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

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.

Country : India

1 Priti Jagtap2 Prof. Sagar Dhawale

  1. Student, Department of Electronics and Telecommunication Engineering, Ajeenkya DY Patil School of Engineering, Lohgaon, Pune, Maharashtra, India
  2. Asst. Professor, Department of Electronics and Telecommunication Engineering, Ajeenkya DY Patil School of Engineering, Lohgaon, Pune, Maharashtra, India

IRJIET, Volume 9, Issue 3, March 2025 pp. 337-341

doi.org/10.47001/IRJIET/2025.903049

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