Proven Results
on the Production Line

A Tier-1 automotive supplier needed to verify 14 assembly steps across 3 engine component variants on a single line. Traditional vision required days of reprogramming for each variant changeover, causing significant downtime. Manual inspection missed 2.3% of assembly errors.

Deployed 4 AS4 smart cameras with edge learning, each handling multiple inspection points simultaneously. Models trained with fewer than 10 good samples per variant. AI imaging auto-optimized within 1 minute for each new part.

A beverage manufacturer running 600 packages per minute needed to verify date codes, lot numbers, and label presence across multiple SKUs. Lighting variation from reflective packaging caused frequent false rejects with their existing laser-based system.

Installed AS4 smart cameras with computational imaging that auto-optimizes lighting for each SKU. Character recognition runs at 60 fps with adaptive thresholding that handles curved and reflective surfaces without manual recalibration.

A lithium battery manufacturer needed to detect micron-level coating defects (pinholes, agglomerates, scratches) on electrode sheets moving at high speed. Legacy AOI equipment generated excessive false positives, requiring costly manual re-inspection of 15% of all output.

Deployed SV2000 vision controller with a line-scan 2.5D imaging module. The 200 TOPS compute platform runs deep learning defect classification in real time. The AI Re-inspection System (ARS) augments existing AOI with intelligent secondary screening.