
I graduated from the Graduate Institute of Communication Engineering at National Chung Hsing University, focusing primarily on image-related research. I participated in the cow action detection project. My expertise includes artificial intelligence, and action detection.
Embedding System
Using Raspberry Pi and Arduino(ROS) platforms, combined with Open CV and Yolo technology to detect people and balloons, and control the movement of the vehicle by using bluetooth
Cow action detection
- Use video to detect cow's behavior.
- Used YOLOv8 to detect objects on a selected frame from a video sequence.
- Use Slowfast model to extract spatio-temporal features.
- Achieved high accuracy in recognizing common cow behaviors.
Languages: Python, C/COS: UbuntuMachine Learning Frameworks: PyTorchComputer Vision Libraries: Open CV