巡逻机器人的图像采集与处理技术研究

Research on Image Acquisition and Processing Technology of Patrol Robot

针对固定摄像头无法移动监控的问题,设计了一款基于图像采集与处理技术的巡视机器人。通过安装在机器人上的摄像头可以对监控区域进行实时的监测,实现对运动目标识别并追踪。论文使用COMS传感器的摄像头来实现图像采集,使用Python语言对图像灰度变换、滤波等算法的调试,还用到了Opencv中功能丰富的函数库。最终实现图像快速分析,并可以实现目标的匹配任务,从而提高了移动目标跟踪的可靠性。

Aiming at the problem that the fixed camera can't move and monitor,a patrol robot based on image acquisition and processing technology is designed.Through the camera installed on the robot,the monitoring area can be monitored in real time,and the moving target can be recognized and tracked.This paper uses the camera of COMS sensor to realize image acquisition,uses Python language to debug image gray transformation,filtering and other algorithms,and uses the function library with rich functions in Opencv.Finally,fast image analysis and target matching can be realized,which improves the reliability of moving target tracking.