CN112383701A - Control method and system for image acquisition equipment and hardware controller - Google Patents
Control method and system for image acquisition equipment and hardware controller Download PDFInfo
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- CN112383701A CN112383701A CN202011097971.4A CN202011097971A CN112383701A CN 112383701 A CN112383701 A CN 112383701A CN 202011097971 A CN202011097971 A CN 202011097971A CN 112383701 A CN112383701 A CN 112383701A
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Abstract
The application provides a control method, a system and a hardware controller for an image acquisition device, wherein the method is implemented by the hardware controller, and the method comprises the following steps: receiving, from a computing device, personalized settings for one or more image capture devices; controlling the image capture device based on the personalized settings. According to the control method, the system and the hardware controller for the image acquisition equipment, the control of one or more image acquisition equipment can be realized through hardware, so that the requirements of various application scenes can be met, and the control efficiency is improved.
Description
Technical Field
The present application relates to the field of video processing technologies, and in particular, to a control method and system for an image capture device, and a hardware controller.
Background
At present, application scenes needing multiple cameras exist frequently. For example, in remote teaching, one camera takes a teacher and the other takes a teaching courseware. Such application scenarios involve processing and display problems for multiple video streams. Existing solutions only exist for merging and displaying video using devices such as Closed Circuit Television (CCTV), which is typically implemented on a software basis. The multi-channel video processing and displaying based on the software implementation mode is not only slow, but also cannot realize the control of a plurality of cameras.
Disclosure of Invention
The present application is proposed to solve the above problems. According to an aspect of the present application, there is provided a control method for an image capturing apparatus, the method being implemented by a hardware controller, the method comprising: receiving, from a computing device, personalized settings for one or more image capture devices; controlling the image capture device based on the personalized settings.
In one embodiment of the application, the personalized settings comprise at least one of: setting a switch of the image acquisition equipment; setting primary and secondary relations of at least two image acquisition devices; setting parameters of the image acquisition equipment when acquiring a video stream; and setting the processing of the video stream collected by the image collecting equipment.
In an embodiment of the application, said controlling said image acquisition device comprises any one of: converging video streams acquired by at least two image acquisition devices; merging the video streams acquired by at least two image acquisition devices to obtain a video stream, and shunting the video stream; code stream control is carried out on the image acquisition equipment; performing split-screen display control on video streams acquired by at least two image acquisition devices; switching and displaying the video streams acquired by at least two image acquisition devices; carrying out artificial intelligent processing on the video stream acquired by the image acquisition equipment; and controlling the image acquisition equipment to perform artificial intelligent processing on the video stream acquired by the image acquisition equipment.
In an embodiment of the present application, the performing code stream control on the image capturing device includes: code streams used by all image acquisition devices are evenly distributed; or correspondingly setting the code streams used by the image acquisition equipment according to the primary and secondary relations of the image acquisition equipment.
In one embodiment of the application, the artificial intelligence process comprises any one of: automatic zooming, automatic frame display, face tracking, face beautifying, automatic focusing, automatic image quality adjustment and picture sequence switching.
In one embodiment of the present application, the method further comprises: transmitting the controlled video stream captured by the image capture device or the processed video stream to the computing device or another device for display.
In one embodiment of the present application, the personalized settings are set by a user based on an application on the computing device.
According to another aspect of the present application, there is provided a hardware controller for executing the above-described control method for an image capturing apparatus.
According to yet another aspect of the present application, there is provided a control system for an image capturing device, the system comprising an image capturing device, a hardware controller, and a computing device, wherein: the number of the image acquisition devices is one or more; the computing device is connected to the hardware controller and is used for transmitting personalized settings of the image acquisition device to the hardware controller; the hardware controller is connected to the image capture device for controlling the image capture device based on the personalized settings.
In one embodiment of the application, the personalized settings comprise at least one of: setting a switch of the image acquisition equipment; setting primary and secondary relations of at least two image acquisition devices; setting parameters of the image acquisition equipment when acquiring a video stream; and setting the processing of the video stream collected by the image collecting equipment.
In one embodiment of the application, the control of the image acquisition device by the hardware controller comprises any one of: converging video streams acquired by at least two image acquisition devices; merging the video streams acquired by at least two image acquisition devices to obtain a video stream, and shunting the video stream; code stream control is carried out on the image acquisition equipment; performing split-screen display control on video streams acquired by at least two image acquisition devices; switching and displaying the video streams acquired by at least two image acquisition devices; carrying out artificial intelligent processing on the video stream acquired by the image acquisition equipment; and controlling the image acquisition equipment to perform artificial intelligent processing on the video stream acquired by the image acquisition equipment.
In an embodiment of the present application, the code stream control of the one or more image capturing devices by the hardware controller includes: code streams used by all image acquisition devices are evenly distributed; or correspondingly setting the code streams used by the image acquisition equipment according to the primary and secondary relations of the image acquisition equipment.
In one embodiment of the application, the artificial intelligence process comprises any one of: automatic zooming, automatic frame display, face tracking, face beautifying, automatic focusing, automatic image quality adjustment and picture sequence switching.
In one embodiment of the present application, an application is included on the computing device, based on which the user sets the personalized settings.
In one embodiment of the present application, the hardware controller is further configured to transmit the controlled video stream captured by the image capture device or the processed video stream to the computing device or to another device for display.
According to yet another aspect of the application, a computing device is provided, the computing device comprising a memory and a processor, the memory having stored thereon a computer program for execution by the processor, the computer program, when executed by the processor, performing the above method.
According to the control method, the system and the hardware controller for the image acquisition equipment, the control of one or more image acquisition equipment can be realized through hardware, so that the requirements of various application scenes can be met, and the control efficiency is improved.
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The above and other objects, features and advantages of the present application will become more apparent by describing in more detail embodiments of the present application with reference to the attached drawings. The accompanying drawings are included to provide a further understanding of the embodiments of the application and are incorporated in and constitute a part of this specification, illustrate embodiments of the application and together with the description serve to explain the principles of the application. In the drawings, like reference numbers generally represent like parts or steps.
Fig. 1 shows a schematic flow chart of a control method for an image acquisition apparatus according to an embodiment of the present application.
Fig. 2 shows a schematic flow diagram of a control system for an image acquisition device according to an embodiment of the application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, exemplary embodiments according to the present application will be described in detail below with reference to the accompanying drawings. It should be understood that the described embodiments are only some embodiments of the present application and not all embodiments of the present application, and that the present application is not limited by the example embodiments described herein. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the application described in the application without inventive step, shall fall within the scope of protection of the application.
First, a control method for an image capturing apparatus according to an embodiment of the present application is described with reference to fig. 1. Fig. 1 shows a schematic flow chart of a control method 100 for an image acquisition apparatus according to an embodiment of the application. As shown in fig. 1, a control method 100 for an image capturing apparatus according to an embodiment of the present application is implemented by a hardware controller, and the method 100 may include the following steps:
at step S110, personalized settings for one or more image capture devices are received by a hardware controller from a computing device.
In embodiments of the application, the hardware controller is a hardware device that can control one or more image acquisition devices, such as a camera. In embodiments of the present application, a user may personalize one or more image capture devices on a computing device, for example, based on an Application (APP) installed on the computing device, and then the personalization settings are transferred by the computing device to a hardware controller connected to the computing device. The hardware controller may store the personalized settings after receiving the personalized settings and control one or more image capture devices connected thereto based on the personalized settings.
In an embodiment of the application, the personalized settings for the image capturing device may comprise at least one of: setting a switch of the image acquisition equipment; setting primary and secondary relations of at least two image acquisition devices; setting parameters of image acquisition equipment during video stream acquisition; and setting the processing of the video stream collected by the image collecting equipment. The setting of the on/off of the image acquisition device means that in the application scene, which image acquisition device or image acquisition devices are used for image acquisition (including picture acquisition and/or video acquisition) is set in the image acquisition device connected with the hardware controller. The setting of the primary and secondary relationship of the at least two image acquisition devices means that in the application scene, in the image acquisition devices connected with the hardware controller, which image acquisition device or image acquisition devices are set as the main image acquisition device and which image acquisition device or image acquisition devices are set as the secondary image acquisition devices; further, if the number of the primary image capturing apparatuses and/or the secondary image capturing apparatuses is more than one, respectively, the primary-secondary relationship or the priority level may be further set. The setting of the primary and secondary relationship of the image capturing device will affect the difference of the respective control of the primary and secondary image capturing devices by the subsequent hardware controller, which will be described later. The parameter setting of the image capturing device when capturing the video stream and the processing setting of the video stream captured by the image capturing device may be used to control the process of capturing the video stream by the image capturing device and the processing of the video stream obtained after the capturing, respectively, which will be described later below.
In step S120, the image capturing device is controlled by a hardware controller based on the personalized settings.
In embodiments of the application, the hardware controller may control the one or more image capture devices based on user personalized settings for the one or more image capture devices received from the computing device. The control may include controlling one or more image capturing devices to turn on and off, controlling primary and secondary image capturing devices to capture and/or transmit video streams, controlling processing and/or display of the video streams captured by the primary and secondary image capturing devices, and so on.
In one embodiment of the application, the control of the one or more image acquisition devices by the hardware controller may comprise at least one of: converging video streams acquired by at least two image acquisition devices; merging video streams acquired by at least two image acquisition devices to obtain video streams, and shunting the video streams; code stream control is carried out on the image acquisition equipment; performing split-screen display control on video streams acquired by at least two image acquisition devices; switching and displaying the video streams acquired by at least two image acquisition devices; carrying out artificial intelligent processing on the video stream acquired by the image acquisition equipment; and controlling the image acquisition equipment to perform artificial intelligent processing on the video stream acquired by the image acquisition equipment.
The merging of the video streams acquired by at least two image acquisition devices means that multiple paths of videos acquired by different image acquisition devices are merged into one path of video. In an embodiment of the application, the image capture device may transmit a video stream in a predetermined format (such as MJPEG/YUV/H264./H265. format) to the hardware controller according to a transmission protocol agreed with the hardware controller, and perform video splicing by the hardware controller, and then perform scaling for picture splicing. In addition, before transmitting the video stream, the video can be compressed and then transmitted, so as to reduce the data transmission quantity and improve the transmission efficiency. For video confluence, splitting a video stream obtained by merging video streams acquired by at least two image acquisition devices refers to splitting one video stream obtained by merging into N video streams, where N is a natural number and is less than or equal to the number of image acquisition devices corresponding to the merged multiple video streams.
In an embodiment of the present application, the code stream control on the image capturing device may include: code streams used by all image acquisition devices are evenly distributed; or correspondingly setting code streams used by the image acquisition equipment according to the primary and secondary relations of the image acquisition equipment. For example, the code stream used by the main image acquisition device is set higher than that of the secondary image acquisition device, so as to ensure higher definition of the video stream acquired by the main image acquisition device and also ensure certain definition of the secondary image acquisition device and no frame drop. Of course, the code stream distribution conditions of the plurality of image capturing devices may also be directly set in the aforementioned personalized settings. In the embodiment of the present application, the automatic bandwidth allocation according to the network environment can be realized by an Auto Variable Rate (AVBR) technology or any other suitable technology, so as to achieve the purpose of automatically adjusting the code stream to obtain a clear video picture effect, and better solve the complex environment of the network.
In an embodiment of the present application, the split-screen display controlling the video streams captured by the at least two image capturing devices may include: the video streams captured by the at least two image capturing devices are displayed on the same display screen, such as by one-split screen, two-split screen, four-split screen, and so on. In the embodiment of the application, the display position and/or the display area size of the video stream acquired by each image acquisition device on the same display screen can be determined according to the primary and secondary relationship of each image acquisition device. For example, the display position of the video stream acquired by the main image acquisition equipment is relatively centered, and the display area is relatively large; the display position of the video stream acquired by the secondary image acquisition equipment is compared with the edge, and the display area is smaller. In other embodiments, the display position and/or the display area size of the video streams captured by the image capturing devices on the same display screen may be determined according to other conditions or randomly determined. In addition, the display positions of the video streams acquired by the image acquisition devices on the same display screen can be changed at will, for example, one-key switching is performed through keys provided on a hardware controller.
In an embodiment of the present application, the switching display control of the video streams captured by the at least two image capturing devices may include: and displaying the video streams acquired by at least two image acquisition devices on the same display screen in turn. For example, currently, a video stream acquired by one image acquisition device is displayed on a display screen, and the display on the display screen can be switched to a video stream acquired by another image acquisition device according to the user requirement; after that, the display on the display screen can be switched back to the video stream acquired by the previous image acquisition device or switched to the video stream acquired by the third image acquisition device according to the user requirement. In the embodiment of the present application, the above switching may be performed by one-key switching through a key provided on the hardware controller.
In an embodiment of the present application, performing artificial intelligence processing on a video stream acquired by an image acquisition device may include: and receiving the video stream transmitted from the image acquisition equipment by the hardware controller, and carrying out artificial intelligence processing on the video stream acquired by the image acquisition equipment on the hardware controller with an artificial intelligence processing function. In this embodiment, the artificial intelligence processing function is provided on the hardware controller. In another embodiment of the application, the hardware controller controls the image acquisition device to perform artificial intelligence processing function on the video stream acquired by the image acquisition device. In this embodiment, the artificial intelligence processing function is provided on the image capturing apparatus. In yet another embodiment, the hardware controller and the image acquisition device can be provided with artificial intelligence processing functions at the same time. In this embodiment, artificial intelligence processing of the video stream on the image acquisition device or on the hardware controller may be selected as desired.
In embodiments of the application, the artificial intelligence process may include any of the following: auto-zoom (Auto-zoom), Auto-frame (Auto-frame), face tracking, face beautification, Auto-focus (Auto-focus), Auto-adjust image quality, and picture order switching.
In an embodiment of the present application, the control method 100 for an image capturing apparatus according to an embodiment of the present application may further include (not shown): transmitting the video stream captured by the controlled image capture device or the processed video stream to the computing device or another device for display. In this embodiment, the video stream captured by the image capturing device may be displayed on a computing device that personalizes one or more image capturing devices, or the video stream captured by the image capturing device may be displayed on another device. For example, one or more image capturing devices are personalized through a desktop computer, and finally, after the control of the image capturing devices and the processing of video streams captured by the image capturing devices are performed through a hardware controller, the video streams captured by the image capturing devices are displayed on the mobile terminal.
The control method for the image capturing apparatus according to the embodiment of the present application is exemplarily described above. Based on the above description, the control method for image capturing devices according to the embodiments of the present application may implement control of one or more image capturing devices through hardware, so that the requirements of various application scenarios can be satisfied, and the control efficiency is improved.
According to another aspect of the present application, there is also provided a hardware controller, which may be used to execute the control method for an image capturing apparatus according to the foregoing embodiments of the present application. The hardware controller is a hardware structure, and those skilled in the art can understand the operations of the hardware controller according to the embodiments of the present application according to the foregoing descriptions, and for brevity, details are not described here again.
According to another aspect of the present application, there is also provided a control system for an image capturing apparatus. A control system 200 for an image capturing device according to an embodiment of the present application is described below with reference to fig. 2. As shown in fig. 2, the control system 200 for an image capturing apparatus according to an embodiment of the present application may include an image capturing apparatus 210, a hardware controller 220, and a computing apparatus 230, wherein the number of the image capturing apparatuses 210 may be one or more, and in fig. 2, the number of the image capturing apparatuses 210 is exemplarily shown as four, i.e., image capturing apparatuses 210(1), 210(2), 210(3), and 210(4), it is understood that this is merely exemplary, and the control system 200 for an image capturing apparatus according to an embodiment of the present application may include any number of image capturing apparatuses. Computing device 230 is connected to hardware controller 220 for communicating personalized settings for image capture device 210 to hardware controller 220. The hardware controller 220 is connected to the image capturing device 210 for controlling the image capturing device 210 based on the personalized settings.
In an embodiment of the present application, hardware controller 220 is a hardware device that may control one or more image capture devices 210. In embodiments of the present application, a user may personalize one or more image capture devices on the computing device 230, for example, based on an application installed on the computing device 230, completing the personalization of one or more image capture devices 210, which may then be transferred by the computing device 230 to a hardware controller 220 connected to the computing device 230. Hardware controller 220, upon receiving the personalized settings, may store the personalized settings and control one or more image capture devices 210 connected thereto based on the personalized settings. In one example, the connection between hardware controller 220 and computing device 230 is a wired connection, and the connection between hardware controller 220 and image capture device 210 is a wireless connection.
In an embodiment of the present application, the personalized settings for the image capturing device 210 may comprise at least one of: switch settings for image capture device 210; setting primary and secondary relationships for at least two image capturing devices 210; setting parameters of the image acquisition device 210 when acquiring the video stream; processing settings for the video stream captured by image capture device 210. The setting of the switch of the image capturing device 210 means that, in the application scenario, which image capturing device 210 or image capturing devices 210 are used to capture images (including image capturing and/or video capturing) is set in the image capturing device 210 connected to the hardware controller 220. The setting of the primary-secondary relationship of the at least two image capturing devices 210 means that in the application scene, which image capturing device or devices 210 are set as the main image capturing device and which image capturing device or devices 210 are set as the secondary image capturing devices in the image capturing devices 210 connected to the hardware controller 220; further, if the number of the primary image capturing apparatuses and/or the secondary image capturing apparatuses is more than one, respectively, the primary-secondary relationship or the priority level may be further set. The setting of the primary and secondary relationship of image capture device 210 will affect the difference in the respective control of the primary and secondary image capture devices by subsequent hardware controller 220. The parameter settings of the image capturing device 210 when capturing the video stream and the processing settings of the video stream captured by the image capturing device 210 may be used to control the process of capturing the video stream by the image capturing device 210 and the processing of the captured video stream, respectively.
In embodiments of the present application, hardware controller 220 may control one or more image capture devices 210 based on user personalized settings for the one or more image capture devices 210 received from computing device 230. The control may include controlling one or more of the image capturing devices 210 to turn on and off, controlling the primary and secondary image capturing devices to capture and/or transmit video streams, controlling the processing and/or display of the video streams captured by the primary and secondary image capturing devices, and so on.
In one embodiment of the present application, the control of the one or more image acquisition devices 210 by the hardware controller 220 may include at least one of: merging the video streams collected by the at least two image collection devices 210; splitting a video stream obtained by merging video streams acquired by at least two image acquisition devices 210; performing code stream control on the image acquisition device 210; performing split-screen display control on the video streams acquired by the at least two image acquisition devices 210; performing switching display control on the video streams acquired by the at least two image acquisition devices 210; performing artificial intelligence processing on the video stream acquired by the image acquisition device 210; and controlling the image acquisition equipment 210 to perform artificial intelligence processing on the video stream acquired by the image acquisition equipment.
The merging of the video streams collected by the at least two image collection devices 210 by the hardware controller 220 means that multiple paths of videos collected by different image collection devices 210 are merged into one path of video. In an embodiment of the present application, the image capturing device 210 may transmit a video stream in a predetermined format (such as MJPEG/YUV/H264./H265. format) to the hardware controller according to a transmission protocol agreed with the hardware controller, and perform picture stitching after performing video stitching by the hardware controller. In addition, before transmitting the video stream, the video can be compressed and then transmitted, so as to reduce the data transmission quantity and improve the transmission efficiency. For video merging, splitting a video stream obtained by merging video streams acquired by at least two image acquisition devices 210 refers to splitting one video stream obtained by merging into N video streams, where N is a natural number and is less than or equal to the number of image acquisition devices 210 corresponding to the merged multiple video streams.
In an embodiment of the present application, the code stream control of the image capturing device 210 by the hardware controller 220 may include: code streams used by all image acquisition devices are evenly distributed; or correspondingly setting code streams used by the image acquisition equipment according to the primary and secondary relations of the image acquisition equipment. For example, the code stream used by the main image acquisition device is set higher than that of the secondary image acquisition device, so as to ensure higher definition of the video stream acquired by the main image acquisition device and also ensure certain definition of the secondary image acquisition device and no frame drop. Of course, the code stream distribution conditions of the plurality of image capturing devices may also be directly set in the aforementioned personalized settings. In the embodiment of the application, the automatic bandwidth allocation according to the network environment can be realized by an automatic variable speed technology or any other suitable technology, so that the effect of automatically adjusting the code stream to obtain a clear video image is achieved, and the complex environment of the network is better solved.
In an embodiment of the present application, the performing, by the hardware controller 220, split-screen display control on the video streams captured by the at least two image capturing devices 210 may include: the video streams captured by at least two image capture devices 210 are displayed on the same display screen, such as by one-split screen, two-split screen, four-split screen, and so on. In the embodiment of the present application, the display position and/or the display area size of the video stream acquired by each image acquisition device 210 on the same display screen may be determined according to the primary and secondary relationship of each image acquisition device. For example, the display position of the video stream acquired by the main image acquisition equipment is relatively centered, and the display area is relatively large; the display position of the video stream acquired by the secondary image acquisition equipment is compared with the edge, and the display area is smaller. In other embodiments, the display position and/or the display area size of the video streams captured by the image capturing devices 210 on the same display screen may be determined according to other conditions or randomly determined. In addition, the display position of the video streams captured by the image capturing devices 210 on the same display screen can be changed at will, for example, by performing one-key switching through a key provided on the hardware controller 220.
In an embodiment of the present application, the switching display control of the video streams captured by the at least two image capturing devices 210 by the hardware controller 220 may include: the video streams captured by at least two image capturing devices 210 are displayed on the same display screen by turns. For example, currently displayed on the display screen is a video stream captured by the image capturing device 210(1), and the display on the display screen can be switched to the video stream captured by the image capturing device 210(2) according to the user requirement; after that, the display on the display screen may be switched back to the video stream captured by the image capturing device 210(1) or switched to the video stream captured by the image capturing device 210(3) according to the user's requirement. In the embodiment of the present application, the above switching may be performed by one-key switching through a key provided on the hardware controller 220.
In an embodiment of the present application, the artificial intelligence processing performed by the hardware controller 220 on the video stream captured by the image capturing device may include: the video stream transmitted from the image capturing apparatus 210 is received by the hardware controller 220, and the video stream captured by the image capturing apparatus 210 is subjected to artificial intelligence processing on the hardware controller 220 having an artificial intelligence processing function. In this embodiment, the artificial intelligence processing function is provided on the hardware controller 220. In another embodiment of the present application, the image capturing device 210 is controlled by the hardware controller 220 to perform artificial intelligence processing functions on the self-captured video stream. In this embodiment, the artificial intelligence processing function is provided on the image capturing apparatus 210. In yet another embodiment, the hardware controller 220 and the image capturing device 210 may be provided with artificial intelligence processing functionality. In this embodiment, artificial intelligence processing of the video stream may be selected on the image acquisition device 210 or on the hardware controller 220 as desired.
In embodiments of the application, the artificial intelligence process may include any of the following: automatic zooming, automatic frame display, face tracking, face beautifying, automatic focusing, automatic image quality adjustment and picture sequence switching.
In an embodiment of the present application, the hardware controller 220 is further configured to transmit the video stream captured by the controlled image capture device or the processed video stream to the computing device 230 or another device 240 for display. In this embodiment, the video stream captured by the image capture device may be displayed on a computing device 230 that personalizes one or more of the image capture devices 210, or may be displayed on another device 240. In one embodiment, computing device 230 is a desktop computer and device 240 is a mobile terminal. In one example, the connection of device 240 to hardware controller 220 is a wireless connection. It should be understood that this is merely exemplary and that one or more image capture devices may also be personalized on the mobile terminal and the video stream captured by the image capture device displayed on the desktop computer.
The above exemplarily describes the control system for the image capturing apparatus according to the embodiment of the present application. Based on the above description, the control system for image capturing apparatuses according to the embodiment of the present application may implement control of one or more image capturing apparatuses through hardware, so that the requirements of various application scenarios can be satisfied, and the control efficiency is improved.
Several application scenarios of the control method and system for an image acquisition device according to embodiments of the present application are described below.
In one application scenario, a user is performing remote teaching, and one image acquisition device is required to shoot a teacher and another image acquisition device to shoot teaching related contents, such as the process and the result of calculation. In the application scenario, based on the control method and system for the image acquisition devices according to the embodiments of the present application, personalized settings can be performed on the two image acquisition devices on a computing device (such as a computer or a mobile phone), the hardware controller preferentially merges the dual videos acquired by the two image acquisition devices according to the personalized settings, and then performs picture switching back and forth according to the needs of the current scenario, or performs split-screen display according to the primary and secondary relationships between the two image acquisition devices, and the like.
In another application scenario, a user is performing remote teaching, wherein initially one person is teaching, and subsequently one more person is participating in teaching. In the application scene, an artificial intelligence processing function (such as an Auto-learning function) can be started through a hardware controller, and all people can be guaranteed to be displayed in the video.
In yet another application scenario, a user is performing a remote instruction, a first computing device (e.g., a computer) is used for display, and a second computing device (e.g., a cell phone) is desired to perform control of an image capture device. In the application scene, the second computing device carries out personalized setting on the image acquisition device, the hardware controller controls the image acquisition device based on the personalized setting, and finally the video stream acquired by the image acquisition device is displayed on the first computing device.
Based on the above description, the control method, system and hardware controller for image capturing devices according to the embodiments of the present application may implement control of one or more image capturing devices through hardware, so that the requirements of various application scenarios can be met and the control efficiency is improved.
Although the example embodiments have been described herein with reference to the accompanying drawings, it is to be understood that the above-described example embodiments are merely illustrative and are not intended to limit the scope of the present application thereto. Various changes and modifications may be effected therein by one of ordinary skill in the pertinent art without departing from the scope or spirit of the present application. All such changes and modifications are intended to be included within the scope of the present application as claimed in the appended claims.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described device embodiments are merely illustrative, and for example, the division of the units is only one logical functional division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another device, or some features may be omitted, or not executed.
In the description provided herein, numerous specific details are set forth. However, it is understood that embodiments of the application may be practiced without these specific details. In some instances, well-known methods, structures and techniques have not been shown in detail in order not to obscure an understanding of this description.
Similarly, it should be appreciated that in the description of exemplary embodiments of the present application, various features of the present application are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the application and aiding in the understanding of one or more of the various inventive aspects. However, the method of the present application should not be construed to reflect the intent: this application is intended to cover such departures from the present disclosure as come within known or customary practice in the art to which this invention pertains. Rather, as the following claims reflect, inventive aspects lie in less than all features of a single disclosed embodiment. Thus, the claims following the detailed description are hereby expressly incorporated into this detailed description, with each claim standing on its own as a separate embodiment of this application.
It will be understood by those skilled in the art that all of the features disclosed in this specification (including any accompanying claims, abstract and drawings), and all of the processes or elements of any method or apparatus so disclosed, may be combined in any combination, except combinations where such features are mutually exclusive. Each feature disclosed in this specification (including any accompanying claims, abstract and drawings) may be replaced by alternative features serving the same, equivalent or similar purpose, unless expressly stated otherwise.
Furthermore, those skilled in the art will appreciate that while some embodiments described herein include some features included in other embodiments, rather than other features, combinations of features of different embodiments are meant to be within the scope of the application and form different embodiments. For example, in the claims, any of the claimed embodiments may be used in any combination.
The various component embodiments of the present application may be implemented in hardware, or in software modules running on one or more processors, or in a combination thereof. Those skilled in the art will appreciate that a microprocessor or Digital Signal Processor (DSP) may be used in practice to implement some or all of the functionality of some of the modules according to embodiments of the present application. The present application may also be embodied as apparatus programs (e.g., computer programs and computer program products) for performing a portion or all of the methods described herein. Such programs implementing the present application may be stored on a computer readable medium or may be in the form of one or more signals. Such a signal may be downloaded from an internet website or provided on a carrier signal or in any other form.
It should be noted that the above-mentioned embodiments illustrate rather than limit the application, and that those skilled in the art will be able to design alternative embodiments without departing from the scope of the appended claims. In the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The word "comprising" does not exclude the presence of elements or steps not listed in a claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The application may be implemented by means of hardware comprising several distinct elements, and by means of a suitably programmed computer. In the unit claims enumerating several means, several of these means may be embodied by one and the same item of hardware. The usage of the words first, second and third, etcetera do not indicate any ordering. These words may be interpreted as names.
The above description is only for the specific embodiments of the present application or the description thereof, and the protection scope of the present application is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope disclosed in the present application, and shall be covered by the protection scope of the present application. The protection scope of the present application shall be subject to the protection scope of the claims.
Claims (10)
1. A control method for an image acquisition device, the method being implemented by a hardware controller, the method comprising:
receiving, from a computing device, personalized settings for one or more image capture devices;
controlling the image capture device based on the personalized settings.
2. The method of claim 1, wherein the personalized settings comprise at least one of:
setting a switch of the image acquisition equipment;
setting primary and secondary relations of at least two image acquisition devices;
setting parameters of the image acquisition equipment when acquiring a video stream;
and setting the processing of the video stream collected by the image collecting equipment.
3. The method of claim 2, wherein the controlling the image acquisition device comprises any one of:
converging video streams acquired by at least two image acquisition devices;
merging the video streams acquired by at least two image acquisition devices to obtain a video stream, and shunting the video stream;
code stream control is carried out on the image acquisition equipment;
performing split-screen display control on video streams acquired by at least two image acquisition devices;
switching and displaying the video streams acquired by at least two image acquisition devices;
carrying out artificial intelligent processing on the video stream acquired by the image acquisition equipment;
and controlling the image acquisition equipment to perform artificial intelligent processing on the video stream acquired by the image acquisition equipment.
4. The method according to claim 3, wherein the code-stream controlling the image capturing device comprises:
code streams used by all image acquisition devices are evenly distributed; or
And correspondingly setting code streams used by the image acquisition equipment according to the primary and secondary relations of the image acquisition equipment.
5. The method of claim 3, wherein the artificial intelligence process comprises any of: automatic zooming, automatic frame display, face tracking, face beautifying, automatic focusing, automatic image quality adjustment and picture sequence switching.
6. The method of claim 1, further comprising:
transmitting the controlled video stream captured by the image capture device or the processed video stream to the computing device or another device for display.
7. The method of claim 1, wherein the personalized settings are set by a user based on an application on the computing device.
8. A hardware controller for executing the control method for an image capturing apparatus according to any one of claims 1 to 7.
9. A control system for an image capture device, the system comprising an image capture device, a hardware controller, and a computing device, wherein:
the number of the image acquisition devices is one or more;
the computing device is connected to the hardware controller and is used for transmitting personalized settings of the image acquisition device to the hardware controller;
the hardware controller is connected to the image capture device for controlling the image capture device based on the personalized settings.
10. The system of claim 9, comprising an application on the computing device based on which the user sets the personalized settings.
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| CN202011097971.4A CN112383701A (en) | 2020-10-14 | 2020-10-14 | Control method and system for image acquisition equipment and hardware controller |
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| CN202011097971.4A CN112383701A (en) | 2020-10-14 | 2020-10-14 | Control method and system for image acquisition equipment and hardware controller |
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