Eyeris
From Wikipedia, the free encyclopedia
| Company type | Private |
|---|---|
| Industry | software, artificial intelligence |
| Founded | 2013 in Mountain View, California, US |
| Founder | Modar Alaoui |
| Website | eyeris |
Eyeris is an artificial intelligence software company specializing in automotive in-cabin sensing AI and sensor fusion technologies for autonomous vehicles (AVs) and highly automated vehicles (HAVs).[1][2][3] Eyeris was founded in 2013 by Modar Alaoui with its headquarters in Mountain View, California.
Eyeris was established in 2013 by Modar Alaoui to develop vision-based AI technologies, initially focusing on facial expression analysis and emotional AI.[4][5][6][7]
In 2016, at Nvidia GTC Eyeris introduced its Driver Monitor System, an AI-powered in-cabin sensing software designed to analyze driver attentiveness and emotional states using a camera-facing system. The technology leverages computer vision, deep learning, and real-time processing to assess facial expressions and cognitive states.[8][9] In 2017, Toyota Concept-i adopted Eyeris' AI technology after it was introduced at the TU-Automotive Japan event that was held in Tokyo in October 2017.[5]
At the 2019 Consumer Electronics Show (CES), Eyeris showcased a portfolio of deep neural network (DNN) AI models designed for multi-camera in-cabin monitoring. Demonstrated in a Tesla Model S, the system provided real-time in-vehicle scene understanding by assessing the driver's and passengers' facial features, body posture, actions, and activities.[4][10][11][12] For edge inference, Eyeris integrated a partner company's AI chip, built with 10-nanometer technology, capable of performing 10 trillion operations per second (TOPS) within a thermal envelope of 7 watts.[10]
In January 2020, Eyeris integrated Texas Instruments (TI) Jacinto TDA4 SoC processors and 2D RGB-IR image sensors into its in-cabin sensing AI solution. Using TI's D3 Engineering DesignCore platform, this integration enabled efficient inference of Eyeris' deep neural network (DNN) from multiple RGB-IR cameras simultaneously.[13] In June 2021, Eyeris collaborated with STMicroelectronics to extend ST's Global-Shutter sensor technology to in-cabin sensing applications. The partnership leveraged Eyeris' deep neural networks (DNN) to provide a detailed understanding of the vehicle interior, including Occupant Monitoring Systems (OMS), Driver Monitoring Systems (DMS), activity prediction, and child presence detection (CPD).[14]
In September 2022, during the inaugural InCabin conference in Brussels, Eyeris unveiled the world's first in-cabin Monocular 3D Sensing AI. This technology transforms standard 2D cameras into 3D perception systems using depth regression algorithms, enabling comprehensive monitoring of the entire vehicle cabin.[15][16]
At CES 2024, Marelli announced the integration of Eyeris' in-cabin monocular 3D sensing technology into its context-aware mobility experience (CAMEX) within its Software-Defined Interior. This system included depth-aware DMS and OMS, enabling CAMEX to analyze user behaviors and moods in real-time and adjust vehicle settings.[17][18]
In January 2024, Eyeris partnered with OmniVision and Leopard Imaging to develop a production reference design that integrated Eyeris' advanced monocular 3D sensing AI software into Leopard Imaging's 5-megapixel backside-illuminated global shutter camera.[19] The design incorporated OmniVision's OX05B image sensor and OAX4600 image signal processor (ISP) to enhance safety and comfort throughout the entire automobile cabin.[15][20][21]