CN204131643U - A kind of image collecting device with face characteristic abstraction function - Google Patents
A kind of image collecting device with face characteristic abstraction function Download PDFInfo
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- CN204131643U CN204131643U CN201420596080.7U CN201420596080U CN204131643U CN 204131643 U CN204131643 U CN 204131643U CN 201420596080 U CN201420596080 U CN 201420596080U CN 204131643 U CN204131643 U CN 204131643U
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Abstract
The utility model relates to a kind of image collecting device with face characteristic abstraction function.Comprise power supply, sensor devices, multinuclear microcontroller, SD card, network controller, described each device blocks is electrically connected.The embedded video signal processing module of described multinuclear microcontroller, face characteristic extraction module, realtime graphic coding module, PJPG compressed encoding module.Sensor devices changes the light signal of perception into the signal of telecommunication and is sent to video signal processing module by system bus, and real-time vision signal is sent to face extraction module and realtime graphic coding module by video signal processing module.Face characteristic extraction module extracts face characteristic from live video stream signal, is sent to MJPG coding module, and the picture the most at last after compression and video flowing are sent to backstage by network output module.Human face analysis process is advanced to front-end camera by the technical program, can alleviate the processing load of back-end server, significantly improves the front end access capability of server.
Description
Technical field
The utility model is applied to safety monitoring industry, particularly a kind of image collecting device with face characteristic abstraction function.
Background technology
In existing protection and monitor field, Facial Feature Extraction Technology, completes usually on back-end server.Human face analysis algorithm integration in the server, front-end camera is only responsible for gathering, transmitting original video stream signal, be left intact, more do not possess feature extraction, analytic function, this device can propose high requirement to server performance, and due to server assumes numerous functions such as image decoding, face extraction, analysis retrieval, resource consumption is too much, more multichannel video analysis cannot be born, be unfavorable for expansion and the large-scale application of system.And due to the restriction of algorithm and server performance, the human face target number detected in real time is less.
Utility model content
Do not have graphics process and face characteristic abstraction function for solving the existing video camera existed in above-mentioned background technology, be unfavorable for the technological deficiency of system large-scale integrated, the utility model provides a kind of image collecting device with face characteristic abstraction function.
The image collecting device with face characteristic abstraction function described in the utility model, comprises power supply, sensor devices, multinuclear microcontroller, network controller, and described each module is electrically connected; The embedded video signal processing module of described multinuclear microcontroller, face characteristic extraction module, realtime graphic coding module, MJPG compressed encoding module; Sensor devices changes the light signal of perception into the signal of telecommunication and is sent to video signal processing module, and real-time vision signal is sent to face extraction module and realtime graphic coding module by video signal processing module; Face characteristic extraction module extracts face characteristic from live video stream signal, be sent to MJPG coding module, realtime graphic coding module is by real time video signals boil down to video flowing, face characteristic is treated to compressed picture by MJPG coding module, and the picture the most at last after compression and video flowing are sent to backstage by network output module.
Preferably, realize the device of video acquisition, transmission, plurality of human faces extraction, retrieval, picture transfer function as master chip with DM368, DM368 possesses dual core processor, 3G dominant frequency.
Preferably, the detection identification of age, men and women, clothes color can be possessed to the face extracted in picture;
Preferably, the face that picture can be gathered extraction is with the storage of the form of low capacity characteristic information and feature image in this locality and real-time uploading;
Preferably, can possess the face extracted in picture mouth mask, sunglasses, straw hat detection identification and classification report to the police;
Preferably, described multinuclear microcontroller is also connected with external memory module, for real-time storage compressed picture and video flowing.
1. technical scheme described in the utility model, at least has the following advantages, but is not limited thereto:
2. the some algorithm in human face analysis process is advanced to front-end camera, the processing load of back-end server can be alleviated, significantly improve the front end access capability of server.
3. can extract simultaneously and searching picture in multiple face characteristics.
4. the face characteristic result of extraction can be sent to backstage with the document form of the little picture of light-type.
4, can possess the face extracted in picture mouth mask, sunglasses, straw hat detection identification and classification report to the police;
5, the detection identification of age, men and women, clothes color can be possessed to the face extracted in picture;
Accompanying drawing explanation
Fig. 1 is technical solutions of the utility model fundamental diagram;
Fig. 2 is technical solutions of the utility model hardware structure diagram.
Embodiment
Be easier to understand to make content of the present utility model, now adopt the mode of specific embodiment by reference to the accompanying drawings, clear, complete description is carried out to the technical solution of the utility model, it should be noted that, embodiment described herein is only section Example of the present utility model, but not whole implementation of the present utility model, described embodiment only has exemplary, instead of limits the exhaustive of technical scheme described in the utility model.Without departing from the concept of the premise utility; all those of ordinary skill in the art do not make creative work just other execution mode thinkable; and other is to the simple replacement of technical solutions of the utility model and various change, all belongs to protection range of the present utility model.
As shown in Figure 2, comprise power supply, sensor devices, multinuclear microcontroller, network controller, described each module is electrically connected; The embedded video signal processing module of described multinuclear microcontroller, face characteristic extraction module, realtime graphic coding module, PJPG compressed encoding module.Described multinuclear microcontroller can select DM368 master chip.Described multinuclear microcontroller is also connected with external memory module, for real-time storage compressed picture and video flowing.
As shown in Figure 1, sensor devices changes the light signal of perception into the signal of telecommunication and is sent to video signal processing module, and real-time vision signal is sent to face extraction module and realtime graphic coding module by video signal processing module; Face characteristic extraction module extracts face characteristic from live video stream signal, be sent to MJPG coding module, realtime graphic coding module is by real time video signals boil down to video flowing, face characteristic is treated to compressed picture by MJPG coding module, and the picture the most at last after compression and video flowing are sent to backstage by network output module.
Claims (3)
1. have an image collecting device for face characteristic abstraction function, comprise power supply, sensor devices, multinuclear microcontroller, network controller, described each device electric connects; Described network controller comprises network output module; The embedded video signal processing module of described multinuclear microcontroller, face characteristic extraction module, realtime graphic coding module, MJPG compressed encoding module; Sensor devices changes the light signal of perception into the signal of telecommunication and is sent to video signal processing module, and real-time vision signal is sent to face extraction module and realtime graphic coding module by video signal processing module; Face characteristic extraction module extracts face characteristic from live video stream signal, be sent to MJPG coding module, realtime graphic coding module is by real time video signals boil down to video flowing, face characteristic is treated to compressed picture by MJPG coding module, and the picture the most at last after compression and video flowing are sent to backstage by network output module.
2. the image collecting device with face characteristic abstraction function according to claim 1, described multinuclear microcontroller is DM368 master chip.
3. the image collecting device with face characteristic abstraction function according to claim 1 and 2, described multinuclear microcontroller also external memory module, for real-time storage compressed picture and video flowing.
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CN201420596080.7U CN204131643U (en) | 2014-10-15 | 2014-10-15 | A kind of image collecting device with face characteristic abstraction function |
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Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108364374A (en) * | 2017-12-28 | 2018-08-03 | 武汉烽火众智数字技术有限责任公司 | Face access control device based on deep learning and method |
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Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108364374A (en) * | 2017-12-28 | 2018-08-03 | 武汉烽火众智数字技术有限责任公司 | Face access control device based on deep learning and method |
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