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ISSN 2063-5346
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USING MACHINE LEARNING TO IDENTIFY HELMET DETECTION AND AUTOMATIC LICENSE PLATE RECOGINATION

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Mrs. B. Laxmi, Likhita Goga, Shyamili Akumarthi, Saileela Digulla
» doi: 10.31838/ecb/2023.12.s3.296

Abstract

As a result of variations in social, economic, and transportation environments, the number of motorcycle accidents has increased worldwide throughout the years. Motorcycles are a popular mode of transportation among those in the middle class. The main purpose of a helmet is to protect the driver's head in the event of an accident or fall from a bike. To ensure road safety, a mechanism for the automatic identification of helmet use must be developed. A machine learning-based technique is used to construct a detection model that can identify helmetless motorcycle riders. When a rider without a helmet is spotted, the licence plate is retrieved, and an optical character recognition is used to read the licence plate number. With a webcam or a CCTV as input, this application can be used in real-time.

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