Make sense of the physical world
AI Tools for Engineers
Working with Sensors and Signals
Your AI Signal Processing Engineer
Detects Anomalies and Classifies Signals
Generates unique and exclusive detection code, to incorporate into your automotive, industrial IoT and consumer products.
Delivers results where other methods fail
Identifies signatures of real-world events and conditions in noisy, high variation, signals and sensor data.
Puts AI on your microcontroller
Can run embedded in firmware, in real time, on inexpensive, commodity hardware, at the edge.
Accepts all Sensors types
Accelerometry and Vibration
Reality AI can recognize subtle signatures in acceleration and vibration, even in high variation applications and noisy environments.
Sound
Ambient sound is an underutilized resource for many industrial, automotive and consumer applications. Reality AI is highly effective at extracting signatures of specific events and conditions in noisy environments.
Image and LiDAR
RGB, LiDAR, radar, thermal, multispectral and hyperspectral imagery are all in increasing use for a variety of tasks across industries. Reality AI is especially good at identifying surface textures and discontinuities in surface texture across all imaging types.
Other Sensors
Reality AI is sensor agnostic and can easily handle many data channels. Use Reality AI with your proprietary sensors, or other sensors not listed here, alone or in combination. The only limit is the available processing power.
Easily combine sensors for Sensor Fusion
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