Framework for Traffic Rule Infringement

Authors

  • Harshitha S
  • G. Poornima

Keywords:

Convolutional Neural Network, Darknet-53, Object Detection, Traffic Rule Infringement, YOLOv3

Abstract

Here we have proposed the technique for ceaseless acknowledgment of bike riders without a helmet that works in two phases. In the essential stage, we distinguish a bike rider in the video layout, and in the resulting stage, we discover the pioneer of the bike rider and perceive the number plate and besides recognize whether the rider is using a helmet or not. As the helmet is significant just in case of moving bike riders, so getting ready full packaging becomes computational overhead which doesn’t expand the estimation of revelation rate? Next, we present advances associated with foundation displaying. The proposed framework initially recognizes for any vehicle which abuses traffic rule and afterward catches the vehicle picture. From the caught picture utilizing picture division procedure, the vehicle number plate area will be separated and the procedure utilized for the character acknowledgment on the number plate is Optical character acknowledgment.

Published

2020-09-15

Issue

Section

Articles