Helmet Detection and Number Plate Recognition using Machine Learning

“Helmet Detection and Number Plate Recognition using Machine Learning”

Bela Jagtap1, Sujit Sawant 2, Snehal Soundane3, Prashant Gaikwad4, Dipti Survase5

Department of Computer Engineering

Jawahar education Society’s, Institute of technology, Management & Research, Nashik

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Abstract- Motorcycles have always been the primary mode of transportation in developing countries. Motorcycle accidents have increased in recent years. One of the main reasons for fatalities in accidents is that a motorcyclist does not wear a protective helmet. The most common way to ensure that motorcyclists wear a helmet is by traffic police to manually monitor motorcyclists at road junctions or through CCTV footage and to penalize those without a helmet. But it requires human intervention and effort. So this system proposes an automated system for detecting motorcyclists who do not wear a helmet and retrieving their motorcycle number plates from CCTV video footage. First, the system classifies moving objects as motorcycling or non-motorcycling. In the case of a classified motorcyclist, the head portion is located and classified as a helmet or non-helmet. Finally, for the motorcyclist identified without a helmet, the number plate of the motorcycle is detected and the characters on it are extracted by using the OCR algorithm.

Keywords: CCTV, IARC, OCR (Optical Character Recognition), IARC (International Agency of Research on Cancer), CNN (Conventional Neutral Network), CT (Commutate Tomography), YOLO