Edit model card

Real-Time Detection of Helmet Violations and Capturing Bike Numbers from Number Plates

Introduction

The real-time detection of helmet violations and capturing bike numbers from number plates is a comprehensive project that aims to enhance road safety by addressing two critical aspects:

  1. Helmet Violation Detection: This component of the project focuses on identifying motorcycle riders who are not wearing helmets. It uses computer vision techniques to analyze real-time camera feeds and instantly alerts authorities when a violation is detected.

  2. Capturing Bike Numbers: The second component involves recognizing number plates and extracting number plate information from vehicles in real-time. This feature is valuable for law enforcement.

Table of Contents

Helmet Missing Detection

The helmet missing detection module uses computer vision techniques to:

  • Detect faces and riders on motorcycles.
  • Determine whether the rider is wearing a helmet.
  • Trigger alerts or notifications when a violation is detected.

Capturing Bike Numbers

The number plate recognition module uses Optical Character Recognition (OCR) techniques to:

  • Detect number plates on vehicles.
  • Recognize the characters and display the number plate information in real-time.

Dataset

-Acquired a comprehensive dataset from online sources containing 120 images with complete rider information, including the rider, helmet presence, and visible number plate and annotated it.

Archietecture Used

  • YOLO
  • PaddleOcr

If you find this project useful, kindly give it a like

Downloads last month

-

Downloads are not tracked for this model. How to track
Inference API
Unable to determine this model's library. Check the docs .