Recognition of The Rearview Image Pattern of a Motorcycle for a System to Detect Current Violations on a One-Way Street

This study aims to detect traffic violations, especially motorbikes that go against the flow on a one-way street by recognizing the pattern of rearview images of vehicles. The method used is Faster-RCNN. This system uses an IP camera with a pole height of 2.5 m with a tilt angle of 45 degrees. Recognition of the rear view of the vehicle using the Labeling method using Labelling and TensorFlow with the Faster-RCNN model for classification. The result of system accuracy is as much as 88%.