Some may say that face masks have become a fashion accessory during the pandemic, and for many, they are now ‘part and parcel’ of their average workday.
Face masks can present challenges for driver fatigue and distraction detection technologies. It can often be more difficult for artificial intelligence to search for and detect facial features (landmarks) to determine if a driver is fatigued or distracted when the they are wearing a face mask. This means that some driver fatigue and distraction events could go undetected, increasing the potential of risky driving behaviours.
Seeing Machines’ Guardian driver fatigue and distraction technology has been optimised to enhance facial tracking to overcome partial blocking (occlusion) of facial features, including the wearing of a face mask.
With the enhanced facial tracking feature, the Guardian in-vehicle system infers the position of the mouth and nose, even when these are obscured, as long as the eyes are visible.
The system continuously checks whether key facial landmarks, namely the mouth and nose, are present and can detect changes in facial occlusions. This means a driver can put on or remove a face mask without having to reset the system.
Guardian technology works best with plain, light-coloured masks that are properly worn. It also operates when facial features are obscured by other means such as the driver waving their hand in front of their face.
For a demonstration of the enhanced facial tracking feature in Guardian, please get in touch.