AI Offside Correction System

OFFSIDEFENCE

Model OF-C1 / Collar Unit

Don't just detect offside.
Correct it.

Open Source Repo ↗ Join Crowdfunding →
Launch Film / 58s
<200ms
Correction Latency
99.2%
Detection Accuracy
4
Operational Modes
3
Planned Form Factors
Operational Modes

Four Modes. One Mission.

OffsideFence adapts to the context — training ground, competitive match, evolutionary learning, or legacy simulation.

🏃
Training Mode
Full positional awareness with haptic coaching. Builds instinctive offside-line reading through repetition.
Match Mode
Competition-grade latency. Sub-200ms correction signal delivered before the next stride. Invisible to opponents.
🧬
Darwin Mode
Adaptive learning engine. Evolves correction thresholds based on each player's unique movement signature.
🦊
Inzaghi Legacy
Simulation of the tightest offside traps in history. Learn to beat the line the way masters did — then do it legally.
Product Roadmap

From Collar to Platform

Three phases of hardware evolution, each building on the same correction intelligence.

Phase 01
Collar Unit product render
Collar Unit
Foundation hardware. Full-field tactical feedback via neck-mounted haptic rail with biosignal sensing.
Current Platform
Phase 02
Shin Guard Patch visual
Shin Guard Patch
Lighter patch form factor. Same correction logic, lower profile. Mounts directly to shin guard surface.
Next Release
Phase 03
Private Signal Module visual
Private Signal Module
Encrypted, discreet, and minimal. The final form — invisible correction with zero external footprint.
R&D Track
Technology

Roboflow Sports Pipeline

Real-time computer vision architecture built on Roboflow's sports inference infrastructure.

Detection
Player Detection
Multi-player tracking with jersey-number-free identification. YOLOv8 backbone fine-tuned on match footage.
Calibration
Pitch Keypoints
Automatic pitch registration via line intersection detection. No manual calibration required per broadcast angle.
Mapping
Homography Transform
Perspective-to-tactical mapping. Converts pixel coordinates to real-world meter positions in sub-frame time.
Visualization
Tactical Radar
Live bird's-eye radar rendering offside line positions, player heatmaps, and correction events in real time.
Pricing

Simple. Scalable.

Illustrative commercial model for future club deployment.

Per Correction
$0.03
/ offside correction event
Pay-per-use model for lower-league clubs. No commitment. Usage metered via cloud telemetry.
VAR Integration
Coming
Soon
Broadcast-facing integration layer for synchronizing tactical alerts with review workflows and analyst tooling.
Research Preview

See the Campaign in Full

Explore the funding roadmap, reward tiers, and technical worldbuilding behind OffsideFence.

View Crowdfunding Page