Reality AI for Surface Inspection
Use imagery to identify surface defects for
manufacturing quality control or equipment inspections
You can use:
RGB imagery
or
Multi / hyperspectral
and thermal imagery
Collected via:
UAV
or
Manufacturing test rig
to identify surfaces and defects, such as:
Rust and corrosion on towers or equipment
Scratches, abrasions and worn surfaces
Blisters, bumps and divots
Hot spots and defects (e.g. solar panels)
Cell tower - collected by UAV
Automated measurement of structures based on data collected by UAV
Wear and tear detection on replaceable part, manufacturing
Cell tower - collected by UAV
Reality AI uses advanced mathematics and machine learning to detect signatures in complex, very noisy, highly dynamic signal environments.
Use it to create image classifiers and feature detectors that can be used with your own devices and distributed as part of your own products.
Can be embedded in firmware on your device,
or accessed using a simple cloud API.
Icons by JAFY Studio, Shastry, Mike Rowe, Rob Ames, Juan Manjarrez, Rudolf Horaczek, Nikita Kozin, and Vectors Market from the Noun Project.