Journal of Jilin University (Information Science Edition) ›› 2018, Vol. 36 ›› Issue (6): 615-619.

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Near and Far Light Switching System Based on Machine Vision

LI Suen,SHU Ying,GUO Tieying,SHI Junhao,ZHAO Zhangtai   

  1. College of Communication Engineering,Jilin University,Changchun 130022,China
  • Online:2018-11-23 Published:2019-02-15

Abstract: Aiming at the problem of traffic accident caused by the far and near light switching in the car at night,a switching system of automobile near and far light based on OpenMV machine Vision module is designed,which is programmed using Python language,and lab color model to make image cutting and color block recognition for collecting data. The real-time processing of the image is realized. The experimental results show that the system has good self-adaptive ability,can realize the intelligent regulation to the near and far light lamp,and improve the safety factor of driver's night driving.

Key words: near and far light switch, machine vision, real-time processing

CLC Number: 

  • TP206