Mining Cargo Theft Prevention India — GPS + Activity Sensing

India's mining sector loses thousands of crores annually to in-transit cargo theft — and most of it goes undetected until the truck is at the weighbridge.

The problem is not GPS coverage. Most fleets have basic GPS. The problem is that GPS alone cannot tell you what happened at a halt. A truck stopped for 45 minutes on NH-23 could be in traffic, at a dhaba — or offloading two tonnes of coal into a waiting tractor-trolley.

Only activity sensing using sensors can tell the difference.

Why Standard GPS Fails

Basic GPS gives you location, route deviation alerts, and halt notifications. What it cannot tell you is whether physical unloading activity occurred during any halt. The result: zero evidence trail. 100% of disputes are unresolvable without ground truth sensor data.

The Four Theft Vectors in Indian Mining Logistics

1. Unauthorized Mid-Route Unloading: Driver stops at a pre-arranged point and tips 2–5 tonnes. Without an IoT activity sensing device, this looks identical to a normal halt on GPS.

2. Route Deviation: Trucks deviate to corridors with established grey market buyers for coal, iron ore, and bauxite.

3. Red-Zone Halts: Extended stops near quarries, market areas, or known aggregation points that go unreviewed without a control tower.

4. GPS Tampering: Driver removes device or switches off phone to create a blind spot — itself a 70% risk flag.

How Activity Sensing Using Sensors Closes the Gap

Intugine's IoT device captures physical activity data from the truck body continuously. The platform analyses sensor data using a rolling window algorithm to classify each halt as transit, loading, unloading, or idle. An unloading event outside an authorised location triggers an immediate alert.

The 9-Parameter Risk Score

Pilferage rate drops within 30–45 days as driver behaviour changes when IoT sensor monitoring is active.