AI / Machine Learning / cv-02
Automated Defect Segmentation Inspector
Turns image and video streams into automated inspection, safety, and operational intelligence.
Commercial Scale
$41,250 USD
Risk Reduced
Quality Exposure
Executive Situation
Quality teams were missing hairline scratches, solder voids, and surface defects under variable lighting conditions during high-speed inspection.
Modular Solutions Response
We curated multi-light image captures, trained segmentation masks for defect types, and added illumination normalization before inference. The system records defect geometry, location, and severity so engineers can trace failures back to process conditions.
Industry
Manufacturing
Category
Computer Vision & Spatial Intelligence
Specialty
Optimized
Evidence Basis
Model + MLOps
parameters
61M segmentation model
latency
47ms image inference
training
132 GPU hours
loss
L = CE(mask) + 1 - IoU
Enterprise Security Gate
Network Access Restricted.
Detailed files, client-specific assumptions, and delivery channels remain controlled.