• Vaibhav Sudam Udhane
• Swapnil Nanasaheb Deshmukh
• Vinod Balshiram Pande
• Chaitanya Ashok Waghire
• Prof. V.S. Warake

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.

Image Selection, Extraction, Machine Learning.

"HELMET DETECTION AND NUMBER PLATE RECOGNITION USING MACHINE LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 3, page no.e617-e624, March-2024, Available :http://www.jetir.org/papers/JETIR2403471.pdf

"HELMET DETECTION AND NUMBER PLATE RECOGNITION USING MACHINE LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 3, page no. ppe617-e624, March-2024, Available at : http://www.jetir.org/papers/JETIR2403471.pdf