International Research Journal of Innovations in Engineering and Technology - IRJIET International Open Access, Monthly, Peer Reviewed, Reputed Journal ISSN (online): 2581-3048

Impact Factor (2025): 6.9

DOI Prefix: 10.47001/IRJIET

YOLO Based Approach for Helmet and Number Plate Detection Using Raspberry Pi

Priti JagtapStudent, Department of Electronics and Telecommunication Engineering, Ajeenkya DY Patil School of Engineering, Lohgaon, Pune, Maharashtra, IndiaProf. Sagar DhawaleAsst. Professor, Department of Electronics and Telecommunication Engineering, Ajeenkya DY Patil School of Engineering, Lohgaon, Pune, Maharashtra, India

Vol 9 No 3 (2025): Volume 9, Issue 3, March 2025 | Pages: 337-341

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 19-04-2025

doi Logo doi.org/10.47001/IRJIET/2025.903049

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Abstract

In India, road accidents are increasing very rapidly and lots of deaths occur due to head injuries as number of people does not wear helmets. The helmet is the main safety equipment of motorcyclists. However, many drivers do not use it. The main goal of helmet is to protect the riders head in case of an accident. In such a case, if the motorcyclist does not use a helmet, it can be fatal. It is not possible for traffic police force to watch every motorcycle and detect the person who is not wearing a helmet.

So we are designing system for Helmet and Number Plate Detection using Raspberry Pi ensures helmet possession by a motorcyclist at all times by capturing a snapshot of the rider’s helmet using Pi Camera and confirming object detection by Yolov8 algorithm technique.

Keywords

Raspberry Pi, Pi Camera, Object Detection, YOLOv8 Algorithm


Citation of this Article

Priti Jagtap, & Prof. Sagar Dhawale. (2025). YOLO Based Approach for Helmet and Number Plate Detection Using Raspberry Pi. International Research Journal of Innovations in Engineering and Technology - IRJIET, 9(3), 337-341. Article DOI https://doi.org/10.47001/IRJIET/2025.903049

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