Customer Use Case:
North American Lighting (a division of Koito Group)

In this video, Takeshi Masuda and Amit Mehta, of the North American Lighting Silicon Valley Lab, a new division of the Koito Group, explain how this tier one automotive supplier is using Reality AI technology to improve the accuracy of the Adaptive Driving Beam (ADB).

Koito is the world's leading maker of exterior automotive lighting, and they announced the concept for their next generation ADB headlight, featuring Reality AI technology, at the 2018 Consumer Electronics Show.

automotive illustration by Reality AI

Sense events and conditions:

- In the cabin, relating to drivers and passengers
- Under the hood, relating to mechanical components
- Outside the vehicle, including road surface conditions like puddles, snow, gravel, potholes, and speedbumps
- In the factory, for predictive maintenance on manufacturing equipment

Using:

Accelerometry

Vibration

Biometric

Temperature

LiDAR

Sound

Electrical

Proprietary Sensors

OBD

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DOWNLOAD OUR TECHNICAL WHITEPAPER

Learn about some of the technical details behind the Reality AI approach to machine learning with signals

  • Why signals require a different approach than other machine learning problems

  • The importance of "features" to effective machine learning

  • Why the FFT probably isn't good enough, and what other options are better

  • The difference between Reality AI and Deep Learning

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