Recognition and tracking of moving objects in robot cloud environment
Xu Zhang, Jun Yong Lu, Lin Shi, Yuan Cao · 2024
To reduce the cost of tracking moving targets by robots and enhance the accuracy of target recognition and tracking, a vision-based tracking robot is designed. The onboard camera captures image data, which is initially processed by the ESP32. After processing, the data is transmitted to a cloud environment via a WiFi module. In the cloud environment, a Siamese neural network algorithm is employed to analyze and process the images, and then it sends motion control commands back to the robot, enabling remote control.