HELMET DETECTION AND LICENSE PLATE RECOGNITION
Journal: International Journal of Computer Science and Mobile Computing - IJCSMC (Vol.10, No. 4)Publication Date: 2021-04-30
Authors : Thirunavukkarasu.M; Bugade Amoolya; Bulusu Vyagari Vaishnavi;
Page : 90-98
Keywords : Helmet Detection; Convolutional Neural Network; Tesseract OCR; License Plate Extraction;
Abstract
Nowadays, road accidents are one of the major causes that lead to human death. Motorbike accidents can cause severe injuries. The helmet is important for every motorcyclist. However, many fail to conform to the law of wearing helmets. Here is the software using CNN, to recognize the motorbike drivers who are not obeying the helmet law. The system consists of motorbike detection, helmet vs no helmet classification, and motorbike license plate recognition. The motorbikes are scanned using the feature vector HOG. Once the motorbike is detected, by CNN, it identifies whether the motorcyclist is wearing a helmet or not. If the motorcyclist is identified as not having a helmet, then the license plate of the motorcycle is detected using Tesseract OCR.
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Last modified: 2021-04-20 18:10:58