Amazon Lookout for Vision
Spot product defects using computer vision to automate quality inspection
Benefits
Create a machine learning (ML) model
Easily create a machine learning (ML) model to spot anomalies from your live process line with as few as 30 images.
Identify visual anomalies
Identify visual anomalies in real time to reduce and prevent defects and improve production quality.
Reduce operational costs
Prevent unplanned downtime and reduce operational costs by using visual inspection data to spot potential issues and take corrective action.
Use cases
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.