CN212569802U - Embedded device for protecting portrait biological feature privacy - Google Patents
Embedded device for protecting portrait biological feature privacy Download PDFInfo
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- CN212569802U CN212569802U CN202020772445.2U CN202020772445U CN212569802U CN 212569802 U CN212569802 U CN 212569802U CN 202020772445 U CN202020772445 U CN 202020772445U CN 212569802 U CN212569802 U CN 212569802U
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Abstract
The utility model discloses an embedded device for protecting the privacy of the biological characteristics of the portrait, which comprises a camera, an image processor and a cloud server, wherein the camera acquires the portrait image, the camera is connected with the image processor through a video monitoring connecting wire, and the image processor is an image processing embedded module and carries out the portrait encryption processing; the image processor is connected with the cloud server through a network cable, and the cloud server is an industrial computer and is used for video decryption and portrait identification and analysis. The utility model discloses well image biological feature privacy protection's technical scheme can improve video monitoring's security, is connected image processor and current camera, and relative ratio prior art scheme can realize the encryption to the front end portrait, avoids because the individual privacy that the portrait video monitoring leads to reveals etc.. Meanwhile, the device can utilize the existing camera, and personal privacy protection is realized under the condition that the existing camera is not required to be upgraded and modified.
Description
Technical Field
The utility model relates to a portrait recognition technology field, concretely relates to embedded device of portrait biological characteristic privacy protection.
Background
Biometric identification is finding increasingly widespread use in the field of identity authentication by virtue of its security and convenience. The identity recognition based on the biological characteristics can solve the problems of insecurity, inconvenience and the like of the traditional identity recognition. Among the biometrics such as fingerprints, portraits, palmprints, irises, retinas, voices, gait, portraits are one of the most widespread biometrics for identification due to their high versatility, uniqueness, permanence, availability, acceptability. In recent years, human image recognition has been carried out with remarkable results, and both the recognition rate and the recognition speed have been greatly improved.
The rise of new generation artificial intelligence brings surprise and higher productivity to human beings, and also causes some worry about how artificial intelligence challenges human safety or social ethical moral. The problem that serious data leakage occurs in the internet huge head to cause user privacy leakage is solved, the alarm clock is sounded for data management and use of enterprises, and importance is attached to data privacy protection. In China, artificial intelligence has penetrated aspects of daily life and work, and is a participant in both individuals and enterprises, so that people are worth paying attention to and obtaining a better solution for a series of safety and privacy protection problems brought by AI application. In recent years, the development of embedded technology has been advanced rapidly, and various embedded products play an important role in industrial control, national defense security and digital communication. The development trend of embedded processors is more and more obvious, the performance of embedded processors is higher and lower, the cost is lower and higher, and the application development and deployment are faster and faster.
Cases of personal privacy are abundant, and these actions cause a great deal of anger, litigation, and counseling. In fact, the value created by portrait recognition technology is enormous, and if it is directly disabled because of personal privacy concerns, it is only a short-view or short-term behavior. The user can enjoy the 'bonus' brought by artificial intelligence and face the dilemma that the privacy is illegally used. The use of face recognition technology needs to be balanced, and only the enterprises of the standard face recognition technology and the mechanisms using the technology are not enough, so that the challenge of how to deal with the personal privacy protection becomes more serious, and the rise of the technology brings about subversive changes to various industries.
SUMMERY OF THE UTILITY MODEL
The utility model aims at solving the above-mentioned defect among the prior art, provide an embedded device of portrait biological characteristic privacy protection, this embedded device can improve the privacy protection of portrait biological characteristic, avoids individual privacy to receive illegal utilization scheduling problem, can also utilize current camera simultaneously, avoids the wasting of resources.
The purpose of the utility model can be achieved by adopting the following technical scheme:
the utility model provides an embedded device of portrait biological characteristic privacy protection, is connected image processor with current camera, and the encryption of front end portrait can be realized to the prior art scheme of relative ratio, avoids because the individual privacy that portrait video monitoring leads to reveals etc.. Meanwhile, the device can utilize the existing camera, and personal privacy protection is realized under the condition that the existing camera is not required to be upgraded and modified.
An embedded device for protecting the privacy of the human image biological characteristics comprises a camera, an image processor and a cloud server, wherein the camera is used for collecting human image images, the camera is connected with the image processor through a signal connecting line, and the image processor is an image processing embedded module and is used for carrying out human image encryption processing; the image processor is connected with a cloud server through a signal connecting line, and the cloud server is an industrial computer and is used for video decryption and portrait identification and analysis. The utility model discloses a technical scheme of portrait biological characteristic privacy protection improves video monitoring's security, avoids because the individual privacy that portrait video monitoring leads to reveals the scheduling problem.
Further, the camera transmits video to the image processor through the USB interface and the video signal connecting line.
Further, the image processor is connected with the cloud server through a network cable.
Further, the cloud server is an industrial computer and is used for video decryption, portrait identification and analysis and result display. The image encryption and decryption method utilizes the existing pixel block scrambling method, and blocks and scrambles the feature matrix by obtaining the portrait feature matrix to realize the encryption effect; face recognition utilizes a face recognition algorithm trained with neural networks.
Further, the video camera adopts an MU3V130M, 130 ten thousand pixel 150 frame high speed industrial camera.
Further, the image processor adopts an OpenMV34 Cam M7 intelligent camera image processing embedded module.
Further, the camera is fixed in front of the acquired portrait through a bracket.
The utility model discloses for prior art have following advantage and effect:
the utility model discloses an embedded encryption device can utilize current camera, need not to upgrade to having the camera under the transformation condition, can improve portrait biological characteristic's privacy protection, avoids individual privacy to receive illegal utilization scheduling problem.
Drawings
Fig. 1 is a schematic structural diagram of an embedded device for protecting privacy of a biometric feature of a portrait disclosed in an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. Based on the embodiments in the present invention, all other embodiments obtained by a person skilled in the art without creative work belong to the protection scope of the present invention.
Examples
As shown in fig. 1, fig. 1 is a general structure of an embedded device for protecting human biometric privacy, comprising: the system comprises a mounting bracket 4, a camera 2, an image processor 1, a cloud server 3 and acquisition objects 5 and 6.
The mounting bracket 4 is used for fixing the camera 2 and is placed right in front of the portrait, the objects collected by the camera 2 are pedestrians 5 and 6 on the ground, the pedestrians 5 and 6 are monitoring objects of the device, and the content comprises portrait feature extraction, analysis and encryption.
The video camera 2 adopts an MU3V130M, 130 ten thousand pixels 150 frame high-speed industrial camera for collecting portrait images and then transmitting videos to an image processor; the image processor is connected with the camera through a video monitoring connecting line.
In the embodiment, the camera 2 transmits video to the image processor 1 through the USB interface; the image processor 1 adopts an OpenMV34 Cam M7 intelligent camera image processing embedded module for portrait feature extraction, analysis and encryption; the portrait positioning adopts the existing ASM (active Shape model) algorithm, the image encryption method utilizes the existing pixel block scrambling method, and the feature matrix is blocked and scrambled by acquiring the portrait feature matrix, so that the encryption effect is realized. The image processor 1 is further connected to the cloud server 3 through a network cable. The cloud server 3 is an industrial computer and is used for video decryption, portrait identification and analysis and result display; the image encryption method utilizes the existing pixel block scrambling and decryption method, and the face recognition method trained by a neural network is utilized for face recognition.
The mounting bracket 4 is used for fixing the camera 2, and the camera 2 is fixed right in front of a pedestrian.
The camera 2 collects the pedestrian figures through video monitoring, transmits the pedestrian figures to the image processor 1 through a video monitoring connecting line, is used for extracting, analyzing and encrypting the figure features and the like, achieves privacy protection on the biological features of the figures, and the image processor 1 stores the figure data and results in the cloud server 3.
The above embodiments are preferred embodiments of the present invention, but the embodiments of the present invention are not limited to the above embodiments, and any other changes, modifications, substitutions, combinations, and simplifications which do not depart from the spirit and principle of the present invention should be equivalent replacement modes, and all are included in the scope of the present invention.
Claims (6)
1. An embedded device for protecting the privacy of the human image biological characteristics is characterized in that the embedded device comprises a camera, an image processor and a cloud server, wherein,
the camera is connected with the image processor through a signal connecting line and is used for collecting portrait images;
the image processor is connected with the cloud server through a signal connecting line, and the image processor adopts an image processing embedded module and is used for carrying out portrait encryption processing;
and the cloud server adopts an industrial computer and is used for video decryption and portrait identification analysis.
2. The embedded device for personal biometric privacy protection as claimed in claim 1 wherein the camera transmits video to the image processor via a USB interface and video signal connection.
3. The embedded device for personal biometric privacy protection as claimed in claim 1, wherein the image processor is connected to the cloud server through a network cable.
4. The embedded device for personal biometric privacy protection as claimed in claim 1 wherein the video camera is an MU3V130M, 130 million pixel 150 frame high speed industrial camera.
5. The embedded device of claim 1, wherein the image processor employs an OpenMV34 Cam M7 smart camera image processing embedded module.
6. The embedded device for protecting privacy of human image biological features as claimed in claim 1, wherein the camera is fixed in front of the captured human image through a bracket.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202020772445.2U CN212569802U (en) | 2020-05-11 | 2020-05-11 | Embedded device for protecting portrait biological feature privacy |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202020772445.2U CN212569802U (en) | 2020-05-11 | 2020-05-11 | Embedded device for protecting portrait biological feature privacy |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN212569802U true CN212569802U (en) | 2021-02-19 |
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Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202020772445.2U Active CN212569802U (en) | 2020-05-11 | 2020-05-11 | Embedded device for protecting portrait biological feature privacy |
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| Country | Link |
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| CN (1) | CN212569802U (en) |
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2020
- 2020-05-11 CN CN202020772445.2U patent/CN212569802U/en active Active
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