Road Traffic Sign Recognition and Vehicle Accident Avoidance System

Authors

  • Snehal Lahare  UG Scholar, Department of Computer Engineering, DYPSOET, Pune, Maharashtra, India
  • Ankit Mishra  UG Scholar, Department of Computer Engineering, DYPSOET, Pune, Maharashtra, India
  • Ashish Nair  UG Scholar, Department of Computer Engineering, DYPSOET, Pune, Maharashtra, India
  • Prof. Nutan Borkar  Department of Computer Engineering, DYPSOET, Pune, Maharashtra, India

DOI:

https://doi.org/10.32628/CSEIT2063123

Keywords:

PiCAM, Raspberry Pi, Ultrasonic sensors, Traffic Sign recognition.

Abstract

Traffic sign recognition and vehicle accident avoidance system gets a of interest late by huge scale organizations, e.g., Apple, Google and Volkswagen and so on driven by the market requirements for smart applications, e.g. Automatic Driving and Driver Assistance Systems , Mobile Eye, Mobile Mapping and many more.In this paper, traffic sign recognition and vehicle accident avoidance system is utilized to keep up traffic and maintain a strategic distance from vehicle, caution the occupied drivers, and avoid activities that can lead a vehicle. An on-going programmed sign recognition and detection can support the driver with safety. System propose automated real time system which will capture the traffic sign and show it at driver dashboard with front obstacle exact distance on screen. The PiCam is associated with Raspberry Pi and it is utilized to capture pictures .Screen is utilized to show the system output e.g. appearing of traffic sign and separation of vehicle. This framework is configuration to maintain a strategic distance from vehicle happening on street.

References

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Published

2020-06-30

Issue

Section

Research Articles

How to Cite

[1]
Snehal Lahare, Ankit Mishra, Ashish Nair, Prof. Nutan Borkar, " Road Traffic Sign Recognition and Vehicle Accident Avoidance System" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 6, Issue 3, pp.484-489, May-June-2020. Available at doi : https://doi.org/10.32628/CSEIT2063123