CN110738176A - public security face recognition intelligent matching personal information system - Google Patents
public security face recognition intelligent matching personal information system Download PDFInfo
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- CN110738176A CN110738176A CN201910987954.9A CN201910987954A CN110738176A CN 110738176 A CN110738176 A CN 110738176A CN 201910987954 A CN201910987954 A CN 201910987954A CN 110738176 A CN110738176 A CN 110738176A
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- 238000007405 data analysis Methods 0.000 claims abstract description 13
- 238000007781 pre-processing Methods 0.000 claims description 10
- 230000003321 amplification Effects 0.000 claims description 9
- 238000003199 nucleic acid amplification method Methods 0.000 claims description 9
- 238000012217 deletion Methods 0.000 claims description 6
- 230000037430 deletion Effects 0.000 claims description 6
- 238000002372 labelling Methods 0.000 claims 2
- 238000000034 method Methods 0.000 claims 1
- 230000008447 perception Effects 0.000 description 9
- 238000010586 diagram Methods 0.000 description 4
- 230000000694 effects Effects 0.000 description 4
- 238000005516 engineering process Methods 0.000 description 3
- 230000005540 biological transmission Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
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- 238000012544 monitoring process Methods 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/161—Detection; Localisation; Normalisation
- G06V40/166—Detection; Localisation; Normalisation using acquisition arrangements
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/168—Feature extraction; Face representation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/172—Classification, e.g. identification
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Abstract
The invention relates to the technical field of face recognition, in particular to an intelligent matching personal information system for public security face recognition, which comprises a processor, wherein the processor is in signal connection with a wireless receiving and transmitting module, the processor is in signal connection with a face acquisition unit, the processor is in signal connection with a data analysis unit, the processor is in signal connection with a pre-recognition module, the pre-recognition module is in signal connection with a comparison module, the comparison module is in signal connection with a threshold value discrimination module, after the data analysis unit analyzes image data, the pre-recognition module recognizes face features, meanwhile, the face features are compared with faces in a memory through the comparison module, the feature threshold values between the face features and the faces in the memory are judged by the threshold value discrimination module, if the face images are larger than the threshold value, the current face images do not belong to a face database, if the face images are smaller than the threshold value, the images closest to the face.
Description
Technical Field
The invention relates to the technical field of face recognition, in particular to an public security face recognition intelligent matching personal information system.
Background
The face recognition technology belongs to types of biological feature recognition technologies, the fact that face images of different people have respective characteristics is utilized, , identity attribution of people is confirmed by comparing face image information of the people to be recognized with face image information of candidate objects in a library, in criminal investigation work of a public security department , the face recognition technology is applied in a mode, and various application forms exist, including online pursuit, bayonet pursuit, prison management, key object monitoring and the like.
In the existing face recognition matching system, after people pictures are collected, the system cannot be quickly matched with face images stored in the system, the time consumption is long, and the matching is not accurate.
Disclosure of Invention
The invention aims to solve the defects of long time consumption and inaccurate matching in the prior art, and provides public security face recognition intelligent matching personal information systems.
In order to achieve the purpose, the invention adopts the following technical scheme:
public security face recognition intelligent matching personal information systems are designed, and the system comprises a processor, wherein the processor is in signal connection with a storage, the processor is in signal connection with a display module, the processor is in signal connection with a wireless receiving and transmitting module, the processor is in signal connection with a face collecting unit, the processor is in signal connection with an interface module, the processor is in signal connection with a data analyzing unit, the processor is in signal connection with a pre-recognition module, the pre-recognition module is in signal connection with a comparison module, the comparison module is in signal connection with a threshold value distinguishing module, a face image is collected through the face collecting unit and is wirelessly transmitted into the processor, the data analyzing unit analyzes image data to determine face characteristics, the pre-recognition module recognizes the face characteristics, the face characteristics are compared with a face in the storage through the comparison module, the characteristic threshold value between the face characteristics and the face image is judged by the threshold value distinguishing module, if the characteristic threshold value is larger than the threshold value, the current face image does not belong to a face database, if the threshold value is smaller than the.
Preferably, the memory is connected to an image update module through a signal, and the image update module updates the image stored in the memory to cover the previous image data.
Preferably, the people's face acquisition unit includes th microprocessor, th microprocessor signal connection wireless reception and emission module, th microprocessor signal connection has a storage module, th microprocessor signal connection has a trigger unit, th microprocessor signal connection has a dynamic identification module, dynamic identification module signal connection has a preprocessing module, preprocessing module signal connection has the camera, th microprocessor signal connection has a picture processing module, through trigger unit, after detecting the people, dynamic identification module starts for the camera makes a video recording to the face under people's motion state, handles the back through preprocessing module, transmits the picture to th microprocessor, because picture processing module handles the picture.
Preferably, the storage module is in signal connection with a deletion module, the deletion module is in signal connection with the th microprocessor, and the th microprocessor controls the deletion module to delete data in the storage module.
Preferably, the trigger unit includes second microprocessor, second microprocessor signal connection has the database, second microprocessor signal connection has infrared perception module, second microprocessor signal connection has data processing module, second microprocessor signal connection has the start signal module, start signal module signal connection has signal amplification module, signal amplification module signal connection microprocessor through infrared perception module perception external environment, with the information transmission of perception to data processing module, when someone appeared, the start signal module sent start signal, after amplifying through the amplification module, transmitted to microprocessor.
Preferably, the picture processing module comprises a third microprocessor, the third microprocessor is in signal connection with a picture receiving module, the picture receiving module is in signal connection with an th microprocessor, the third microprocessor is in signal connection with a picture dividing module, the third microprocessor is in signal connection with a feature acquisition module, the feature acquisition module is in signal connection with a feature combination module, the picture is received through the picture receiving module, the picture dividing module divides the received picture into sections, the feature acquisition module acquires features on a single picture, and the feature combination module combines the acquired features.
Preferably, the data analysis unit includes the microchip, microchip signal connection has data identification module, data identification module signal connection the processor, microchip signal connection has the feature distribution module, feature distribution module signal connection has the feature marking module, feature marking module signal connection has the feature to go back to module, discerns the data that the processor transmitted through data identification module, and the feature distribution module distributes the position of characteristic information ann face, and the feature marking module marks outstanding feature, and the feature is gone back to module and is carried out the face of feature combination the big or small system .
The public security face recognition intelligent matching personal information system provided by the invention has the beneficial effects that:
after the image data is analyzed by the data analysis unit, the face features are recognized by the pre-recognition module, the face features are compared with the face in the memory by the comparison module, the feature threshold value between the face features and the face in the memory is judged by the threshold value judgment module, if the feature threshold value is smaller than the threshold value, the image closest to the face in the face database is used as the recognition result, the consumed time is short, and the matching is accurate.
Drawings
FIG. 1 is a system block diagram of an public security face recognition intelligent matching personal information system according to the present invention;
FIG. 2 is a system block diagram of a face acquisition unit in an public security face recognition intelligent matching personal information system according to the present invention;
FIG. 3 is a system block diagram of a trigger unit in an public security face recognition intelligent matching personal information system according to the present invention;
fig. 4 is a system block diagram of a data analysis unit in an public security face recognition intelligent matching personal information system according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only some embodiments, not all embodiments, of the present invention .
Example 1
Referring to fig. 1-4, public security face identification intelligence matches personal information system, including the treater, treater signal connection has the memory, the effect of memory is storage face information, treater signal connection has the display module, treater signal connection has wireless receiving and emission module, wireless receiving and emission module's effect makes picture information transmit to the treater in, treater signal connection has the face acquisition unit, the face acquisition unit is the collection face information, treater signal connection has interface module, interface module is leading-in face information, treater signal connection has the data analysis unit, the data analysis unit is to face data analysis.
The processor is in signal connection with a pre-recognition module, the pre-recognition module is used for recognizing prominent face features, the pre-recognition module is in signal connection with a comparison module, the comparison module is used for comparing the collected face features with faces in a storage, the comparison module is in signal connection with a threshold value discrimination module, face images are collected through a face collection unit and are transmitted to the processor in a wireless mode, a data analysis unit analyzes image data to determine the face features, the pre-recognition module is used for recognizing the face features, meanwhile, the face features are compared with the faces in the storage through the comparison module, a feature threshold value between the face features and the faces in the storage is judged through the threshold value discrimination module, if the face features are larger than the threshold value, the current face images do not belong to a face database, if the face features are smaller than the threshold value, images with the nearest.
Example 2
Referring to fig. 1-4, another preferred embodiment of the present invention is different from embodiment 1 in that an image update module is connected to the memory by a signal, and the image update module updates the image stored in the memory to overwrite the previous image data.
Example 3
Referring to fig. 1-4, as another preferred embodiment of the present invention, the difference from embodiment 1 is that the face capturing unit includes a th microprocessor, a th microprocessor is in signal connection with a wireless receiving and transmitting module, a th microprocessor is in signal connection with a storage module, the storage module is used for storing captured face picture information, the storage module is in signal connection with a deleting module, the deleting module is in signal connection with a th microprocessor, and a th microprocessor controls the deleting module to delete data in the storage module.
microprocessor signal connection has trigger unit, trigger unit is the start-up of control camera, trigger unit includes second microprocessor, second microprocessor signal connection has the database, second microprocessor signal connection has infrared perception module, infrared perception module is perception external environment, second microprocessor signal connection has data processing module, second microprocessor signal connection has the start signal module, the start signal module is to send start signal, start the camera and make a video recording, start signal module signal connection has signal amplification module, signal amplification module signal connection microprocessor, perceive external environment through infrared perception module, transmit the information transmission of perception to data processing module, when someone appears, start signal module sends start signal, after amplification module enlargies, transmit to microprocessor.
microprocessor signal connection has the dynamic identification module, the effect of dynamic identification module is to making a video recording to the object of motion state, dynamic identification module signal connection has preprocessing module, preprocessing module's effect is the brightness of adjusting the collection image, preprocessing module signal connection has the camera, microprocessor signal connection has the picture processing module, the picture processing module is handled the picture of gathering, the picture processing module includes third microprocessor, third microprocessor signal connection has the picture receiving module, picture receiving module signal connection microprocessor, third microprocessor signal connection has the picture to cut apart the module, the picture is cut apart the module and is cut apart the people's face picture of gathering.
The third microprocessor signal connection has the characteristic collection module, the characteristic collection module is face characteristic information, the characteristic collection module signal connection has the characteristic combination module, accept the picture through picture receiving module, the picture is cut apart the back with the picture of receiving to the picture segmentation module, the characteristic collection module is gathered the characteristic on the single picture, the characteristic combination module makes up the characteristic of gathering, through the trigger unit, after detecting the people, dynamic identification module starts, make the camera make a video recording to the face under people's motion state, after the processing of preprocessing module, transmit the picture to microprocessor, because picture processing module handles the picture.
Example 4
Referring to fig. 1-4, as another preferred embodiment of the present invention, the difference from embodiment 1 is that the data analysis unit includes a microchip, the microchip is connected with a data recognition module by signals, the data recognition module is used for continuously recognizing face feature data, the data recognition module is connected with a processor by signals, the microchip is connected with a feature distribution module by signals, the feature distribution module is used for distributing the feature data according to the face position, the feature distribution module is connected with a feature marking module by signals, the feature marking module is connected with a feature classifying module by signals, the data transmitted by the processor is recognized by the data recognition module, the feature distribution module distributes the feature information according to the position of the face, the feature marking module marks the salient features, and the feature classifying module classifies the size of the face combined with features into a system .
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention should be equivalent or changed within the scope of the present invention.
Claims (7)
- The intelligent matching personal information system for public security face recognition comprises a processor, wherein the processor is in signal connection with a storage, and the intelligent matching personal information system is characterized in that the processor is in signal connection with a display module, the processor is in signal connection with a wireless receiving and transmitting module, the processor is in signal connection with a face collecting unit, the processor is in signal connection with an interface module, the processor is in signal connection with a data analysis unit, the processor is in signal connection with a pre-recognition module, the pre-recognition module is in signal connection with a comparison module, the comparison module is in signal connection with a threshold value distinguishing module, a face image is collected through the face collecting unit and is wirelessly transmitted into the processor, the data analysis unit analyzes the image data to determine face characteristics, the pre-recognition module recognizes the face characteristics, the face characteristics are compared with a face in the storage through the comparison module, the characteristic threshold value distinguishing module judges whether the face characteristics are larger than the threshold value, if the face images are not in a face database, if the face images are smaller than the threshold value, the images closest to the face database are used as recognition results.
- 2. The public security face recognition intelligent matching personal information system according to claim 1, wherein an image update module is connected to the memory via signals, and the image update module updates the image stored in the memory to overwrite the previous image data.
- 3. The public security face recognition intelligent matching personal information system of claim 1, wherein the face collecting unit includes microprocessor, microprocessor signal connection the wireless receiving and transmitting module, microprocessor signal connection has a storage module, microprocessor signal connection has a trigger unit, microprocessor signal connection has a dynamic recognition module, dynamic recognition module signal connection has a preprocessing module, preprocessing module signal connection has a camera, microprocessor signal connection has a picture processing module, through the trigger unit, after detecting a person, the dynamic recognition module is started up, so that the camera takes a picture of the face under the state of motion of the person, after the processing of the preprocessing module, the picture is transmitted to microprocessor, because the picture processing module processes the picture.
- 4. The public security face recognition intelligent matching personal information system according to claim 3, wherein the storage module is in signal connection with a deletion module, the deletion module is in signal connection with the microprocessor, the microprocessor controls the deletion module to delete data in the storage module.
- 5. The public security face recognition intelligent matching personal information system according to claim 3, wherein the trigger unit includes a second microprocessor, the second microprocessor is signal-connected with a database, the second microprocessor is signal-connected with an infrared sensing module, the second microprocessor is signal-connected with a data processing module, the second microprocessor is signal-connected with a start signal module, the start signal module is signal-connected with a signal amplification module, the signal amplification module is signal-connected with the microprocessor, senses the external environment through the infrared sensing module, transmits the sensed information to the data processing module, and when someone appears, the start signal module sends out a start signal, and the start signal is amplified by the amplification module and then transmitted to the microprocessor.
- 6. The public security face recognition intelligent matching personal information system according to claim 3, wherein the picture processing module includes a third microprocessor, the third microprocessor is in signal connection with a picture receiving module, the picture receiving module is in signal connection with a microprocessor, the third microprocessor is in signal connection with a picture dividing module, the third microprocessor is in signal connection with a feature collecting module, the feature collecting module is in signal connection with a feature combining module, the picture is received through the picture receiving module, the feature collecting module collects features on a single picture after the received picture is divided by the picture dividing module, and the feature combining module combines the collected features.
- 7. The public security face recognition intelligent matching personal information system according to claim 1, wherein the data analysis unit includes a microchip signal-connected with a data recognition module signal-connected with the processor, the microchip signal-connected with a feature distribution module signal-connected with a feature labeling module signal-connected with a feature grouping module signal-connected with a feature grouping 3932 module signal-connected with a feature grouping module, the data transmitted by the processor is recognized by the data recognition module, the feature distribution module distributes the position of the feature information safety face, the feature labeling module labels the salient features, and the feature grouping module groups the size of the face of the feature combination.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN112364733A (en) * | 2020-10-30 | 2021-02-12 | 重庆电子工程职业学院 | Intelligent security face recognition system |
| CN113609890A (en) * | 2021-05-25 | 2021-11-05 | 深圳市国基视讯技术有限公司 | Collaborative face recognition system and recognition method based on independent recognition terminal |
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