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We take care of your safety with the Eyez app. Combining modern technology and artificial intelligence, we support your attention on the road and warn of dangerous driving behavior
Try it!
Why it's important
police reported crashes
The National Highway Traffic Safety Administration census of fatal crashes and estimate of traffic-related crashes and injuries rely on police and hospital reports to determine the incidence of drowsy-driving crashes. NHTSA estimates that in 2017, 91,000 police-reported crashes involved drowsy drivers. These crashes led to an estimated 50,000 people injured and nearly 800 deaths. But there is broad agreement across the traffic safety, sleep science, and public health communities that this is an underestimate of the impact of drowsy driving.
billion in monetary losses
people injured
About the app
DriverApp is designed to prevent drivers from falling asleep and losing attention while driving a vehicle by using your smartphone. The application trains neural networks with the collected data and displays individual current safety statistics of your driving. Current data reflects the state of driving, your behavior on the road and motivates you to be a more responsible driver.
Artificial Intelligence
We have ported a neural network (NN) created by our team and the artificial intelligence community. By combining technology and artificial intelligence, we managed to achieve the maximum result of interaction between the application and the driver.
it works
How it works
Face Features Tracking
Application automatically searches the driver's face via front facing camera and starts the tracking of the main face points showing the status and visualise tracking process.
Drowsiness Alert
Application starts to track the eyes aspect ratio (EAR) on the driver and permanently measure it. When the EAR becomes smaller than defined Threshold application gives you Drowsiness Alert with special sound and visual signals.
Driver Absence Alert
When you disappear from the camera range, we notify you with the Driver Lost alert, but it automatically continues tracking after camera finds your face in the range again.
Rest Notification
Application proposes to have a 15 minutes break every 2 hours of continuous driving.
In more than 8 hours of driving we notify about associated risk and potential danger.
Get statistics of your trips
During your trip, the app collects data to show how safe your trip is. Statistics allows you to understand how safe you have been driving and thus warn you against unforeseen events.
Night Mode (Beta)
Application makes your face points and eyes visible for the phone camera using InfraRed sensor and Dot Projector (iPhone) or in increasing the brightness of your screen in the full darkness.
TrueDepth front-facing camera
The front camera in nowadays smartphones are capable of recording video at 4K as a result of a 12+ MP sensor. Latest iPhones (starting from X) have TrueDepth front-facing camera system. TrueDepth starts with a traditional 7MP front-facing "selfie" camera. It adds an infrared emitter that projects over 30,000 dots in a known pattern onto the user's face. Those dots are then photographed by a dedicated infrared camera for analysis. There is a proximity sensor, presumably so that the system knows the distance to the user. An ambient light sensor helps the system set output light levels.
Ambient light sensor
Devices use an ambient light sensor to adjust brightness levels based on the light conditions around you. The sensor lowers brightness in dark locations and raises it if getting more light. The auto-brightness feature is on by default.
Dot projector
Dot projector is a key component that enables TrueDepth. The system usually consists of an array of light emitting units, lenses, and beam splitting grating(s). The lens system together with the grating(s) will project and make several duplications of the array source pattern.
For Developers
You can create your own Neural Network (NN) and integrate it to our application. We can share all needed datasets to you and support your training process for some specific features in application.
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