International Research Journal of Innovations in Engineering and Technology - IRJIET International Open Access, Monthly, Peer Reviewed, Reputed Journal ISSN (online): 2581-3048

Impact Factor (2025): 6.9

DOI Prefix: 10.47001/IRJIET

Development of a Driver Assistant and Vehicle Sensory System with Vehicle Fine Management

Abstract

Innovative solutions targeted at improving traffic safety and driver wellbeing have been made possible by developments in computer vision and artificial intelligence. Through the creation of a driver warning and road sign recognition system as well as an enhanced eye health monitoring module, this study offers a holistic strategy to address important aspects of road safety. This project develops a coherent and efficient driver assistance system by integrating real-time image processing, neural networks, and driver behavior assessment using Python and OpenCV.

Country : Sri Lanka

1 Dulanjaya N.K.C.2 Abeysiriwardena V.C.3 Madushanka R.M.R.A.4 Nimesh K.C.5 Mrs. Hansika Mahadikara6 Ms. Suranjini Silva

  1. Faculty of Computing, Sri Lanka Institute of Information Technology, Malabe, Sri Lanka
  2. Faculty of Computing, Sri Lanka Institute of Information Technology, Malabe, Sri Lanka
  3. Faculty of Computing, Sri Lanka Institute of Information Technology, Malabe, Sri Lanka
  4. Faculty of Computing, Sri Lanka Institute of Information Technology, Malabe, Sri Lanka
  5. Faculty of Computing, Sri Lanka Institute of Information Technology, Malabe, Sri Lanka
  6. Faculty of Computing, Sri Lanka Institute of Information Technology, Malabe, Sri Lanka

IRJIET, Volume 7, Issue 10, October 2023 pp. 108-114

doi.org/10.47001/IRJIET/2023.710014

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