Activity Sensing for Mining Trucks South Africa — How IAS Detects Pilferage

Activity sensing is the technology that closes the gap GPS cannot. On South African mining corridors — where bulk commodity pilferage is systematic and GPS monitoring has failed to reduce theft — activity sensing using IoT sensors provides the detection layer that actually catches pilferage in progress.

What the IAS Module Does

The IAS (Intugine Activity Sensing) module is an IoT device mounted on the truck body. It captures physical activity data from the vehicle using sensors continuously throughout the journey.

A rolling window algorithm processes this data in real time, classifying each time segment as:

Transit — vehicle in motion

Loading halt — sensor signature consistent with material being loaded onto the truck

Unloading halt — sensor signature consistent with material being discharged

Idle halt — vehicle stopped, no significant physical activity

When an unloading halt is detected outside an authorised plant or depot geofence, an alert fires immediately to the control tower.

How It Applies to South African Mining Corridors

Coal corridors (Mpumalanga): Partial discharge at prearranged stops near informal coal buyers on the N4, N11, R545 is detectable within minutes of occurrence. Control tower analyst places driver call. Evidence preserved.

Chrome corridors (Steelpoort/Limpopo): Short-haul corridors where GPS event windows are brief. Activity sensing provides continuous monitoring regardless of trip duration — catching events that GPS halt analysis would miss on 40-minute hauls.

PGM concentrate: Any physical displacement of concentrate from the truck body triggers a high-confidence alert — even partial amounts. Combined with 10-second GPS updates, provides real-time evidence for high-value load protection.

Iron ore and manganese: Long Northern Cape and Limpopo corridors with network black spots. Offline data storage ensures no blind spots — all activity events reconstructable after connectivity restoration.

Confidence Scoring

Not every sensor event is a pilferage event. The IAS algorithm assigns a confidence score (0–100) to every classification:

80–100: Automatic alert. Control tower reviews within 2 minutes.

50–79: Analyst review triggered. No automatic action until human confirmation.

Below 50: Logged in trip record. Available for pattern analysis but no alert.

This prevents alert fatigue — a critical issue on high-volume South African mining corridors where hundreds of trucks operate simultaneously.

Offline Performance in Remote South African Corridors

Limpopo, Northern Cape, and parts of North West and Mpumalanga have significant mobile network gaps. The IAS module stores all sensor data and GPS positions locally with accurate local timestamps when offline. Data syncs automatically when connectivity resumes — ensuring complete event reconstruction with no blind spots.