Interior Vision AI for Occupants of Highly Automated Vehicles

Safety for All

Vision AI that augments ADAS, enhances HMI and enables interior Ambient Intelligence for all occupants.


In-Cabin Intelligence

Visual behavior data that enables intelligent environments to learn occupants’ likes and habits.


Augmented Experience

Human-centered qualitative analytics to which in-cabin environments adapt dynamically.

Vision AI for Human Behavior Understanding (HBU)

A multi-modal AI engine that uses modeling techniques to automatically interpret complex visual behavioral patterns of occupants inside autonomous and highly automated vehicles. These visual cues include emotion recognition from facial micro-expression, the most comprehensive suite of face analytics, upper body tracking and modeling, occupants' action recognition and activity prediction.


Emotion Recognition

Upper Body Tracking


Face-Reading AI

Action Recognition & Activity Prediction


TU Automotive Award Winner!

The TU-Automotive Awards panel of world experts in autonomous vehicles and mobility services awarded Eyeris from a pool of 400 nominations based on the following criteria: Innovation, Industry Engagement, User Experience and Market Update. Learn more.

Best Connected Service or Product for Commercial Market

“Eyeris driver & occupants monitoring AI really stands out in the wide range of driver monitoring tools out there.”

Since 2015, Eyeris has been a proud TU Automotive award nominee for 3 years in a row.


Edge Computing

Designed for real-time processing architecture on the edge, to lower data transport time and increase availability.


Embedded AI

Targeted for modern embedded systems, permitting easy implementation and integration into other processes.


Custom Models

Customized deep learning models for unique applications with variant environments, setups and challenging variables.

Defining The In-Cabin Experience for The Future of Mobility

While the focus on autonomous vehicles has revolved around exterior vision, sensors, mapping, and the Internet of Things, we are convinced that human-centered in-cabin technologies will not only complement the aforementioned technologies, but will be just as ground breaking in defining the future of mobility.

So much of the future of autonomous vehicles is naturally focused on the car as a mode of transportation, but as augmented intelligence advances, we think of vehicles as a new type of consumer space, or a Third Living Space. In this respect, Eyeris HBU AI enables new trends of rethinking about the way interiors will be designed, the interaction among passengers and outside environments, and how occupants will spend time while they are riding and not driving.