100% Optical Finish-Line Intelligence · Camera-Only

RFID-Free. Mat-Free. Pure Optical Timing.

Camera-only race timing with high-speed bib OCR and optical frame analysis - deployed from a single tripod at the finish line without chips, mats or cables.

  • Camera-Only 100% RFID-free & mat-free
  • Chips & Mats Required 0&0 standard printed bibs
  • Bib Recognition Latency <50ms on-device edge processing
  • Optical Accuracy 99.8% frame-by-frame OCR

Operational comparison

Legacy chip & mat timing vs. Vision Miles.

What changes for race directors when timing goes RFID-free and mat-free.

Operational Dimension Legacy RFID Chip & Mat Systems Chkdin Vision Miles RFID-free · mat-free
Ground Setup LegacyHeavy rubber mats, cable ramps, generator wiring, antenna arches Vision MilesZero mats. Single tripod edge node mount
Hardware Overhead Legacy10,000+ single-use RFID chips attached to bibs Vision MilesZero chips. Works with standard printed bibs
Trip Hazards & Logistics LegacyHigh risk of runners tripping over rubber timing mats Vision Miles100% barrier-free finish line corridor
Simultaneous Density LegacySignal collision and missed chip reads in dense pack finishes Vision Miles100% frame-by-frame optical OCR verification
Data Security & Processing LegacyPost-race cloud uploads and manual chip reconciling Vision MilesSub-50ms on-device edge processing

Concrete scenarios

From city streets to garrison tracks.

Use case 01

City Marathons & Mass-Participation Sport

The challenge

Distributing 30,000+ single-use RFID chips, setting up bulky timing mats across wide avenues, and dealing with missed reads during cluster finishes.

The solution

A rapid-deploy Vision Miles optical camera tripod that reads bibs at 120 FPS across an open street - RFID-free, mat-free, with zero chip distribution logistics.

Use case 02

High-Density Stadium Track Events

The challenge

Millisecond accuracy requirements where physical mats interfere with track surfaces.

The solution

Ultra-high frame rate optical timestamping linked directly to localized edge nodes for instant scoreboard feed sync - RFID-free and mat-free.

Use case 03

Tactical Military Fitness Trials

The challenge

Mandatory group endurance runs inside secure, air-gapped garrisons without cloud dependencies or external equipment setup.

The solution

100% air-gapped, RFID-free and mat-free optical timing that processes runner identity and completion times entirely inside local RAM.

Technical architecture

How optical timing works.

A Proprietary Optical Frame-Analysis Pipeline on the On-Board Edge AI Accelerator Tier - RFID-free, mat-free and fully on-device.

  1. 01

    Multi-Frame Ingestion

    Ingests high-speed video up to 120 FPS with real-time shutter stabilization.

  2. 02

    Neural Bib OCR Tier

    High-Speed Neural Bib OCR Engine recognizes dirty, folded or obscured bib numbers in extreme rain, dusk or direct sunlight.

  3. 03

    Spatial Trajectory Matching

    Tracks runner motion vectors to establish the exact timestamp the bib vector breaks the finish threshold.

  4. 04

    Zero Disk Footprint Security

    Video streams are processed in volatile RAM with zero persistent video logging - privacy by design.

Rain#2716 ✓
Folded#5083 ✓
Dusk#6640 ✓
Direct sun#9152 ✓

FAQ

Vision Miles, answered.

How does Vision Miles time a race without chips or mats?

Vision Miles is RFID-free and mat-free. A single tripod-mounted edge node at the finish line reads standard printed bibs with high-speed neural bib OCR at up to 120 FPS and timestamps each runner as their bib crosses the finish threshold.

Can Vision Miles read dirty, folded or partly hidden bibs?

Yes. The neural bib OCR tier is built to recognize dirty, folded or obscured bib numbers in rain, dusk or direct sunlight.

Does Vision Miles need internet at the finish line?

No. Frames are processed on-device in under 50 ms, so Vision Miles can run fully air-gapped - including inside secure military garrisons.

Is race video stored?

No. Video streams are processed in volatile memory with zero persistent video logging.