Optalert: A fatigue management visionary

According to Optalert, the importance of fatigue management measures on roads and in workplaces has been highlighted by its nomination as a finalist in three prestigious road and mining safety awards this year. 

The company has made the finals in the ‘Innovation’ categories for the 2012 Australian Road Safety Awards and the 2012 Australian Mining Prospect Awards and the overall category for the 2012 Australian Latin-American Business Excellence Awards.
 
Optalert lays claim to being the worlds only scientifically validated fatigue management system with its proprietary algorithms having been published by over a dozen leading research institutions from around the world, including Harvard Medical School.
 
Optalert’s acting chief executive, James Walker, says he is excited to be part of a company that has been publicly recognised not only for mitigating the global risks of fatigue related accidents, but for existing as a leader within both the fatigue management space and the technological space.
 
“Being shortlisted for an award amongst the nation’s leaders in these categories is a true testament to the effort the team has put into creating defining factors in the fatigue management space,” Walker said. “Optalert’s information-based approach provides objective information to both operators and management in two areas: Fatigue Risk Management Plans and the current state of alertness of an entire fleet’s drivers in real time. There really is nothing else like it out there in fatigue management.”
 
The finalist announcement follows Optalert’s appearance at MINExpo in Las Vegas, Nevada, the premier exposition of mining equipment and services in the world. Optalert displayed its innovative Iris software which allows workforce managers to monitor in real time the awareness levels of their entire fleet of operators in an attempt to mitigate the risks of fatigue related accidents.
 
At the expo, Optalert also gave visitors the opportunity to try on the Optalert glasses which objectively measure the movements of the eye and eyelid 500 times a second to predict drowsiness at least 30 minutes prior to the operator feeling the effects.

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