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Published Date: 31-03-2025

Surveillance System for Detection of Bike Riders without Helmets and Triple Rides

This project outlines a monitoring system designed to enhance road safety by detecting bikers who do not wear helmets and identifying triple rides. The system promotes advanced technologies such as computer vision and automated learning to monitor traffic conditions and effectively enforce safety regulations.

Overview of the system

  1. Configuration: High-resolution cameras are installed at strategic locations such as improvised intersections and routes for real-time footage of bikers.
  2. Photo processing: Photographed images are processed using computer vision algorithms to identify bikers and the system analyses features such as head and number of passengers on the bike.
  3. Helmet detection: Using automated learning models, the system distinguishes between helmet and helmet-free passengers. Non-compliance alerts are generated.
  4. Disclosure of the triple pier: the system also determines cases of triple traffic by counting the number of individuals on a single bike. This is critical to the enforcement of safety regulations.
  5. Data analysis: Compiled data are being analysed to identify trends and hot spots in relation to violations, and to assist in the implementation of targeted campaigns and public awareness.
  6. Real-time notices: Law enforcement agencies receive real-time notices of violations, allowing immediate action to ensure compliance with safety regulations.
With the implementation of this surveillance system, we aim to significantly reduce incidents and to promote safer bike ride practices.

We have more details like Algorithm Information, Condition Checks, Technology, Industry & Human Benefits:

1. Title Page

  • Title Sources

2. Abstract

  • Summary of the Project
  • Key Findings
  • Keywords

3. Introduction

  • Background
  • Problem Statement
  • Research Questions
  • Objectives

4. Literature Review

  • Theoretical Framework
  • Review of Related Studies
  • Gaps in the Literature

5. Project Methodology

  • Research Design
  • Data Collection Methods
  • Data Analysis Techniques
  • Ethical Considerations

6. Project Results

  • Data Presentation
  • Statistical Analysis
  • Key Findings

7. Discussion

  • Interpretation of Results
  • Implications of Findings
  • Limitations

8. project Conclusion

  • Summary of Findings
  • Recommendations
  • Future Research Directions

9. References

  • References and Resources Links

10. Appendices

  • Final Source Code
  • Survey
  • Live environment/Real world Data Sets 
  • Additional Figures and Tables

The final table of contents depends on the project selection.

Project Delivery Kit

Project Source Code

Installation Guide

Data Sets and Samples

Usage Terms

Deployment Guide & More

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