Number Plate Detection for No Helmet Riders Using Deep Learning and PaddleOCR

Authors

  • Mrs. N. Sudha Rani Author
  • R. Navya Author
  • Ch. Chandrika Author
  • M. Thirupathi Rao Author

DOI:

https://doi.org/10.62643/ijerst.2026.v22.n2.pp187-192

Keywords:

Deep Learning, Machine learning, Optical Character Recognition

Abstract

Nowadays, avenue injuries are many of the large motives that bring about human loss of life. Among them, a motor bike crash is common and also triggers crucial accidents. Safety helmet is one of the primary defense gadgets for a motor bicyclist. Nonetheless, numerous forestall strolling to comply the law of sporting safety helmet. Right here, to discover the motorcyclists who are breaking the headgear rules, a machine utilizing picture managing and convolution neural network is finished. The device encompass bike discovery, headgear vs. no headgear class similarly to motorcycle license plate acknowledgment. The motorcycles are detected utilizing the characteristic vector HOG. When the motorcycle is located, with the aid of convolution semantic community, it's far recognized whether or not or not the motorcyclist is setting on a protection helmet or in any other case. If the motorcyclist is recognized without helmet, after that the certificate plate of the motorcycle is detected the usage of tesseract Optical Character Recognition.

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Published

02-04-2026

How to Cite

Number Plate Detection for No Helmet Riders Using Deep Learning and PaddleOCR. (2026). International Journal of Engineering Research and Science & Technology, 22(2), 187-192. https://doi.org/10.62643/ijerst.2026.v22.n2.pp187-192