Helmet and Number Plate Detection Using ML

EasyChair Preprint no. 12342

Abstract

Motorcycles have always been the main means of

transportation in developing countries. Motorcycle accidents

have increased in recent years. One of the causes of fatal

accidents is that cyclists do not wear protective helmets. The

best way to ensure that cyclists wear helmets is for traffic

police to monitor cyclists at intersections or via radio

recording and penalize drivers who do not wear helmets. But

this requires human intervention and effort. The system

announced an automatic system to detect cyclists not wearing

helmets and a system to obtain motorcycle licenses from

CCTV footage. First, the system classifies moving objects as

motorcycles or non-motorcycles. To classify motorcycle

drivers, they are placed on the head and classified as having a

helmet or without a helmet. Finally, the identity of the driver

who was not wearing a helmet was determined.

Keyphrases: CNN is used, Ml Algorithms used, Python language is used

@Booklet{EasyChair:12342,
  author = {Chitikela Kushal Chandra Srinivas and Bilalkhan R Pathan},
  title = {Helmet and Number Plate Detection Using ML},
  howpublished = {EasyChair Preprint no. 12342},

  year = {EasyChair, 2024}}