Farm machinery theft
Organised gangs target quad bikes, tractors and removable GPS units from farmyards at night, increasingly using signal jammers to defeat trackers, so the theft is discovered next morning.




No alert — yard quiet, machinery parked.
Nothing wakes. Only the nanopower domain and the PIR are drawing.
Radar flags a vehicle entering the yard at an unusual hour. The local model clears the farm cat and the farmer going about evening work; an unfamiliar vehicle with people at the machinery is escalated, and Gen AI confirms loading of a quad or removal of a GPS dome, alerting with the vehicle in frame, independent of any tracker.
- Wake
- PIR wakes the camera; radar confirms a vehicle-sized target entering the yard
- Schedule
- No timed captures. Heartbeat every 12 hours. IR at night.
- On the camera
- Radar drops the farm cat. Edge AI drops frames with no unfamiliar vehicle.
- Your criterion
Is any vehicle in the yard that is not the farm's own? Is anyone loading the quad bike or removing equipment from the tractor?
Written in plain English. The model reads every escalated frame against it.- Alert rule
ai.unfamiliar_vehicle AND (ai.machinery_being_loaded OR ai.equipment_removed) · no hold-off · acknowledgement required- Who is told
- SMS and push to the farmer; push to the rural crime team.
- Evidence kept
- Escalated frames kept with the vehicle in frame; works independently of any tracker.
Unfamiliar van, side door open, two hooded figures pushing the quad bike up a ramp, a third carrying the GPS dome from the tractor roof.
A readable account of what triggered it, with the frame attached. No feed to watch, no captures to trawl through.
Quad and ATV theft up 31% to £3.5m, agricultural vehicles up 18% to £8.3m; GPS thefts spiking again, gangs using jammers (2026)