Computer Vision Approach Based Speed Limit Assistant


DIVARCI S., DEMIR S., URHAN O.

24th Signal Processing and Communication Application Conference (SIU), Zonguldak, Turkey, 16 - 19 May 2016, pp.1405-1408 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Doi Number: 10.1109/siu.2016.7496012
  • City: Zonguldak
  • Country: Turkey
  • Page Numbers: pp.1405-1408

Abstract

In work, a real-time speed limit warning assistant system for drivers is presented. The proposed approach is able to produce optical and acoustic warnings by detecting speed limit signs simply processing captured images via a camera. The system developed can process by up to 7 frame per second on Raspberry Pi 2 single board computer.