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.


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    Traffic monitoring system of multi lane based on deep learning using camera


    Weitere Titelangaben:

    카메라를 활용한 딥러닝 기반 다차로 무인교통과속단속 시스템


    Beteiligte:
    CHOI JUNG SAM (Autor:in) / LEE KYOUNG SOO (Autor:in) / LEE HAN GYEOL (Autor:in)

    Erscheinungsdatum :

    02.08.2022


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Koreanisch


    Klassifikation :

    IPC:    G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS



    Multi-Lane Traffic Monitoring System (MTMS)

    Capozzi, Jerry V. / Benning, Stephen L. | SAE Technical Papers | 1998


    Multi-lane Traffic Monitoring System ( MTMS )

    Benning,S.L. / Capozzi,J.V. / Air Force Res.Lab.,US et al. | Kraftfahrwesen | 1998


    Multi-Lane Traffic Monitoring System (MTMS)

    Benning, S. L. / Capozzi, J. V. / Society of Automotive Engineers | British Library Conference Proceedings | 1998


    Traffic Impact Analysis of a Deep Reinforcement Learning-based Multi-lane Freeway Vehicle Control

    Kataoka, Yuta / Yang, Hao / Keshavamurthy, Shalini et al. | IEEE | 2020


    Method System for Traffic Monitoring Using Deep Learning

    Europäisches Patentamt | 2021

    Freier Zugriff