Real-Time Automated Basketball Highlight Generation Using YOLO-Based Object Tracking

Addressing the growing need for immediate sports activities analysis and automatic content material, a new smart system detects basketball highlights in real time. This deep studying framework makes use of a custom-trained YOLOv8 model for specific detection and tracking of the basketball. Key capabilities consist of automated camera movement and viewport smoothing, improved by speed-based motion prediction and confidence-aware monitoring. Adaptive stabilization minimizes jitter whilst following the movement. A sliding-window buffer statistics video before and after huge occasions, such as successful shots, to generate entire highlight clips right away. tested on live and recorded footage, the machine operates at real-time pace and dynamically crops videos to a mobile-friendly 9:16 aspect ratio. The consequences demonstrate robust overall performance in automating highlight technology, appreciably decreasing the need for guide enhancing. This enables instantaneous replay creation useful for broadcasting, coaching analysis, and improving fan interaction.