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Driver Behaviour Monitoring for Enhanced Transport Safety

Driver Behaviour Monitoring for Enhanced Transport Safety

By integrating cameras, sensors, and deep learning, this new driver behaviour monitoring solution boosts safety and reduces incidents at a trucking company by 30%.

Industry:

Logistics & transportation

200+ trucks

connected to the system

30% fewer safety incidents

within the first six months

The challenge:

no driver behaviour monitoring & truck operator support

In industries relying on heavy vehicles, driver behaviour is a critical factor in ensuring safety for both operators and nearby workers.

A mid-sized logistics firm managing over 200 trucks across England and Wales faced rising concerns over driver and worker safety. Incidents involving unnecessarily risky behaviours—such as distracted driving and improper vehicle handling—had led to accidents and near-misses, increasing liability costs and harming employee morale.

Moreover, truck operators hoped for additional manoeuvre support for operations like reversing, parking, and unloading– all of which can be tricky with workers around.

Despite regular safety training sessions, the company struggled to monitor and enforce safe practices across its fleet consistently.

As the issue was getting out of hand, damaging the company’s reputation, its leadership decided to investigate technological solutions to this challenge.

Evaluating available options

Initial solutions involved manual inspections and random audits of in-cabin cameras. However, this method was reactive and could not address real-time issues.

GPS systems provided some insights into speeding but could not capture nuanced behaviours like distraction or unsafe manoeuvres.

Advanced technologies like AI-enabled video analysis and sensor integration emerged as potential solutions, promising real-time detection and intervention. However, alone, they couldn’t deliver the required level of behaviour supervision and truck operator support.

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