The partners want to present their development in the first quarter of 2021 as hardware and software prototypes. The cameras developed by BECOM capture areas of the interior; these are then analysed by the Al software in order to obtain relevant information in real time about what is happening inside the car. For example, the status of the driver can be determined and gestures for the intuitive control of the infotainment system can be recognised.
In addition, further analysis modules are offered e.g. fatigue detection, distraction detection, personalisation, passenger detection, and even emotions can be recognised. The analysis takes place in real time on a computing platform in the car and respects data protection rights.
Vehicle interior analysis is becoming increasingly important. According to the WHO, there are still more than 1.3 million deaths from accidents worldwide each year, with 94% of all accidents being due to human error. The product from BECOM and emotion3D can make a considerable contribution to avoiding accidents, in particular by the detection of the driver’s attention and drowsiness and the associated early warning.
“In the vehicle of tomorrow, understanding the interior will take on a completely new significance. Our optimised Al solution supports vehicle manufacturers in raising the interior to a level comparable to that of the exterior in terms of assistance functionality and autonomy,” emphasise Dr. Florian Seitner, Managing director of emotions3D, and Roman Bock, Managing director of BECOM.
Up to now, this has not only been recognised by important automotive organisations such as Euro NCAP who have included this in their assessment protocols, but also by legislators. In November 2019, the EU Parliament passed a directive that requires drowsiness and distraction warning systems in every new car from 2024. In the USA and China there are now also the first laws or drafts aimed at achieving this.
The improved perception of the driving experience is another reason for the rapid demand for such systems. Not only gesture recognition is in the foreground here, but also the recognition of certain seating positions and much more. For example, it could be set so that the air flow never flows directly onto the passenger or that the reading light is switched on when the passenger opens a book.
Elektroniknet Article - in German language.