基于机器视觉的远近光灯切换系统

针对汽车夜间行车时因远近光切换不及时而造成交通事故的问题，设计了一套基于OpenMV 机器视觉模块的汽车远近光灯切换系统。该系统使用Python 语言编程，采用Lab 颜色模型，对采集数据进行图像切割及色块识别，实现对图像的实时处理。场景测试实验证明，该系统具备良好的自适应能力，能实现对远近光灯智能化调节，从而提高驾驶员夜间行驶的安全系数。

Near and Far Light Switching System Based on Machine Vision

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．