© DMT Competition
Award-winning Work Information & Description
Work Title
Night Mouse Detection System Based on YOLOv5 and ROS
Category
Intelligent Software & Hardware
Institution
Fujian Normal University
Advisor
Zhang Mei Ping, Zhou Zhao Bin
Team Members
Chen Zuo Zuo, Wang Zuo Luo, Zhang Jian Hui
Award
Second Prize in the National Competition
Year
2022
Description
This work is based on YOLOv5 technology and ROS system, to create a night to identify and detect and drive away the mouse smart car. In terms of hardware, Jetson Nano embedded AI development board, strawberry pie 3B, ESP32 development board, ROS intelligent car, night vision camera and two sensors of sounder and alarm are used. In terms of software, an interactive UI interface designed by PyQt5 technology is used. The web terminal deployed by Flask technology can manually control the car and sensors, and view the camera screen in real time, etc.