Driver Fatigue & Distraction Solution
Guardian has been scientifically proven to reduce fatigue events by more than 90%
Combine the fleet management system from FleetLogix and the Guardian driver fatigue and distraction awareness system from Seeing Machines to get the ultimate tool for managing distracted and tired drivers.
Powered by AI, Guardian monitors a driver’s face and eyes to determine alertness, wakefulness and attentiveness, intervening in case of unsafe driving behaviour.
Guardian combines in-cab intervention with 24/7 support and analytics services, providing a complete safety solution for commercial vehicles. Today Guardian has intervened in more than 50,000 fatigue and distraction events and is used by more than 400 companies globally.
World Class Technology
24/7 Protection
Guardian uses proprietary face and eye tracking algorithms to measure a driver’s eye closure and head position to determine whether they are fatigued or distracted.
24/7 Guardian Analysis Centre
When Guardian detects an event, footage is immediately sent to the 24/7 Guardian Center to be reviewed by our team of specialists, who will notify the driver’s manager within minutes. With Guardian, fleet managers can respond in real-time to fatigued and distracted driving to help reduce the risk of an accident
Real-time intervention
Guardian's driver fatigue software provides immediate intervention to the driver when fatigue or distraction starts to take hold. Audio alarms and seat vibration alerts are activated instantaneously to warn the driver to re-focus their attention to the road.
Highlighted Case Study
Ron Finemore Transport
"Guardian technology has proved extremely reliable, accurate… and we have been able to revise operational practice as risk mitigation. It continues to be a very valuable tool in our day to day business.” Darren Wood, General Manager, Ron Finemore Transport.
Ron Finemore Transport (RFT) specialises in line-haul and inter-city freight solutions in Australia across four major divisions: general freight, liquid freight, temperature-controlled freight and bulk freight. Established in 2004, the company now employs more than 450 people, keeps a fleet of more than 225 prime movers on the road, and covers upwards of 50 million kilometers annually.
Key Details:
CLIENT PROBLEM
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Fleet of 225 covers 50 million kilometres annually
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RFT aims to lead the way for safety in road transport
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Frequent reports of driver fatigue incidents on the road
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Management required real-time data to substantiate claims of driver fatigue
CLIENT OUTCOME
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Guardian proved “extremely reliable and accurate”
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Real-time feedback notifies management of fatigue events as they occur
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Management can now act on substantiated reports rather than anecdotal evidence
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Guardian aids RFT to reduce the risk of fatigue or distraction and helps develop effective fatigue management strategies
Trusted by the safest companies in the business
Intelligent Data
Our deep-learning algorithms rely on billions of kilometres of naturalistic data to assist fleets in reducing fatigue and distraction related dangers. Event footage is de-identified and annotated by humans to inform future product development of our solution as we continue innovating ahead of the market. While Guardian makes significant, lasting changes to road safety, we strive to achieve a new level of excellence through application of the most sophisticated driver monitoring technology and industry best practices, to deliver life-saving technology to fleets who are serious about safety.
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The most advanced safety
technology for commercial fleets
Powered by AI, Guardian monitors a driver's face and eyes to determine alertness, wakeulness and attentiveness, intervening in case of unsafe driving behaviour
Compliant In TheSE Industry STANDARDS
Our clientele encompasses major industry players such as BHP, Rio Tinto, Future Generation and Santos. Additionally, we are aligned with safety initiatives like Safer Together within the Queensland Natural Gas Exploration and Production Industry, as well as projects like Snowy Hydro 2.0 and Origin.
