Multi-dimensional supervision platform for traffic illegal business
1. System introduction
The face recognition supervision platform for traffic violation business adopts advanced face recognition and live detection technology, and through data docking with the comprehensive application platform of traffic management, it realizes face recognition confirmation and "scalper" early warning functions, so as to realize the true meaning of " Whoever violates the law, who will be dealt with", effectively curbs the phenomenon of "buying points and selling points" in traffic violations.
The platform is independently developed by Yunyihong and meets the requirements of the Transportation Administration's "Notice on Strict Handling of Road Traffic Illegal Activities and Resolutely Curbing the Behavior of Buying Points", and conforms to the general trend of intelligent transportation development.
2. Construction goals
(1) Based on the docking of face recognition technology and traffic illegal business system, it provides full-process applications such as portrait collection, identification alarm, background comparison, and data analysis.
(2) Effectively improve efficiency and increase satisfaction.
(3) Effectively supervise the code of conduct of illegal business handling staff.
(4) Effectively curb and crack down on illegal intermediaries and transactions.
(5) Effectively solve the problem of one person handling multiple vehicles, and one vehicle handling multiple illegal problems.
(6) Effectively solve the technical and management requirements of the Traffic Management Bureau for illegal handling.
Three, system structure
The multi-dimensional business supervision platform for traffic violations is mainly composed of four parts: face authentication, "scalper" live detection in the illegal hall, full-process audio and video recording, and blacklist data early warning.
Four, system function
1. Comparison of witnesses
Personal identification comparison: The system uses advanced face recognition technology, and automatically compares the photos collected on-site with the registered photos through a high-speed camera to obtain the similarity. If the similarity is lower than the set value, the violation cannot be handled.
2. Living body recognition
3. Audio and video recording
4. Data warning
The face recognition supervision system for traffic violation business is deployed at the simplified procedure business processing window, the general procedure business processing window, and the off-site illegal processing window. Through the comparison of the human certificate and the abnormal business warning, the traffic violation processing process can be effectively monitored after the implementation to take the initiative beforehand. Effective defense mechanism, the main early warning functions of the system:
1. One certificate handles multi-vehicle warning
2. Full score continues to deal with warning
3. Deal with 12 points of early warning multiple times
4. Multiple full score learning warning
5. Early warning of frequent entry and exit
Five, system characteristics
1. Fast recognition and high accuracy: The system adopts a 1:1 image comparison algorithm for the comparison of the ID, which can complete the comparison within 0.125 seconds, and the accuracy rate reaches 99%.
2. Full coverage of business and easy expansion of the system: the system can supervise all illegal processing services; the system can be docked with self-service processing terminals to achieve personal identification comparison.
3. Transparent service standardization process: Face recognition technology and abnormal business early warning mechanism reduce manual intervention, make the service more standardized and the process more transparent.
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