Helmet Detection and Number Plate Detection

Registration ID: IJNRD_205310

Published ID: IJNRD2309148

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Abhishek Chauhan, Ritu

Helmet detection and number plate detection are two important tasks in the field of computer vision with various applications in the areas of road safety, law enforcement, and intelligent transportation systems. Helmet detection involves detecting the presence or absence of helmets worn by motorcyclists, which can help prevent accidents and reduce the risk of head injuries. On the other hand, number plate detection involves recognizing and localizing the license plates of vehicles, which is essential for identifying and tracking vehicles for various purposes, such as toll collection and traffic law enforcement. Deep learning methods have demonstrated encouraging outcomes in tasks involving the detection of helmets and number plates. However, the accuracy and robustness of these methods still need to be improved to address real-world challenges such as varying lighting conditions, occlusions, and complex backgrounds. This abstract provides an overview of the importance of helmet detection and number plate detection, and highlights the potential of deep learning-based approaches for solving these tasks.

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Abhishek Chauhan & Ritu (September-2023). Helmet Detection and Number Plate Detection. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(9), b403-b412. https://ijnrd.org/papers/IJNRD2309148.pdf

Volume 8 Issue 9, September-2023

Pages : b403-b412

Paper Reg. ID: IJNRD_205310

Published Paper Id: IJNRD2309148

Research Area: Computer Science & Technology 

Author Type: Indian Author

Country: Rohtak, Haryana, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2309148.pdf

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