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

Introduction

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
• Capturing Bike Numbers

Helmet Missing Detection

• 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

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

Dataset

Archietecture Used

• YOLO
• PaddleOcr

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