The hidden cost of false alerts in fleet security
A human detection alert is only as useful as the trust behind it. When one comes through, whether to the driver in the cab or the team in the transport office, someone has only seconds to decide whether it's a false positive or a genuine alert that needs attention.
If the last ten alerts were a shifting load, a swaying strap or headlights across the cargo door, it's natural to assume this one is a false positive too. That moment of hesitation can cost valuable time.
The real cost of a false alert
Alert fatigue is what happens when people see so many false alarms that they stop reacting to them. The term originated in hospitals, where staff learned to tune out beeping monitors, but it happens anywhere humans are relied on to respond to alerts. In a fleet, it shows up as:
- Slower responses: Teams used to false alerts take longer to react, giving a genuine incident more time to unfold.
- Ignored alerts: Notifications get muted or dismissed without a proper look.
- Lost confidence: Drivers and managers begin to see the system as noise rather than protection.
If a transport office or driver has learned to shrug at alerts, the one that matters gets the same shrug.
Why not all detection can be trusted
Conventional motion-triggered cameras can be set off by any movement in view, whatever caused it. On a working vehicle, almost everything moves. Loads shift, straps flap, doors rattle, and headlights, rain and shadows sweep across the camera at every junction.
AI isn't automatically the answer either. An AI human detection algorithm is only as good as its development and training, and a poorly built model can still mistake a reflection or loose packaging for a person. That still leads to false alerts and a team that gradually stops trusting them.
This is where we stand apart. Our AI human detection is 97.5% accurate, so when an alert comes through, the driver and transport office can be confident they're looking at a person.
Trusted alerts in practice at the Co-op
The Co-op's delivery fleet was being targeted by criminals who jumped onto the back of vehicles at traffic lights and junctions, broke the locks and escaped with stock, often without the driver knowing.
Bigger locks risked pushing the danger onto drivers, so the Co-op moved to a detect-and-deter strategy using our AI human detection. Now the driver and transport office are notified at the same time and can react in real time.
For Mike Ball, the Co-op's National Risk Lead, the difference comes down to trust:
"What I value most about VUE's AI camera capabilities is the reduction in false notifications. When we get a notification and see human movement, the AI algorithm ensures the transport team reacts immediately, because they know it's a positive identification of a real incident."
What trusted alerts change
When people believe an alert, they respond with conviction. The transport team can act the moment an alert arrives, and a driver who knows someone is in the back can make a safe decision instead of carrying on unaware. Mike says Co-op drivers now feel supported on the road, and with thieves spotted quickly and given less time to work, the Co-op has seen incidents come down.
Fewer alerts, better security
More alerts don't mean more security. What protects a fleet is an alert people trust enough to act on straight away. By recognising people rather than reacting to every movement, our AI human detection cuts out the noise behind alert fatigue, so drivers and transport teams can act on every alert with confidence.