Solve signal or image classification problems in days
Perform real-time detection in microcontroller firmware, or in the cloud
Software that makes sense of the physical world
We offer AI based tools for the practicing R&D engineer
working with sensors and signals
Get quicker results with less training data and easier embedding than Deep Learning.
No special hardware required.
Solutions
Machine Health and Predictive Maintenance
Use vibration, sound, voltage/current fluctuations and other sensor inputs to identify conditions requiring operator intervention or that indicate maintenance requirements. Works especially well with rotating equipment.
Use visible light, multi-spectral, hyperspectral or x-ray imagery to identify surface defects for manufacturing quality control or equipment inspections. Works especially well with rust, corrosion, scratches, blisters, dimples and divots.
Use accelerometers to identify specific activities and surrounding context. Very good at dealing with high-variation activities and noisy data.
Use imagery, lidar, sound, accelerometers and vibration to sense the environment immediately surrounding the vehicle and identify specific conditions, including surface conditions (eg wet, slippery, pothole) and surrounding context (emergency vehicles, etc).
Technology
To learn more about our technology, download our technical whitepaper here.