The present invention relates to a deep learning-based multi-lane unmanned speed enforcement system using a camera, which includes: a lighting unit; an image capturing unit; a control unit; and a communication unit, wherein the control unit includes a vehicle object recognition unit, a speed detection unit, a license plate recognition unit, and a traffic information analysis unit. The present invention provides the system which operates without a complicated structure and additional manpower regardless of installation location through communication with a server without the need for a separate controller through real-time image processing (Real-Time) in the camera.
본 발명은, 조명부; 영상촬영부; 제어부; 및 통신부를 포함하며, 상기 제어부는 차량객체 인식부, 속도검출부, 차량번호 인식부, 교통정보 분석부를 포함하는 카메라를 활용한 딥러닝 기반 다차로 무인교통과속단속 시스템이다.
Traffic monitoring system of multi lane based on deep learning using camera
카메라를 활용한 딥러닝 기반 다차로 무인교통과속단속 시스템
2022-08-02
Patent
Electronic Resource
Korean
IPC: | G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS |
Multi-Lane Traffic Monitoring System (MTMS)
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