计算机与现代化 ›› 2023, Vol. 0 ›› Issue (04): 101-105.

• 网络与通信 • 上一篇    下一篇

基于机器视觉的智慧交通灯控制系统

  

  1. (江西科技师范大学通信与电子学院,江西 南昌 330013)
  • 出版日期:2023-05-09 发布日期:2023-05-09
  • 作者简介:郭之栋(1999—),男,河南商水人,本科生,研究方向:人工智能,机器视觉,E-mail: 805947293@qq.com; 刘筠(1999—),男,本科生,研究方向:人工智能,机器视觉,E-mail: 1911169048@qq.com; 杨凡(1982—),男,教授,博士,研究方向:机器视觉,人工智能,E-mail: 57364387@qq.com; 周昕(1985—),男,讲师,博士,研究方向:机器视觉,人工智能,E-mail: 57364387@qq.com; 陈亮亮(1982—),女,讲师,硕士,研究方向:机器视觉,电子信息,E-mail: 38295162@qq.com。
  • 基金资助:
    国家自然科学基金资助项目(62163017); 江西省教育厅科学技术研究项目(GJJ211111); 江西科技师范大学大学生创新训练项目(20211504080)

Intelligent Traffic Light Control System Based on Machine Vision

  1. (School of Communication and Electronics, Jiangxi Science and Technology Normal University, Nanchang 330013, China)
  • Online:2023-05-09 Published:2023-05-09

摘要: 为了准确、灵活、高效地完成实时交通灯指挥任务,引入机器视觉,设计一套基于机器视觉的智慧交通灯控制系统,来满足现阶段城市道路交通灯智能化所需。本系统采用OV2640摄像头对道路情况进行拍摄,采集图像信息,接着对采集到的数据进行存储,再基于视觉处理中的YOLO (You Only Look Once)系列算法对数据中道路情况进行实时识别,然后把识别的结果传送到配时模块,最后获得最为及时的数据及时处理作用在交通灯上,并在仿真中取得了较好的效果,进一步推动智慧交通系统的应用。

关键词: 机器视觉, 目标检测, 配时算法, 智慧交通灯

Abstract: In order to complete the real-time traffic light command task accurately, flexibly and efficiently, machine vision is introduced to design a set of intelligent traffic light control system based on machine vision to meet the needs of intelligent urban road traffic lights at this stage. The system uses OV2640 camera to take pictures of the road conditions, collect image information, and store the collected data. Then, based on the series of algorithms YOLO (You Only Look Once) in visual processing, it carries out real-time recognition of the road conditions in the data, and transmits the recognition results to the timing module. Finally, it obtains the most timely data and processes it on the traffic lights in time, and has achieved good results in the simulation, further promoting the application of intelligent transportation system.

Key words: machine vision, target detection, timing algorithm, intelligent traffic light