Recognition and tracking of moving objects in robot cloud environment

Xu Zhang; Jun Lu; Lin Shi; Yuan Cao

doi:10.1117/12.3028968

22 May 2024 Recognition and tracking of moving objects in robot cloud environment

Xu Zhang, Jun Lu, Lin Shi, Yuan Cao

Proceedings Volume 13176, Fourth International Conference on Machine Learning and Computer Application (ICMLCA 2023); 1317633 (2024) https://doi.org/10.1117/12.3028968
Event: Fourth International Conference on Machine Learning and Computer Application (ICMLCA 2023), 2023, Hangzhou, China

Abstract

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.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Xu Zhang, Jun Lu, Lin Shi, and Yuan Cao "Recognition and tracking of moving objects in robot cloud environment", Proc. SPIE 13176, Fourth International Conference on Machine Learning and Computer Application (ICMLCA 2023), 1317633 (22 May 2024); https://doi.org/10.1117/12.3028968

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available