Turn Handball Broadcasts
into Tracking Data
Pivex extracts player positions, ball trajectory, and real-time analytics directly from existing broadcast video — no specialised cameras or sensors required.
Tracking Accuracy
Inference Latency
Player IDs per Frame
FPS Support
Handball is Flying Blind
While football and basketball teams make data-driven decisions every day, handball clubs are still navigating by instinct.
Broadcasts Are Locked
Millions of hours of handball footage exist but yield zero machine-readable data without expensive manual annotation.
Manual Tagging Costs Thousands
Human video analysts charge $500–$2,000 per match. At that rate, a full season of tracking data is simply unaffordable for most clubs.
Enterprise Systems Are Out of Reach
Hawk-Eye and STATS Perform charge $100,000+ per year and require stadium hardware installations — inaccessible to 95% of the market.
Raw Video In. Structured Data Out.
Pivex runs your existing broadcast footage through a computer vision pipeline that automatically identifies every player and the ball — no manual labelling, no new cameras, no installation.
You get frame-level coordinates, velocity vectors, player IDs, and possession events exported as clean JSON or CSV — ready for your analytics dashboard, coaching tool, or research model.
See Pivex in Action
Watch our AI pipeline extract full tracking data from a raw broadcast feed in real time.
Three Steps to Tracking Data
Upload Broadcast
Drop in any standard broadcast .mp4 or stream URL. No special cameras. No hardware. Works with existing footage.
AI Inference
Our YOLOv11 + ByteTrack pipeline detects and tracks every player and the ball, applying homography to map positions onto a 2D pitch.
Export Tracking Data
Receive structured JSON or CSV with frame-level coordinates, player IDs, velocities, and ball events via API or direct download.
Everything You Need
A complete tracking data stack from broadcast video to structured analytics — in a single API call.
Player Tracking
Frame-accurate positions, velocities, and acceleration for every player on the court throughout the entire match.
Ball Tracking
Sub-pixel ball detection with trajectory prediction, shot detection, and possession attribution per player.
2D Pitch Mapping
Homographic projection maps broadcast camera perspective onto a standardised top-down pitch coordinate system.
Real-time Mode
Live streaming inference at under 50ms latency for in-game analytics dashboards and coaching support.
REST API & Export
Consume data as JSON or CSV, or stream via WebSocket. Integrates with any analytics tool or custom dashboard.
Jersey Recognition
Player re-identification across camera cuts using jersey number detection and deep appearance embeddings.
Built on Proven Computer Vision Foundations
We build on the same CV/ML stack used in world-class sports analytics — packaged into a single API call.
Get Tracking Data First
Join the waitlist. We're onboarding our first clubs and analytics teams now.