Complementary with other fatigue detection technologies and systems.
Operates in the background.
Applicable to any industry.
WOMBATT-VOZ does not require specific devices for its operation unlike the rest of the technologies that exist in the market (cameras, bands, caps, lenses, etc.)
WOMBATT-VOZ accuracy of up to 90% in predicting fatigue is achieved due to the use of Voice based Artificial Intelligence and proven in ESA laboratory tests with Mars 500 project astronauts.
No bespoke equipment investment. WOMBATT-VOZ uses exclusively “off the shelf ” hardware.
WOMBATT is a forward-looking AI fatigue prediction technology using voice analysis, with voice data recorded and transmitted to the cloud, or a local server inside a corporate firewall, by any Android, Apple or Windows 10 mobile phone, tablet, or computer
As WOMBATT uses artificial intelligence to analyze multiple voice muscles, accuracy once the algorithm learns the individual’s own voice characteristics is up to 90% in ESA astronaut tests and predicts the risk of a fatigue event occurring up to 5 hours ahead
WOMBATT is perfectly suited for use with onboard tablet computers for the road transport industry and can be fully integrated into a passenger car’s onboard voice artificial intelligence system such as Cerence and iFlyTek
WOMBATT analyzes any 8 second voice audio recording sent to an artificial intelligence algorithm, which then takes approximately another 5 seconds depending on transmission speeds to predict the level of fatigue of the user and return the result to the users device, and in the event of an alert, an SMS and/or email to the supervisor
As WOMBATT operates in the background, the system does not intrude on users and is very popular with drivers and supervisors
Fully integrable with most operations management and mine dispatch systems