Fatigue as a result of lack of sleep plays a major role in our society, and with the increasing pressure from social media, such as binge watching our favourite tv shows until the early hours, sleep is under pressure these days not only from our working and commuting hours, but also from sleep time having to make room for our smart device use as well.
At WOMBATT our vision is to teach people about fatigue and sleep, helping them gain insights into the dangers of fatigue in every industry. We strive for a safe work environment and safe road use in which fatigue is no longer the invisible threat to people and companies. Smart devices causing distractions from sleep can now be used to turn the tables again, helping protect us from sleep loss and fatigue and with that improving health, well being and safety!
An essential tool in managing fatigue effectively is having the right data to work with.
By using advanced speech analysis technologies to predict fatigue with a high level of accuracy, we can guide users in recognizing fatigue, what it was/is being caused by, and help make fatigue a danger of the past.
With our innovative system, companies gain the information they need to monitor the well-being of their employees and proactively address potential safety risks associated with fatigue. Our service offers a level of precision and detail that sets us apart from traditional fatigue detection methods, making WOMBATT the leader in this field.
WOMBATT-VOZ AI Voice-based FRMS App is compliant with a number of industry set standards such as the ANSI/API RP 755 Standard and follows the ISO 310000 Standard.
Gives companies, self-employed drivers and private users the possibility to react to fatigue risk in advance. The power of highly accurate risk assessment in the future gives you the opportunity to plan your powernap, break or swap out to a different job prior to the fatigue event, all within your current schedule. Planning for fatigue prevention is now possible without abrupt intervention requirements!
Our fatigue prediction technology is incredibly versatile as it does not require any specific devices to operate. Connect it to your mobile, smartwatch, onboard tablet and or journey management system. In our online society the possibilities are unlimited.
Uses voice-based AI to predict fatigue with up to 90% accuracy. Tested in European Space Agency labs to ESA engineering standards, and benchmarked against human fatigue measures such as reaction times, cognition and memory tests.
Fatigue prevention does not have to be an expensive investment. WOMBATT-VOZ operates as a software-only subscription service. It uses “off the shelf” hardware solutions, eliminating the need for bespoke equipment investments.
The human voice is a powerful source of information, in our ever evolving lifestyle we are using it more and more. To turn on household appliances, to ask Google or Siri a question, to start our cars and to predict and detect health-related issues. The future of using our voice for other purposes than communication with each other has arrived.
Our voice has millions of elements which can tell you any story about yourself, as long as you ask the right questions. In the medical industry there are current solutions in which you can call a number and leave a voice message, the analysis of that call will tell you if you have the elements to develop Parkinson’s disease. Another thing about the voice, you can’t fake it, you can pretend to sound a certain way, however the muscles in your voice producing the elements are either in our case fatigued or not fatigued.
WOMBATT analyses any 8 second voice audio recording sent to our artificial intelligence algorithm, which then takes a few seconds depending on transmission speeds to predict the level of fatigue of the user with a validated 90% accuracy and returns the result to the users device, in the event of an alert, an SMS and/or e-mail will be sent to the fatigue management team for corporate users.
As WOMBATT operates in the background, the system does not intrude on users making it a popular solution with drivers and supervisors