WORLD LEADING DROWSINESS & ALERTNESS DETECTION COMPANY, OPTALERT LAUNCHES DROWSINESS DETECTION VALIDATION SERVICE
Tuesday, 27 April 2021
Optalert, the world’s leader in drowsiness and alertness detection, today launched its Drowsiness Detection Validation Service to enable drowsiness monitoring systems providers assess their solutions against scientifically validated measures based on sensitive physiological markers.
“We have had a number of providers assess their solutions for drowsiness detection in the automotive industry. The introduction of this capability into Driver Monitoring Systems (DMS) as specified by the Euro NCAP program is an excellent safety initiative and our new service enables providers to quickly assess, verify and receive recommendations for their solutions,” said Scott Coles, Optalert Global CEO. “The European Commission is moving to legislate the validation of Driver Monitoring Systems. We know that the best automotive manufacturers will seek to outperform the minimum required standards of this legislation. Our service will enable providers to understand whether their solution can do just that.”
“The solutions that are being developed in this space are often based on machine learning. To verify them against real physiological data gives both DMS developers and their customers, the automotive manufacturers, an even greater sense of confidence that the drowsiness systems provided will be accurate,” he added.
Within the realm of drowsiness, there are physiological anomalies such as the vacant stare which are not necessarily detected by subjective or other non-physiological measures. The vacant stare occurs when the driver is operating the vehicle in an exhausted state and the brain is no longer processing inputs from the optic nerve despite the eyes being wide open. Other such physiological instances that are hard for subjective solutions to detect include when someone is alert, again with eyes fully open, but they are not processing any of the immediate visual input – like when we daydream. These are some of the subtle nuances between purely artificially learned solutions and ones verified with physiological data.
“By validating their solution through the Optalert Drowsiness Detection Validation Service, providers are able to test their systems for such occurrences,” continued Coles. “The Optalert algorithm and associated scientifically validated Johns Drowsiness Scale is the source of truth for drowsiness detection.”
The new validation service is online and provides the user with detailed analysis including drowsiness scores, scientific observations, and recommendations.
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