Detecting Triple Riding and Without Helmet Riders Using Yolov2 Detector

In this work, detection of triple riding and without helmet riders is identified and mail will be sent to the respective person is implemented using the YOLOv2 detector network. 

It was observed that motorcycle is designed to ride two persons and if used by more than two persons then it will be called Triple riding. Triple riding of a motorcycle/ driving without wearing a helmet, cannot be approved and it is an offense. Although many automated detections approaches including those based on image processing techniques have been proposed, the detection performance still has room for improvement due to the large variability in image appearance, imaging interference. 

Here, we will implement the detection of triple riding/without helmet using deep learning techniques like the YOLOv2 network. The dataset for this work is collected from the available online sources (google).

Keywords: Triple Riding/Without Helmet, Detection, Deep Learning, YOLO network.