Skip to main content

Benefits

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.

Use cases

Spot damage to a product’s surface quality, color, and shape during the fabrication and assembly process.

Determine what’s missing based on the absence, presence, or placement of objects, like a missing capacitor in a printed circuit board.

Detect defects with repeating patterns, such as repeated scratches in the same spot on a silicon wafer.