摘要
针对停车场乱停乱摆导致停车场管理难、效率低和人工成本高等问题,该文设计了以XC7S50为主控器的小区停车场巡视机器人。该机器人利用摄像头采集车牌信息后进行车牌识别,并将识别结果发送给上位机;通过霍尔编码器接收到的距离值对机器人底盘PID进行调整;该机器人针对复杂环境进行自适应光照补偿,并对车牌识别算法进行改进,提出M×N维算法,有效降低字符维数,提高了车牌识别精度与速度。经过实验验证了该机器人能够灵活地对停车场车辆进行识别追踪,从而真正实现对停车场的无人管理。
In view of the problems of parking management,low efficiency and high labor cost caused by parking disorder,the XC7S50-based inspection robot is designed in this paper.The robot uses the camera to collect the license plate information,then carries on the license plate recognition,and sends the recognition result to the upper computer,adjusts the robot chassis PID through the distance value received by Houle encoder;The robot compensates the illumination adaptively in the complex environment,improves the license plate recognition algorithm,proposes the M×N dimension algorithm to reduce the character dimension effectively,enhances the license plate recognition precision and the speed. The experimental results show that the robot can flexibly identify and track the vehicles in the parking lot,thus realizing the unmanned management of the parking lot.
作者
朱颖
吴钰鑫
梁舒杰
朱珍妮
ZHU Ying;WU Yuxin;LIANG Shujie;ZHU Zhenni(Huali College Guangdong University of Technology,Guangzhou 511325,China)
出处
《电子设计工程》
2022年第16期107-111,共5页
Electronic Design Engineering
基金
2019年广东省大学生创新训练项目(S201913656025)
粤教高函[2020]20号广东省高等教育教学改革项目。
关键词
FPGA
光照补偿
字符识别
M×N维算法
FPGA
light compensation
haracter recognition
M×N dimension algorithm
