Ensuring Safety and Comfort for Occupants of Highly Automated Vehicles

The Ultimate Driver Monitoring AI

Eyeris HBU AI augments ADAS and enhances HMI. Driver attention and distraction can no longer be solely assessed through rudimentary eye gaze and/or head pose analytics. A whole host of additional safety-critical visual metrics are imperative to ensuring the highest level of confidence throughout the decision-making AI process.

Eyeris Human Behavior Understanding AI enable OEMs, Tier 1s and related automotive entities with a wealth of driver visual behavior data that spans a comprehensive suite of face reading analytics, emotion recognition from facial micro-expressions, real-time 2D body tracking, action and activity recognition and prediction.

“Entities are encouraged to consider whether it is reasonable and appropriate to
incorporate driver engagement monitoring in cases where drivers could be
involved in the driving task so as to assess driver awareness and readiness to
perform the full driving task.”


Critical to All Levels of Vehicle Semi-Autonomy

Eyeris gathers in-cabin intelligence at all levels of vehicle semi-autonomy including L2, L3, and L4, as defined by the Society of Automotive Engineers (SAE). Eyeris HBU AI enables automotive OEMs and Tier 1 suppliers to assess with granularity the driver’s attention, cognitive awareness and emotional distraction, allowing the vehicle to augment or offset the driver’s capabilities accordingly, especially in time-sensitive events that warrant the activation of support systems.

The Ultimate Occupants Monitoring AI

Eyeris enhances occupants’ comfort and safety at all levels of autonomy. Eyeris HBU AI enables personalized in-car experiences with Interior Ambient Intelligence (AmI) by augmenting smart interior environments to adapt seamlessly to occupants’ demographic, body positions, mood and overall visual behavior.

With Eyeris in-cabin intelligence, automotive manufacturers can learn about the likes and habits of all occupants, automatically adjusting the interior space to their needs and preferences.

Learn more about Eyeris HBU AI

“HAV manufacturers and other entities should exercise and demonstrate due care to
provide countermeasures that will fully protect all occupants given any planned
seating or interior configurations”


At the Forefront of the “Third Living Space” Movement

Semi-autonomous, and soon, completely autonomous vehicles will dramatically alter our emotional connection and how we view our relationship with the interior space that wouldn’t require us to control it with action-based or command-based Human Machine Interaction, but rather anticipates our needs intelligently based on our behavioral data and patterns trough passive interfaces.

We have a front row seat to understanding and analyzing what occupants do and expect to be doing in the estimated 300 hours a year they are in this “Third Living Space”.

As an extension of a person’s home and office, this Third Living Space is where occupants will belong and where they can be safe and, most importantly, most productive. It will be an extension of our identity and an extension of our activity.

Ridership Economy

The billions of bits of HBU data generated from this Third Living Space is unprecedented because It gives birth to a new ridership economy; wherein occupants profile and behavior data will incept new monetization models, orchestrated by mobility-as- a-service incumbents.

Enabling a New Breed of Mobility Services

New in-vehicle monetization models will emerge from understanding occupants and connecting them to outside mobility service providers, offering hyper-targeted and individualized products to their anticipated needs and wishes.

The future occupant-aware vehicle will provide manufacturers and other suppliers the ability to offer personalized products and services based on the billions of bits of rider data. As cars become more autonomous and users are able to conduct more activities from their cars, Eyeris HBU data streams will become even more valuable to each party in the future of transportation ecosystem.