CN209964171U - Infrared imaging and identification integrated equipment - Google Patents

Infrared imaging and identification integrated equipment Download PDF

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Publication number
CN209964171U
CN209964171U CN201921324191.1U CN201921324191U CN209964171U CN 209964171 U CN209964171 U CN 209964171U CN 201921324191 U CN201921324191 U CN 201921324191U CN 209964171 U CN209964171 U CN 209964171U
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infrared
image
detector
unit
module
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韩杰
周威
郑智瑛
孙鹏
杨浩
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Li Ho Innovation (beijing) Technology Co Ltd
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Li Ho Innovation (beijing) Technology Co Ltd
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Abstract

The utility model relates to an infrared imaging discernment technical field, in particular to infrared imaging equipment. An infrared imaging and identification integrated device, comprising: the system comprises an infrared lens, an infrared detector, a detector interface unit, an image processing unit, a transmission unit and a display unit; the infrared lens and the infrared detector are used for providing an original image, and the image processing unit is used for carrying out format conversion, preprocessing and image enhancement on the original infrared image to obtain an infrared image with obvious detail information; intelligently identifying an interest target in an infrared image with obvious detail information, and marking the interest target after identification; the image processing unit sends the infrared image with obvious detail information and the marked interest target information to the display unit through the transmission unit. The display unit is used for remotely displaying the infrared image and the identification result. The utility model provides a solution of high reliability, high sensitivity, remote monitoring can be applied to all-weather automatic monitoring field.

Description

Infrared imaging and identification integrated equipment
Technical Field
The utility model relates to an infrared imaging discernment technical field, in particular to infrared imaging equipment.
Background
With the development of photoelectric information, microelectronics, network communication, digital video, multimedia technologies and sensing technologies, the security monitoring technology has moved from traditional simulation to highly integrated digitalization, intellectualization and networking. In a dark environment, visible light equipment cannot work normally and is greatly influenced by weather and illumination. The infrared thermal imaging belongs to the infrared thermal radiation of a passive receiving target and can work day and night. The infrared ray has high rain and fog penetrating capability, can identify and monitor various targets such as personnel, vehicles and the like, and can be used for fireproof monitoring and identification of camouflage and hidden targets.
Because the infrared thermal imaging camera is imaged by temperature difference, the temperature difference of a general target is not large, the contrast of the infrared thermal image is low, and the detail resolution capability is poor. Therefore, the edges of the scene presented by the output picture of the thermal imaging are fuzzy, the detail identification is poor, and the target object is difficult to identify.
SUMMERY OF THE UTILITY MODEL
The utility model aims at: aiming at the defects of the prior art, the high-sensitivity infrared imaging integrated equipment is provided.
The technical scheme of the utility model is that: an infrared imaging and identification integrated device, comprising: the system comprises an infrared lens, an infrared detector, a detector interface unit, an image processing unit, a transmission unit and a display unit;
the infrared lens is made of germanium materials, and is coated with an antireflection film on the surface to cover medium-wave infrared waves with the wave band of 3.7 mu m ~ 4.8.8 mu m;
the infrared detector adopts a vanadium oxide infrared detector, and the detector window and the focal plane photosensitive waveband cover a waveband of 3.7 mu m ~ 4.8.8 mu m;
the infrared camera lens is in signal connection with the infrared detector, the infrared detector is in signal connection with the image processing unit through the detector interface unit, and the image processing unit is in signal connection with the display unit through the transmission unit; the transmission unit establishes signal connection with the detector interface unit;
the infrared lens and the infrared detector are used for collecting an original infrared image, the original infrared image is transmitted to the image processing unit through the detector interface unit, and the image processing unit processes the original infrared image to obtain an infrared image with obvious detail information and marks an interest target appearing in the image; the infrared image with obvious detail information and the marked interest target information are sent to the display unit through the transmission unit, and the display unit displays the infrared image with obvious detail information and the interest target.
In the above scheme, specifically, the resolution of the infrared detector is not less than 640 × 512, the pixel size is 15 μm, and the F number is 2.
On the basis of the above scheme, further, the image processing unit includes: the device comprises an AD acquisition module, a FLASH storage module, an image identification module and a communication interface module; the image identification module is in signal connection with the AD acquisition module, the FLASH storage module and the communication interface module respectively;
the AD acquisition module is in signal connection with the detector interface unit, and the communication interface module is in signal connection with the transmission unit.
After the detector interface unit sends an original infrared image, firstly, an AD acquisition module carries out format conversion on the original image, and then, an image recognition module carries out preprocessing and image enhancement on the original infrared image to obtain an infrared image with obvious detail information; intelligently identifying an interest target in an infrared image with obvious detail information, and marking the interest target after identification; the FLASH storage module is used for storing the corrected image obtained after the preprocessing; the communication interface module is used for sending the infrared image with obvious detail information and the marked interest target information to the transmission unit.
Furthermore, for the purpose of remote monitoring, the transmission unit is in signal connection with the display unit through a wireless network.
Furthermore, the display unit is also provided with an input device, and the working parameters of the infrared detector and the algorithm of the image processing unit can be configured through the input device so as to achieve the purpose of man-machine interaction.
The utility model discloses a another technical scheme is: an operating method of the infrared imaging and identification integrated device uses the device and comprises the following steps:
A. the infrared camera collects original infrared images, and the infrared detector transmits the original infrared images to the image processing unit through the detector interface unit;
B. the image processing unit performs format conversion, preprocessing and image enhancement on the original infrared image to obtain an infrared image with obvious detail information; intelligently identifying an interest target in an infrared image with obvious detail information, and marking the interest target after identification;
C. the image processing unit sends the infrared image with obvious detail information and the marked interest target information to the display unit through the transmission unit;
D. and the display unit performs format conversion on the acquired infrared image with obvious detail information and then displays the infrared image, and frames an interest target in the displayed image according to the acquired interest target information.
Further, in the above scheme, step B includes:
B1. the AD acquisition module receives the original infrared image, performs analog-to-digital conversion on the original infrared image and then sends the original infrared image to the image identification module;
B2. the image recognition module preprocesses the original infrared image to obtain a corrected image, and stores the corrected image to the FLASH storage module;
B3. the image identification module calls the corrected image stored in the FLASH storage module, and the corrected image is subjected to enhancement algorithm processing to obtain an infrared image with obvious detail information;
B4. the image recognition module carries out intelligent target recognition on the infrared image with obvious detail information by utilizing an AI algorithm, if an interested target appears in the infrared image with obvious detail information, the interested target is calibrated by a rectangular frame, and the coordinates of four vertexes of the rectangular frame are recorded;
B5. the image recognition module sends the infrared image with obvious detail information and the four-point coordinates of the interest target to the transmission unit by using the communication interface module.
Specifically, in step B2, the method for preprocessing the original infrared image by the image recognition module is non-uniform correction and blind pixel compensation.
Specifically, in step B3, the method for the image recognition module to perform the enhancement algorithm processing on the corrected image is histogram equalization and guided filtering.
Specifically, in step B4, the method for the AI algorithm to identify the target of interest includes: firstly, carrying out size adjustment on an infrared image with obvious detail information; the image with the modified size enters a convolutional neural network, and the pre-training model is used for carrying out feature extraction on the image with the modified size, so that a candidate interest target and a category score corresponding to the candidate interest target are obtained; and screening the candidate interest targets, and selecting the candidate interest targets with the category scores higher than a set threshold value as the interest targets.
The beneficial effects are that the utility model provides an infrared detector adopts the non-refrigeration type detector of vanadium oxide of high sensitivity, and the band coverage is not less than 3.7 mu m ~ 4.8.8 mu m, and image processing unit combines its unique formation of image advantage, handles the infrared image of gathering, obtains the infrared image that detail information is obvious and carries out intelligent recognition to the interest target in the image, and display element carries out remote display to the identification result, automatic mark to the interest target, the utility model provides a high reliable, high sensitivity, remote monitoring's solution can be applied to all-weather automatic monitoring field.
Drawings
Fig. 1 is a block diagram of the embodiment 1 of the present invention;
fig. 2 is a block diagram of embodiment 2 of the present invention;
in the figure: the system comprises an infrared camera 1, an infrared detector 2, a detector 3, an interface unit 4, an image processing unit 4, an AD acquisition module 4.1, a FLASH storage module 4.2, an image recognition module 4.3, a communication interface module 4.4, a transmission unit 5 and a display unit 6.
Detailed Description
Embodiment 1, referring to fig. 1, an infrared imaging and recognition integrated device includes: the system comprises an infrared lens 1, an infrared detector 2, a detector interface unit 3, an image processing unit 4, a transmission unit 5 and a display unit 6;
the infrared lens 1 is made of germanium materials, and is coated with an antireflection film on the surface to cover medium-wave infrared waves with wave bands of 3.7 mu m and ~ 4.8.8 mu m;
the infrared detector 2 adopts a vanadium oxide infrared detector, the detector window and the focal plane photosensitive wave band cover a 3.7 mu m ~ 4.8.8 mu m wave band, in the example, the resolution of the infrared detector 2 is not lower than 640 multiplied by 512, the pixel size is 15 mu m, and the F number (F-number) is 2;
the infrared camera 1 is in signal connection with the infrared detector 2, the infrared detector 2 is in signal connection with the image processing unit 4 through the detector interface unit 3, and the image processing unit 4 is in signal connection with the display unit 6 through the transmission unit 5; the transmission unit 5 establishes a signal connection with the detector interface unit 3.
The infrared lens 1 and the infrared detector 2 are used for collecting original infrared images, the original infrared images are transmitted to the image processing unit 4 through the detector interface unit 3, the image processing unit 4 processes the original infrared images to obtain infrared images with obvious detail information and marks interest targets appearing in the images; the infrared image with obvious detail information and the marked interest target information are sent to the display unit 6 through the transmission unit 5, and the display unit 6 displays the infrared image with obvious detail information and the interest target.
Further, for the purpose of remote monitoring, the transmission unit 5 establishes a signal connection with the display unit 6 through a wireless network.
For human-computer interaction, the display unit 6 may be further provided with an input device, through which the operating parameters of the infrared detector 2, the parameters of the acquired infrared image, and the algorithm of the image processing unit 4 may be configured. When configuration is carried out, the display unit 6 sends configuration information to the transmission unit 5 by utilizing transmission control protocols such as TCP/IP, RS232/485, private protocol and the like, and then the configuration information is respectively transmitted to the image processing unit 4 and the detector interface unit 3 by the transmission unit 5; the detector interface unit 3 further sends the configuration information to the infrared detector 2.
Embodiment 2, referring to fig. 2, on the basis of embodiment 1, further, the image processing unit 4 includes: the device comprises an AD acquisition module 4.1, a FLASH storage module 4.2, an image identification module 4.3 and a communication interface module 4.4; the image identification module 4.3 is respectively in signal connection with the AD acquisition module 4.1, the FLASH storage module 4.2 and the communication interface module 4.4; the image recognition module 4.3 in this example uses an ARM chip.
The AD acquisition module 4.1 is in signal connection with the detector interface unit 3, and the communication interface module 4.4 is in signal connection with the transmission unit 5.
After the detector interface unit 3 sends the original infrared image, firstly, the AD acquisition module 4.1 carries out format conversion on the original image, and then, the image recognition module 4.3 carries out preprocessing and image enhancement on the original infrared image to obtain the infrared image with obvious detail information; intelligently identifying an interest target in an infrared image with obvious detail information, and marking the interest target after identification; the FLASH storage module 4.2 is used for storing the corrected image obtained after the preprocessing; the communication interface module 4.4 is used for sending the infrared image with obvious detail information and the marked interest target information to the transmission unit 5.
Embodiment 3, a method for operating an infrared imaging and recognition integrated device, using the device of embodiment 1 or 2, and comprising the steps of:
A. the infrared camera 1 collects original infrared images, and the infrared detector 2 transmits the original infrared images to the image processing unit 4 through the detector interface unit 3;
B. the image processing unit 4 performs format conversion, preprocessing and image enhancement on the original infrared image to obtain an infrared image with obvious detail information; carrying out intelligent identification on interested targets such as pedestrians, vehicles and the like in the infrared image with obvious detail information, and marking the interested targets after identification;
C. the image processing unit 4 sends the infrared image with obvious detail information and the marked interest target information to the display unit 6 through the transmission unit 5;
D. the display unit 6 performs format conversion on the acquired infrared image with obvious detail information and then displays the infrared image, and frames an interest target in the displayed image according to the acquired interest target information.
Embodiment 4, on the basis of embodiment 3, when the apparatus as described in embodiment 2 is used, step B in embodiment 3 specifically includes the following steps:
B1. the AD acquisition module 4.1 receives the original infrared image, performs analog-to-digital conversion on the original infrared image and then sends the original infrared image to the image identification module 4.3;
B2. the image recognition module 4.3 preprocesses the original infrared image to obtain a corrected image, and stores the corrected image to the FLASH storage module 4.2; in this example, the preprocessing method is non-uniform correction and blind pixel compensation;
B3. the image recognition module 4.3 calls the corrected image stored in the FLASH storage module 4.2, and performs enhancement algorithm processing on the corrected image to obtain an infrared image with obvious detail information; in this example, the method of performing enhancement algorithm processing on the corrected image is histogram equalization and guided filtering;
B4. the image recognition module 4.3 utilizes an AI algorithm to perform intelligent target recognition on the infrared image with obvious detail information, if an interested target appears in the infrared image with obvious detail information, the interested target is calibrated by a rectangular frame, and coordinates of four vertexes of the rectangular frame are recorded; in this example, the AI algorithm uses mainstream algorithm frameworks such as tensrflow, Caffe, and the like, and the method for identifying the interest target is as follows: firstly, carrying out size adjustment on the infrared image with obvious detail information, and adjusting the size of the infrared image with obvious detail information to 416 x 416; the image with the modified size enters a convolutional neural network, and the pre-training model is used for carrying out feature extraction on the image with the modified size, so that a candidate interest target and a category score corresponding to the candidate interest target are obtained; using a non-maximum value to inhibit, cross and compare candidate interest targets for screening, and finally selecting the candidate interest targets with the category scores higher than a set threshold value as interest targets; the set threshold in this example is 0.45;
B5. the image recognition module 4.3 sends the infrared image with obvious detail information and the four-point coordinates of the interest target to the transmission unit 5 by using the communication interface module 4.4.
Although the invention has been described in detail with respect to the general description and the specific embodiments, it will be apparent to those skilled in the art that modifications and improvements can be made based on the invention. Therefore, such modifications and improvements are intended to be within the scope of the invention as claimed.

Claims (5)

1. An infrared imaging and identification integrated device, comprising: infrared camera lens (1), infrared detector (2), detector interface unit (3), image processing unit (4), transmission unit (5) and display element (6), its characterized in that:
the infrared lens (1) is made of germanium materials, an antireflection film is plated on the surface of the infrared lens, and medium-wave infrared waves with wave bands of 3.7 mu m and ~ 4.8.8 mu m are covered;
the infrared detector (2) adopts a vanadium oxide infrared detector, and the detector window and the focal plane photosensitive waveband cover a 3.7-micrometer ~ 4.8.8-micrometer waveband;
the infrared lens (1) is in signal connection with the infrared detector (2), the infrared detector (2) is in signal connection with the image processing unit (4) through the detector interface unit (3), and the image processing unit (4) is in signal connection with the display unit (6) through the transmission unit (5); the transmission unit (5) is in signal connection with the detector interface unit (3).
2. The infrared imaging and recognition integrated device as claimed in claim 1, wherein: the image processing unit (4) comprises: the device comprises an AD acquisition module (4.1), a FLASH storage module (4.2), an image recognition module (4.3) and a communication interface module (4.4); the image identification module (4.3) is respectively in signal connection with the AD acquisition module (4.1), the FLASH storage module (4.2) and the communication interface module (4.4);
AD acquisition module (4.1) with detector interface unit (3) establish signal connection, communication interface module (4.4) with transmission unit (5) establish signal connection.
3. An infrared imaging and recognition integrated device as claimed in claim 1 or 2, wherein: the transmission unit (5) is in signal connection with the display unit (6) through a wireless network.
4. An infrared imaging and recognition integrated device as claimed in claim 1 or 2, wherein: the resolution of the infrared detector (2) is not lower than 640 multiplied by 512, the pixel size is 15 mu m, and the F number is 2.
5. An infrared imaging and recognition integrated device as claimed in claim 1 or 2, wherein: the display unit (6) is further provided with an input device, and the infrared detector (2) and the image processing unit (4) can be configured through the input device.
CN201921324191.1U 2019-08-15 2019-08-15 Infrared imaging and identification integrated equipment Active CN209964171U (en)

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