Open Access
Research Paper
Peer Reviewed

Paper Title

AI-DRIVEN HELMET DETECTION AND IGNITION CONTROL SYSTEM FOR ENHANCED TWO-WHEELER SAFETY

Article Identifiers

Registration ID: IJNRD_322093

Published ID: IJNRD2604019

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Keywords

Artificial Intelligence, YOLOv8, Internet of Things (IoT), ESP32, Smart Helmet, Ignition Interlock System

Abstract

This paper presents an intelligent safety prototype powered by artificial intelligence, designed to explore the synergistic integration of computer vision and Internet of Things technologies in enhancing safety compliance for motorcyclists. The system acts as a proactive safety proof of concept, employing real-time monitoring to ensure that the vehicle's ignition is activated only when certain safety conditions such as wearing a helmet and rider sobriety are satisfied. The proposed system functions through four main stages within a controlled prototype setting. Initially, it uses a camera module and the YOLOv8 algorithm for real-time object detection, specifically to confirm the presence of a helmet. Next, integrated IoT hardware, which includes IR and alcohol sensors, monitors simulated rider conditions and identifies potential impact events. These inputs are then processed by an ESP32 microprocessor, which compares the data to predetermined safety criteria. Finally, the system implements an automated ignition interlock mechanism, showcasing its capability to dynamically manage a power circuit based on the combined outcomes of the safety evaluations. By merging computer vision with embedded hardware in a laboratory environment, this project demonstrates the viability of an intelligent interlock system as a foundational strategy for improving road safety and rider accountability.

How To Cite (APA)

Navya N C, Avinash Ravindran, K Arjun Narayanan, Muhammed Sinan U V, & Soumyasree C M (April-2026). AI-DRIVEN HELMET DETECTION AND IGNITION CONTROL SYSTEM FOR ENHANCED TWO-WHEELER SAFETY. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 11(4), a188-a194. https://ijnrd.org/papers/IJNRD2604019.pdf

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Other Publication Details

Paper Reg. ID: IJNRD_322093

Published Paper Id: IJNRD2604019

Research Area: Other area not in list

Author Type: Indian Author

Country: Kannur, kerala, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2604019.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2604019

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Publication Timeline

Paper Submission
28-03-2026
Peer Review
Through Scholar9.com Platform
Paper Acceptance
03-04-2026
Paper Publication
07-04-2026

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