated with the storage means. Memorizing step;
When detecting communication access via the Internet based on the URL code from the user terminal device, searching for subject posture data corresponding to the URL code from the storage means;
Driving the imaging orientation of the imaging means based on the subject orientation data retrieved from the storage means;
A method for delivering a subject image of a network camera, comprising: obtaining the desired subject image by the imaging means whose drive is controlled in the imaging posture, and providing and delivering the desired subject image to the user terminal device via the Internet. . Capturing a terminal-side two-dimensional code image by imaging a terminal-side two-dimensional code obtained by encoding the URL code in the user terminal device;
Obtaining the URL code by restoring the terminal-side two-dimensional code image in the user terminal device;
12. The subject image distribution method for a network camera according to claim 11, further comprising a step of executing communication access via the Internet based on the URL code when the URL code is acquired by the user terminal device. The step of associating the URL code and the subject attitude data in the storage means
With the subject side two-dimensional code affixed to a predetermined position of the subject, the focus lens of the imaging means is set to a zoom mode, and the subject image is obtained by capturing the subject in this zoom mode. Determining whether or not the subject-side two-dimensional code of the subject can be recognized,
When it is determined that the subject-side two-dimensional code of the subject has been recognized, the orientation data of the imaging means is used as code orientation data, and the code orientation data and a predetermined correction value are used as the subject orientation data as the storage means. 13. The network camera subject image delivery method according to claim 11 or 12, further comprising the step of storing the URL code in association with each other. The step of associating the URL code and the subject attitude data in the storage means
With the subject-side two-dimensional code affixed to a predetermined position of the subject, the focus lens of the imaging unit is set to a standard mode, and the subject is imaged by acquiring the subject image in the standard mode. Determining whether or not the subject-side two-dimensional code of the subject can be recognized,
When it is determined that the subject-side two-dimensional code of the subject has been recognized, the orientation data of the imaging means is used as code orientation data, and the code orientation data and a predetermined correction value are used as the subject orientation data as the storage means. 13. The network camera subject image delivery method according to claim 11 or 12, further comprising the step of storing the URL code in association with each other.

Images