Easily create a machine learning (ML) model to spot anomalies from your live process line with as few as 30 images.
Identify visual anomalies in real time to reduce and prevent defects and improve production quality.
Prevent unplanned downtime and reduce operational costs by using visual inspection data to spot potential issues and take corrective action.
How it works
Detect part damage
Spot damage to a product’s surface quality, color, and shape during the fabrication and assembly process.
Identify missing components
Determine what’s missing based on the absence, presence, or placement of objects, like a missing capacitor in a printed circuit board.
Uncover process issues
Detect defects with repeating patterns, such as repeated scratches in the same spot on a silicon wafer.
How to get started
Try the AWS Free Tier
Pay nothing while learning the basics of Amazon Lookout for Vision.
Connect with an expert
Get the right support to implement Amazon Lookout for Vision.
Find out how Lookout for Vision Works
Learn about the defect detection process.