Industrial Optimization
Introducing Visual Inspection AI for discrete manufacturing processes
Top-ranked computer vision and machine learning capabilities of Google to detect the smallest defects at an unprecedented accuracy and scale
Key Benefits of Visual Inspection AI
Purpose-built for production scale
In production trials, customers improved accuracy by up to
10 times than general purpose ML platform
Leading computer vision & AI
Unlike competing solutions that use simple anomaly detection: detect, classify, and precisely locate multiple defect types in a single image
Start quickly
Build accurate models with up to 300 times fewer human labelled images than general purpose ML platform
Edge-to-Cloud
Integrate your production quality data with your broader industrial data in Google Cloud with our edge-to-cloud data solutions
Our objective
Our goal is to work together to help
⬤ Build a best-in-class visual inspection solution for manufacturing quality control
⬤ Minimize the labeled data required, powered by unsupervised learning and transfer learning
⬤ Set up and enable production workload
⬤ Scale up or down easily with Google Cloud flexible infrastructure to optimize cost
Visual Inspection AI supports a variety of use cases across many industries
Automotive
Press shop inspection (scratch, dents, cracks, staining)
Foundry engine block inspection (cracks, deformation, anomaly)
Body shop welding seam inspection
Paint shop surface inspection
Semiconductors
Wafer level anomaly and defect localization
Die crack inspection
Pre-place inspection
SoC packaging inspection
Board assembly inspection
Electronics
PCB soldering and gluing (insufficient solder, Icicle, shift, exceeding tin, etc.)
PCB missing components (screw, spring, foam, connector, shield, etc.)
Product surface check (glue spill, mesh deformation, scratches, bubbles, etc.)
Others/Industrial
Packaging and label inspection
Fabrics inspection (mesh, tear, yarn)
Metal and plastic welding seam inspection
Surface inspection
Visual Inspection makes it easy for manufacturers to extract value from AI
High accuracy
Train high quality defect detection model optimized for inspection use cases
Less training data required
Minimize the labeled data required for model training, powered by unsupervised learning, and transfer learning
On-premises support
Run inference on prem to provide low latency
Quick setup
Set up and enable production workload within several weeks
High scalability
Scale up or down easily with Google Cloud’s flexible infrastructure to optimize cost
Integration with Google Cloud products
Leverage solutions like Anthos, and ML Edge for factory automation
Solution Partners
