Underwater Search and Rescue Robot Based on Convolutional Neural Network
- Resource Type
- Conference
- Authors
- Wang, Yifan; Guo, Zichen; Xu, Jiangfeng
- Source
- 2022 IEEE 4th International Conference on Civil Aviation Safety and Information Technology (ICCASIT) Civil Aviation Safety and Information Technology (ICCASIT ), 2022 IEEE 4th International Conference on. :786-790 Oct, 2022
- Subject
- Aerospace
Components, Circuits, Devices and Systems
Robotics and Control Systems
Deep learning
Attitude control
Robot vision systems
Laboratories
Resists
Cameras
Search problems
Underwater robot
deep learning
underwater search and rescue
target detection
- Language
In this paper, a low-cost underwater search and rescue robot is developed, which aims to improve the efficiency of underwater rescue and to solve the problems of high cost and difficult deployment of the mainstream equipment currently on the market. The device uploads search and rescue data to the management and dispatch platform through the 4G module. The search path and area of each robot are set by the management scheduling platform. Use deep learning to process the data collected by the camera to complete the high-precision detection of drowning targets.