We create vision AI that understands the entire in-cabin space
We partition vehicle interiors into three main components: People, Objects & Surfaces. Accordingly, we designed a comprehensive portfolio of In-cabin Sensing algorithms that we cluster into three main modules: Human Behavior Understanding, Object Recognition, and Surface Classification.
Object Localization (OL)
Surface Classification (SC)
Interior Semantic Segmentation (ISS)
Human Behavior Understanding
Eyeris HBU group of DNNs includes body tracking analytics, face analytics and emotion recognition along with action and activity recognition for all occupants inside the vehicle.
Eyeris Object Recognition DNN enables detection and classification of all objects inside the cabin, and provides data analytics about their size, contour, region and position.
Eyeris Surface Classification provides identification and position of all in-cabin surfaces such as footwells, door panels, center console, etc., relative to occupants and objects position.
Edge Inference on AI Chips & Modern Processors
Specifically designed for inference on vision-optimized AI chips and modern processors, our computer vision software technology uses 2D RGB-IR image sensors to provide real-time visuospatial data analytics on the edge. Eyeris redefines safety, comfort and convenience for the automotive and new mobility ecosystems in this new type of consumer space.
In 2017, The TU Automotive Awards Named Eyeris
Best Connected Service or Product for Commercial Market
“Because they are at the cutting edge of where the commercial vehicle industry is going, Eyeris occupant monitoring AI really stands out in the wide range of in-cabin monitoring tools out there.”
Defining the In-Cabin Experience for The Future of Mobility
The rapid advancements of AI in automotive will enables vehicles interiors to become a new type of consumer space. Eyeris in-cabin Sensor Fusion AI enables new ways in how automotive interiors will be designed for optimum safety, comfort and convenience, and how the interaction among passengers and outside environments will evolve.