DTS AUTOSENSE™ IS DEDICATED TO SAFETY & EXPERIENCE
WE HAVE THE EXPERTISE AND THE TOOLS TO GIVE YOU THE REASON TO SAY THAT,
THERE IS NO PLACE LIKE MY CAR
DTS AutoSense provides a full suite of technologies that enables any kind of occupant monitoring and in cabin sensing applications such as driver monitoring, occupant monitoring including child safety, smart e-mirrors and AR HUDs.
DTS AutoSense is a suite of computer vision solutions designed for in-cabin monitoring applications in the automotive market. Our solutions use advanced AI techniques that are designed and implemented specifically for automotive requirements. These solutions provide high accuracy detection, classification and analytics of all the passengers inside the vehicle, enabling a safer and more personalized journey experience.
It leverages a deep understanding of core systems and sensing technologies that can impact the way in-cabin analysis is performed on the driver and the passengers. Our holistic approach on various systems and sensor configurations coupled with over 15 years of experience help us tune our solutions to specific requirements, ensuring very high levels of quality and performance.
DTS AUTOSENSE FEATURES
DTS AutoSense in-cabin vision is about the ever-evolving cabin and the way each trip improves the next one, to the point where your journey experience becomes safe, personalized and memorable.
Our accomplished and award-winning research team of over 100+ innovators with over 1,200+ computer vision, artificial intelligence and computational imaging patents form the foundation of our success. We are first to market with Occupant Monitoring technologies – mass production in 2021 with a major European OEM.
Being pioneers in the field, we provide technology mentorship and unparallel development support to our partners. We share our expertise and partner with you to help solve complex problems, build new use cases and to adapt our technologies to any specific requirements. DTS AutoSense envisions to transform mobility from inside the car.
UNIQUE DATA TECHNIQUES
ON THE EDGE
In-Cabin Monitoring (ICM) has the potential of shaping the future of mobility. As the customer needs multiply and the desired feature list for OEMs increase, a correspondingly large number of safety elements and safety cases becomes critical to ensure passenger safety. As the level of automation increases, it becomes imperative to monitor the safety of all living beings inside the car and the state of all objects within the vehicle.
Hence, ICM is a crucial building block for advancing the technology and for increasing the level of automation in driving, both from a safety perspective, as well as from a comfort / in-cabin experience one. Various regulatory bodies such as EU NCAP and EU GSR are mandating the use of such system to ensure passenger safety.
DROWSINESS AND FATIGUE DETECTION
By monitoring if the driver enters sleep / microsleep states and taking immediate remedial action, accidents can be avoided.
We identify all types of distracted driving (visual, manual, and cognitive), thus eliminating one of the main reasons behind accidents today.
We help classify attention zones for safety and help in managing them based on driver parameters (e.g. eye gaze) for safety.
Detects if the driver eats, drinks, smokes or talks on the phone while driving, and alerts the vehicle/driver to avoid an accident.
We detect if there is something affecting the video feed and notifying the driver; we ensure all the in-cabin features are always operational.
OCCUPANT PRESENCE DETECTION
We detect all occupants and their seat position inside the vehicle; we also detect if a child is present in the car and secured in a child seat; these detections not only enables other in-cabin features to be personalized, but also enables alerts if the child is left behind/unattended.
PET PRESENCE DETECTION
If a pet is present in the car, specialized alerts can be configured for driving segments and it enables alerts if the pet is left behind/unattended.
by monitoring the status of all key elements in the cabin (e.g. specific objects) as well as the behavior of the occupants (using our body analytics technology) certain actions can be defined to enhance overall in-cabin safety.
Examples – (1) if a driver is turning back and talking constantly, a distraction alert can be issued. 2) if a driver is in an abnormal position, an impaired driver warning can be issued to emergency services.
As autonomous cars pave the way to smarter cockpits, in-cabin cognition technologies become increasingly crucial for enhancing the in-car user experience. At all times, a smart car should understand all objects and living beings that are inside the cabin and should be capable of taking actions to improve their safety and driving experience.
By recognizing the driver, in-cabin experience can be personalized by modifying the wheel and chair position and loading on the HUD the driver’s preferred apps and/or music on the infotainment system.
Captures smartphone quality, full in-cabin selfies, with filter options, thus creating unique in-cabin memories, that can be shared with your loved ones.
Biometric-grade face recognition for pay-on-the-go capability.
Gesture control and advanced UX functions, enabling 3D rendering of HUD elements based on each pupil position and offering personalized experiences while interacting with your car.
By tracking the status of all key objects in the cabin as well as the behavior of occupants, the overall in-cabin experience for both the driver and the passengers can be enhanced. Example – audio alert if cell phone is left behind in the car and the passenger is leaving the vehicle.
CHILD PRESENCE DETECTION
By detecting if a child is present in the car, in-cabin features can be personalized; exampe – content screening in the infotainment system.
STATE OF MIND
Identifying emotions and interpreting the context can enable features such as a smart playlists or even simple actions such as lowering the volume or changing the studio light settings inside the cabin or modifying the HVAC settings to provide a richer journey experience.