CN110728248A - System and method for personnel identification reminding and route recording based on face characteristic value matching - Google Patents
System and method for personnel identification reminding and route recording based on face characteristic value matching Download PDFInfo
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Abstract
The invention discloses a system and a method for personnel identification reminding and route recording based on face characteristic value matching, and belongs to the technical field of face characteristic identification and Internet of vehicles. The invention discloses a personnel identification reminding and route recording system based on face characteristic value matching, which comprises a target personnel characteristic value input module, a target personnel characteristic database, a cloud server, a camera, a face characteristic identification terminal and a target personnel travel information database, wherein the target personnel characteristic value input module is connected with the target personnel characteristic database, the target personnel characteristic database is connected with the cloud server, the cloud server is respectively connected with the target personnel travel information database and the face characteristic identification terminal, and the camera is connected with the face characteristic identification terminal. The person identification reminding and route recording system based on face characteristic value matching can better track and manage the behavior track of the target person, improves the safety management level, and has good popularization and application values.
Description
Technical Field
The invention relates to the technical field of face feature recognition and car networking, and particularly provides a system and a method for personnel recognition reminding and route recording based on face feature value matching.
Background
With the development of artificial intelligence technology, the human face feature recognition algorithm can be used for quite accurately recognizing the features of different human faces, and with the development of technologies such as edge calculation, car networking and the like, a common security camera can be expanded to the field of public transportation. Especially to some target person's action orbit, can be better track the management, promote city wisdom level, improve the safety control level.
Disclosure of Invention
The technical task of the invention is to provide a person identification reminding and route recording system based on face feature value matching, which can better track and manage the behavior track of a target person and improve the safety management level, aiming at the existing problems.
The invention further provides a person identification reminding and route recording method based on face feature value matching.
In order to achieve the purpose, the invention provides the following technical scheme:
the system comprises a target person characteristic value input module, a target person characteristic database, a cloud server, a camera, a face characteristic recognition terminal and a target person travel information database, wherein the target person characteristic value input module is connected with the target person characteristic database, the target person characteristic database is connected with the cloud server, the cloud server is respectively connected with the target person travel information database and the face characteristic recognition terminal, and the camera is connected with the face characteristic recognition terminal.
Preferably, the target person feature value input module is used for pre-inputting face features, extracting the face feature value of the target person, storing the face feature value of the target person in a target person feature database, and updating the feature data of the target person in real time.
Preferably, the camera and the face feature recognition terminal are respectively deployed on a public transport means, the face feature recognition terminal runs by using a GPU acceleration program, the face feature value is recognized at a high speed, and the face feature value is uploaded to a cloud server.
The vehicles comprise buses, subways, taxis and the like.
The face feature recognition terminal is bound with the vehicle and can be in butt joint with an existing vehicle network system, data reported by a multiplexing vehicle networking network can also be independently networked, and the face feature value of the passenger and the vehicle data which are recognized in real time are reported to the cloud server.
And the face feature recognition terminal runs a GPU-accelerated dlib program, recognizes the face feature value at a high speed and uploads the face feature value to the cloud server.
Preferably, the cloud server receives face feature values reported by a face feature recognition terminal, wherein each face feature value is a 128-dimensional feature vector, that is, each face feature value is an array, each array contains 128 elements, the Euclidean distance between the reported face feature value and the face feature value in a target person feature database is calculated by adopting a formula (1), when the Euclidean distance is within a threshold value range, matching is considered to be successful, face feature value information is fed back to the face feature recognition terminal, and the face feature value information is stored in the target person travel information database in combination with the face feature recognition terminal information,
wherein d is12Representing the Euclidean distance between the face characteristic value and the data in the target person characteristic database, k representing a certain element in an array, x1kRepresenting the kth value, x, in a set of feature vectors2kRepresenting the kth value in another set of feature vectors.
And running a cloud service comparison program in the cloud server, and comparing the reported face characteristic value with the face characteristic value in the target person characteristic database.
Preferably, the face feature value information fed back to the face feature recognition terminal includes personnel information, time information, position information, a traffic mode and route information.
Preferably, the face feature recognition terminal information stored in the target person trip information database includes vehicle information, route information, and location information.
The method is realized based on the personnel identification reminding and route recording system based on the human face characteristic value matching, the human face characteristics of a target person are pre-recorded into a target person characteristic value recording module, and the human face characteristic value is extracted and stored in a target person characteristic database; the method comprises the steps that a camera is installed at the entrance and exit of the public transport means and connected to a face feature recognition terminal, the face feature recognition terminal recognizes a passenger face feature value and uploads the passenger face feature value to a cloud server, the cloud server compares the uploaded face feature value with a face feature value in a target person feature value database, if data successfully matched with the target person feature value database exist, face feature value information is fed back to the face feature recognition terminal, and the face feature value information is stored in a target person travel information database in combination with face feature recognition terminal information.
Preferably, the cloud server calculates the Euclidean distance between the reported face characteristic value and the face characteristic value in the target person characteristic database by adopting a formula (1), when the Euclidean distance is within a threshold value range, the matching is considered to be successful, the face characteristic value information is fed back to the face characteristic recognition terminal, the face characteristic value information is stored in the target person travel information database in combination with the face characteristic recognition terminal information,
wherein d is12Representing the Euclidean distance between the face characteristic value and the data in the target person characteristic database, k representing a certain element in an array, x1kRepresenting the kth value, x, in a set of feature vectors2kRepresenting the kth value in another set of feature vectors.
Preferably, the face feature value information fed back to the face feature recognition terminal includes personnel information, time information, position information, a traffic mode and route information.
Preferably, the face feature recognition terminal information stored in the target person trip information database includes vehicle information, route information, and location information.
Compared with the prior art, the system for identifying, reminding and recording the route based on the human face characteristic value matching has the following outstanding beneficial effects: personnel discernment based on human face eigenvalue matches is reminded and route recording system can be better to the management of tracking of target personnel's action orbit, promotes city wisdom level, improves the safety control level, has good popularization and application and worth.
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Fig. 1 is a structural topological diagram of a person identification reminding and route recording system based on face feature value matching according to the present invention.
Detailed Description
The following describes in detail a person identification reminding and route recording system and method based on face feature value matching according to the present invention with reference to the accompanying drawings and embodiments.
Examples
As shown in fig. 1, the system for identifying, reminding and recording routes based on face feature value matching of the present invention includes a target person feature value entry module, a target person feature database, a cloud server, a camera, a face feature identification terminal, and a target person travel information database.
And the target person characteristic value input module is connected with the target person characteristic database. The target person characteristic value input module is used for pre-inputting the face characteristics, extracting the face characteristic value of the target person, storing the face characteristic value of the target person in a target person characteristic database, and updating the target person characteristic data in real time.
The target person characteristic database is connected with the cloud server, the cloud server is respectively connected with the target person travel information database and the face characteristic recognition terminal, and the camera is connected with the face characteristic recognition terminal.
The camera and the face feature recognition terminal are respectively deployed on a public transport means, the face feature recognition terminal runs by using a GPU acceleration program, the face feature value is recognized at a high speed, and the face feature value is uploaded to a cloud server.
The vehicles of the invention comprise buses, subways, taxis and the like.
The face feature recognition terminal is bound with the vehicle and can be in butt joint with an existing vehicle network system, data reported by a multiplexing vehicle networking network can also be independently networked, and the face feature value of the passenger and the vehicle data which are recognized in real time are reported to the cloud server.
The cloud server receives face characteristic values reported by a face characteristic recognition terminal, wherein each face characteristic value is a 128-dimensional characteristic vector, namely each face characteristic value is an array, each array comprises 128 elements, the Euclidean distance between the reported face characteristic value and the face characteristic value in a target person characteristic database is calculated by adopting a formula (1), when the Euclidean distance is within a threshold value range, matching is considered to be successful, face characteristic value information is fed back to the face characteristic recognition terminal, and the face characteristic value information is stored in a target person travel information database in combination with the face characteristic recognition terminal information,
wherein d is12Representing the Euclidean distance between the face characteristic value and the data in the target person characteristic database, k representing a certain element in an array, x1kRepresenting the kth value, x, in a set of feature vectors2kRepresenting the kth value in another set of feature vectors.
The face feature value information fed back to the face feature recognition terminal comprises personnel information, time information, position information, a traffic mode and route information. The face feature recognition terminal information stored in the target person travel information database includes vehicle information, route information, and position information.
The invention relates to a personnel identification reminding and route recording method based on face characteristic value matching, which is realized based on the personnel identification reminding and route recording system based on face characteristic value matching.
The person identification reminding and route recording method based on face characteristic value matching pre-records the face characteristics of a target person into a target person characteristic value recording module, extracts the face characteristic value and stores the face characteristic value in a target person characteristic database. The method comprises the steps that a camera is installed at the entrance and exit of the public transport means and connected to a face feature recognition terminal, the face feature recognition terminal recognizes a passenger face feature value and uploads the passenger face feature value to a cloud server, the cloud server compares the uploaded face feature value with a face feature value in a target person feature value database, if data successfully matched with the target person feature value database exist, face feature value information is fed back to the face feature recognition terminal, and the face feature value information is stored in a target person travel information database in combination with face feature recognition terminal information.
Wherein, the cloud server receives face characteristic values reported by a face characteristic recognition terminal, each face characteristic value is a 128-dimensional characteristic vector, namely each face characteristic value is an array, each array contains 128 elements, the Euclidean distance between the reported face characteristic value and the face characteristic value in a target person characteristic database is calculated by adopting a formula (1), when the Euclidean distance is in a threshold value range, matching is considered to be successful, the face characteristic value information is fed back to the face characteristic recognition terminal, and the face characteristic value information is stored in the target person journey information database in combination with the face characteristic recognition terminal information,
wherein d is12Representing the Euclidean distance between the face characteristic value and the data in the target person characteristic database, k representing a certain element in an array, x1kRepresenting a set of featuresThe kth value, x, in the vector2kRepresenting the kth value in another set of feature vectors.
The face feature value information fed back to the face feature recognition terminal comprises personnel information, time information, position information, a traffic mode and route information. The face feature recognition terminal information stored in the target person travel information database includes vehicle information, route information, and position information.
The above-described embodiments are merely preferred embodiments of the present invention, and general changes and substitutions by those skilled in the art within the technical scope of the present invention are included in the protection scope of the present invention.
Claims (10)
1. Personnel discernment based on face eigenvalue matches is reminded and route record system, its characterized in that: the system comprises a target person characteristic value input module, a target person characteristic database, a cloud server, a camera, a face characteristic recognition terminal and a target person travel information database, wherein the target person characteristic value input module is connected with the target person characteristic database, the target person characteristic database is connected with the cloud server, the cloud server is respectively connected with the target person travel information database and the face characteristic recognition terminal, and the camera is connected with the face characteristic recognition terminal.
2. The system of claim 1, wherein the system comprises: the target person characteristic value input module is used for pre-inputting the face characteristics, extracting the face characteristic value of the target person, storing the face characteristic value of the target person in a target person characteristic database, and updating the target person characteristic data in real time.
3. The system of claim 2, wherein the system comprises: the camera and the face feature recognition terminal are respectively deployed on a public transport means, the face feature recognition terminal runs by using a GPU acceleration program, the face feature value is recognized at a high speed, and the face feature value is uploaded to a cloud server.
4. The system of claim 3, wherein the system comprises: the cloud server receives face characteristic values reported by a face characteristic recognition terminal, wherein each face characteristic value is a 128-dimensional characteristic vector, namely each face characteristic value is an array, each array comprises 128 elements, the Euclidean distance between the reported face characteristic value and the face characteristic value in a target person characteristic database is calculated by adopting a formula (1), when the Euclidean distance is within a threshold value range, matching is considered to be successful, face characteristic value information is fed back to the face characteristic recognition terminal, and the face characteristic value information is stored in a target person travel information database in combination with the face characteristic recognition terminal information,
wherein d is12Representing the Euclidean distance between the face characteristic value and the data in the target person characteristic database, k representing a certain element in an array, x1kRepresenting the kth value, x, in a set of feature vectors2kRepresenting the kth value in another set of feature vectors.
5. The system of claim 4, wherein the system comprises: the face characteristic value information fed back to the face characteristic recognition terminal comprises personnel information, time information, position information, a traffic mode and route information.
6. The system of claim 5, wherein the system comprises: the face feature recognition terminal information stored in the target person travel information database includes vehicle information, route information, and position information.
7. A person identification reminding and route recording method based on face feature value matching is characterized in that: the method is realized based on the personnel identification reminding and route recording system based on the face characteristic value matching according to any one of claims 1 to 6, the face characteristics of a target person are pre-recorded into a target person characteristic value recording module, and the face characteristic value is extracted and stored in a target person characteristic database; the method comprises the steps that a camera is installed at the entrance and exit of the public transport means and connected to a face feature recognition terminal, the face feature recognition terminal recognizes a passenger face feature value and uploads the passenger face feature value to a cloud server, the cloud server compares the uploaded face feature value with a face feature value in a target person feature value database, if data successfully matched with the target person feature value database exist, face feature value information is fed back to the face feature recognition terminal, and the face feature value information is stored in a target person travel information database in combination with face feature recognition terminal information.
8. The person identification reminding and route recording method based on face feature value matching according to claim 7, wherein the method comprises the following steps: the cloud server calculates the Euclidean distance between the reported face characteristic value and the face characteristic value in the target person characteristic database by adopting a formula (1), when the Euclidean distance is within a threshold value range, the matching is considered to be successful, the face characteristic value information is fed back to the face characteristic recognition terminal, the face characteristic value information is stored in the target person travel information database in combination with the face characteristic recognition terminal information,
wherein d is12Representing the Euclidean distance between the face characteristic value and the data in the target person characteristic database, k representing a certain element in an array, x1kRepresenting the kth value, x, in a set of feature vectors2kRepresenting the kth value in another set of feature vectors.
9. The person identification reminding and route recording method based on face feature value matching according to claim 8, wherein the method comprises the following steps: the face characteristic value information fed back to the face characteristic recognition terminal comprises personnel information, time information, position information, a traffic mode and route information.
10. The person identification reminding and route recording method based on face feature value matching according to claim 9, wherein: the face feature recognition terminal information stored in the target person travel information database includes vehicle information, route information, and position information.
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