A driver safety belt detection device based on deep learning comprises a support installed on the downstream of the traffic flow direction of one side of a road; a first laser distance measuring device, an area-array camera and a second laser distance measuring device are sequentially installed on the support, and an infrared emitter and an infrared receiver which correspond to each other are arranged on the two sides of the road on the upstream of the traffic flow direction respectively. The first laser ranging device, the area-array camera, the second laser ranging device, the infrared transmitter and the infrared receiver are in bidirectional signal connection with the processor; based on deep learning, image acquisition, image processing, image detection and driver safety belt identification are carried out; the device can reduce the labor intensity of manual detection of whether a driver wears a safety belt, improves the detection accuracy, achieves the automatic detection, is simple in structure, is high in accuracy, is intelligent, and is practical and efficient.

    一种基于深度学习的驾驶员安全带检测装置,包括安装在道路一侧车流方向下游的支架,支架上依次安装有第一激光测距装置、面阵相机及第二激光测距装置,车流方向上游的道路两侧分别设有对应的红外发射器及红外接收器,第一激光测距装置、面阵相机、第二激光测距装置、红外发射器和红外接收器分别与处理器双向信号连接;基于深度学习,通过图像采集、图像处理、图像检测以及对驾驶员安全带识别;能够降低人工检测驾驶员是否佩戴安全带的劳动强度,提高检测的准确度,实现自动检测,具有结构简单、准确率高、智能化及实用高效的优点。


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    Titel :

    Driver safety belt detection device and method based on deep learning


    Weitere Titelangaben:

    一种基于深度学习的驾驶员安全带检测装置及检测方法


    Beteiligte:
    WANG JIANFENG (Autor:in) / LIU QI (Autor:in) / XU HAODONG (Autor:in) / YANG YONGYI (Autor:in)

    Erscheinungsdatum :

    06.04.2021


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Chinesisch


    Klassifikation :

    IPC:    G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS / G06K Erkennen von Daten , RECOGNITION OF DATA



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