Uploaded January 2023 | Updated September 2026, 3 days ago
This project uses the Yolov5s model to recognize the cell phone and the camera tracking it. The camera and motor control used ros2 and "odroid-wiringpi". Using ROS2 and NPU together is the first time in the odroid series.
requirement:
- ubuntu 20.04
- Linux kernel 4.19
- ros2-foxy
- OpenCV (ver. 4.2 or higher)
- Source of the demo: github.com/hardkernel/ros2_yolo_tracking
- ODROID-M1: hardkernel.com/shop/odroid-m1-with-4gbyte-ram
- MIPI camera: hardkernel.com/shop/m1-mipi-csi-camera-kit
- Servos: SG90 x 2
- pan tilt braket x 1
manual:
- refer to the demo's README.md(https://github.com/hardkernel/ros2_yolo_tracking/blob/master/README.md)
This project uses the Yolov5s model to recognize the cell phone and the camera tracking it. The camera and motor control used ros2 and "odroid-wiringpi". Using ROS2 and NPU together is the first time in the odroid series.
requirement:
- ubuntu 20.04
- Linux kernel 4.19
- ros2-foxy
- OpenCV (ver. 4.2 or higher)
- Source of the demo: github.com/hardkernel/ros2_yolo_tracking
- ODROID-M1: hardkernel.com/shop/odroid-m1-with-4gbyte-ram
- MIPI camera: hardkernel.com/shop/m1-mipi-csi-camera-kit
- Servos: SG90 x 2
- pan tilt braket x 1
manual:
- refer to the demo's README.md(https://github.com/hardkernel/ros2_yolo_tracking/blob/master/README.md)










