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Edge AI
Computer Vision
ANPR
Sovereign Infrastructure

Sovereign Mining Detection & ANPR System

State Mining Departments

How a fully edge-deployed dual-camera barricade monitoring system utilizing YOLOv4-Tiny, DeepSORT, and PaddleOCR interdicts illegal mineral transits offline.

Tech Stack

YOLOv4-TinyDeepSORTPaddleOCRPython BackendEdge ComputeLocal DB

Process Visualization

Process Visualization

The Challenge

State checkpoints in remote highway locations faced high rates of unauthorized mineral transportation, permit mismatch fraud, and illegal over-loading. Constant power fluctuations and lack of stable internet connectivity made cloud-based computer vision APIs unusable. The client required a completely offline, sovereign edge system that acts in real-time.

Unreliable network connectivity at remote forest and highway checkpoints
High volume of vehicles carrying illicit or permit-mismatched mineral types
Manual vehicle plate recording causing massive congestion and human tracking errors
Sovereign data mandates preventing external data transmission to third-party APIs

The Solution

We deployed a dual-camera edge computer vision pipeline. One specialized camera analyzes cargo/mineral types, while a high-speed camera performs License Plate Recognition (ANPR). All processing runs locally on secure hardware.

Mineral type recognition powered by YOLOv4-Tiny for real-time cargo categorization
Localized PaddleOCR and DeepSORT vehicle license tracking and matching
On-premise decision engine correlating vehicle permit data with detected cargo
Instant local barricade auto-alerts triggering on mismatched loads

Implementation

1

Site survey, camera placement calibration, and rugged enclosure setup

2

Model optimization for edge deployment under strict power limits

3

Integration of the decision engine with local offline transit database syncs

4

Barricade physical system integration and alert testing

5

Field training and continuous localized model tuning

Impact & Results

Operational Impact

  • 98% successful illegal load interdiction rate at checked barricades
  • 100% offline edge inference ensuring zero network failure delays
  • Automated license plate extraction under 200 milliseconds per vehicle

Business Impact

  • Recovered substantial tax revenue by stopping illegal mining mineral transport
  • Eliminated checkpoint inspector bias and manual cataloging discrepancies
  • Completely automated traffic logs and audit trail database creation

Strategic Impact

  • Sovereign state infrastructure protecting natural mineral assets
  • Reusable, rugged edge computer vision template for other remote checkpoints
  • Complete local custody of state transportation and logistics logs

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