Reality AI for Automotive
Use sensor inputs to identify road conditions and context in the area
around and in front of the vehicle
You can use:
Camera
Microphone
LiDAR
Vibration sensor
OBD and operating data
alone, or in combination, to detect:
Wet roads
Ice and snow
Sand and gravel
Potholes
Emergency vehicles
Reality AI uses advanced mathematics and machine learning to detect signatures in complex, very noisy, highly dynamic signal environments.
Use it to create signal classifiers and detectors that can be used with your own devices and distributed as part of your own products.
Can be embedded in firmware on inexpensive microcontrollers,
using moderate sample rates, for real-time processing.
Also see our solutions for machine health and predictive maintenance.
Icons by Creative Stall, Maxim Kulikov, Cecillia Della Longa, Diego Naive, Alexandr Cherkinsky, Becris, Juraj Sedlak, Lero Kellerfrom the Noun Project.