Safe Start

Author(s)	Dr. Sanket Kasturiwala, Mr. Sudhanshu Sawalkar, Ms. Rutuja Ambildhuke, Mr. Kartik Raut, Ms. Pari Borkar, Mr. Kartik Vasake, Mr. Rishi Borkar
Country	India
Abstract	Safe Start is an AI-powered safety system that prevents two-wheeler ignition unless a rider is wearing a helmet. Using a handle-mounted camera connected to a Raspberry Pi, the system applies computer vision with OpenCV to detect helmet presence in real time. If no helmet is detected, ignition is blocked automatically, ensuring rider safety without external enforcement. Vibration-dampening mounts and redundant sensors improve detection accuracy across varied lighting and environmental conditions. This compact and affordable hardware solution reduces head injury risks, encourages helmet compliance, and promotes road safety. Safe Start demonstrates how indigenous, low-cost AI technology can transform two-wheeler safety enforcement through smart vehicle innovation
Keywords	Smart Vehicles, Helmet Detection, Ignition Control System, Computer Vision, Raspberry Pi, Road Safety.
Field	Engineering
Published In	Volume 7, Issue 6, November-December 2025
Published On	2025-11-05
DOI	https://doi.org/10.36948/ijfmr.2025.v07i06.59556

About IJFMR Fees & Payment Current Issue Publication Archive	Submit Research Paper Track Submission Status Publication Guidelines Publication Ethics Peer Review & Plagiarism	Join as a Reviewer Editors & Reviewers Reviewer Referral Program Get Reviewer Membership Certi.	Website/Journal Policies Usage Policy Content Policies Privacy Policy

Contact Us		+91-9687-828-838	editor@ijfmr.com

International Journal For Multidisciplinary Research