PlaySense — AI Sports Analytics
Mahmut Düzen
PlaySense — AI Sports Analytics & Player Tracking
Computer vision platform that autonomously tracks football players and generates performance analytics from amateur match footage.
Technical capabilities:
Multi-camera video stitching and synchronization
Real-time player detection and tracking with YOLOv8 + DeepSORT
Action recognition pipelines for pass, shot, and tackle detection
Player heatmap generation and distance metrics
OCR-based jersey number recognition for player identification
Solved real-world challenges: occlusion handling, jersey similarity, motion blur
Stack: Python, PyTorch, TensorFlow, OpenCV, YOLOv8, DeepSORT, FastAPI, PostgreSQL, MongoDB, Docker.
Role: Computer vision engineer. Designed video intelligence pipelines, implemented detection and tracking algorithms, developed analytics outputs.
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Posted May 17, 2026
PlaySense — AI Sports Analytics & Player Tracking Computer vision platform that autonomously tracks football players and generates performance analytics from...
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Timeline
Mar 1, 2025 - Jul 1, 2026
