The present invention relates to a deep learning-based traffic volume monitoring method and a system, and more specifically, to a deep learning-based traffic volume monitoring method and a system, which have strong judgment characteristics against external environmental factors by using a plurality of deep learning models, and it is possible to monitor a traffic volume by tracking a direction of a vehicle at an intersection while reducing the number of cameras. The computing system includes four or more vehicle object detection models learned based on the deep learning according to each of two or more camera positions according to each of two or more time zones.

    본 발명은 딥러닝 기반 교통량 모니터링 방법, 및 시스템에 관한 것으로서, 복수의 딥러닝 모델을 이용하여 외부 환경적 요인에 강인한 판단특성을 가지고, 카메라 개수를 감소시키면서 교차로 등에서 차량의 방향성을 트래킹하여 교통량을 모니터링 할 수 있는, 딥러닝 기반 교통량 모니터링 방법, 및 시스템에 관한 것이다.


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    Title :

    Method System for Traffic Monitoring Using Deep Learning


    Additional title:

    딥러닝 기반 교통량 모니터링 방법, 및 시스템


    Publication date :

    2021-11-09


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Korean


    Classification :

    IPC:    G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / G06Q Datenverarbeitungssysteme oder -verfahren, besonders angepasst an verwaltungstechnische, geschäftliche, finanzielle oder betriebswirtschaftliche Zwecke, sowie an geschäftsbezogene Überwachungs- oder Voraussagezwecke , DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES / G06T Bilddatenverarbeitung oder Bilddatenerzeugung allgemein , IMAGE DATA PROCESSING OR GENERATION, IN GENERAL / H04N PICTORIAL COMMUNICATION, e.g. TELEVISION , Bildübertragung, z.B. Fernsehen



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