A coal pilferage detection system changes this by combining GPS with activity sensing using sensors — IoT devices that capture the physical signature of an unloading event wherever it occurs.
The Scale of the Problem
Why Pilferage Persists Despite GPS
GPS tracking has been on Indian coal fleets for over a decade. Pilferage rates have not declined proportionally. The reason: GPS tracks location, not action.
Activity sensing using sensors closes this gap. IoT sensor data doesn't depend on GPS connectivity — it captures what physically happens on the truck body regardless of network availability.
How Intugine's System Works
Hardware: Proprietary IAS IoT device fitted to the tipper body. Captures physical activity data continuously. Stores locally if network unavailable.
Activity sensing algorithm: Rolling window analysis classifies each segment as transit, loading, unloading, or idle. Unloading events outside authorised geofences trigger alerts.
Risk scoring: 9-parameter risk score per trip, issued to plant before vehicle arrives.
Control tower: 50+ analysts monitoring 24×7. Alert triage, driver escalation within 2-minute SLA.
Evidence log: Every flagged event creates an immutable record for transporter penalties and legal action.
Deployment Timeline
Week 1: Devices fitted, geofences configured, risk zones mapped. Week 2: Control tower briefed, live monitoring begins. Week 3–4: Full deployment active. Risk scores issuing per trip. Month 2+: Transporter performance data and monthly risk reports accumulating.
ROI: Conservative Calculation
500 trucks/month × 5% pilferage × 25 tonnes × ₹3,500/tonne = ₹21.9 lakh/month saved Platform cost: ~₹40/trip × 500 = ₹20,000/month Net monthly saving: ~₹21.7 lakh. Payback: immediate.
Frequently Asked Questions
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