About this document
Detecting The Shuttlecock For A Badmi by Adil Nabih is a document available to read on EtoBox.
This paper presents a novel approach for detecting shuttlecocks in real-time for a badminton robot using modified versions of the Tiny YOLOv2 deep learning model. The authors propose two networks, M-YOLOv2 and YOLOBR, which enhance detection speed and accuracy for small, fast-moving objects like shuttlecocks in complex environments. Experimental results demonstrate that these networks outperform existing state-of-the-art detectors in both accuracy and computational efficiency.
- Author
- Adil Nabih
- Language
- EN