I will create real time object tracking and motion analysis computer vision
AI Vision for Smarter Sports Decisions
About this Gig
I will develop a robust AI computer vision system for real-time object tracking, face recognition, and motion analysis. This gig is built for practical use cases where understanding movement, behavior, and spatial dynamics from video is critical.
The system detects and tracks multiple objects or faces simultaneously while maintaining identity consistency across frames. Motion analysis includes trajectory extraction, movement intensity, speed estimation, and directional patterns. The solution is suitable for sports analysis, smart monitoring, automated video analytics, and AI-powered applications.
You can use the system on pre-recorded videos or live camera feeds depending on your requirements and hardware setup. Deliverables may include annotated videos, structured motion data, visual overlays, or integration-ready outputs for your platform or application.
I focus on scalable, production-ready pipelines using proven deep learning models and tracking algorithms. Accuracy, stability, and explainability are prioritized over experimental.
FAQ
Can this handle crowded scenes?
Yes, multi-object tracking is supported.
Do you support sports motion analysis?
Yes, including player movement tracking.
Can I receive raw tracking data?
Yes, CSV or JSON outputs are available.
Is this customizable?
Fully customizable.

