AI Visual Inspection for Automotive Manufacturing
Automotive quality control is unforgiving. A single defective stamping or weld can trigger a recall, damage a supplier relationship, and cost millions. Manual visual inspection — even by experienced quality engineers — misses up to 20% of defects under fatigue and production pressure.
DeepVision by Indus Vision brings AI-powered precision to every inspection station on your automotive line.
Automotive Applications
- Stamping inspection — detect cracks, burrs, dimensional deviations in pressed metal parts
- Casting inspection — identify porosity, shrinkage, surface defects in die-cast components
- Weld inspection — detect incomplete welds, spatters, undercuts in real time
- Assembly verification — confirm correct component presence, orientation, torque marks
- Surface finish — paint, coating, chrome inspection for cosmetic quality
- Gasket and seal inspection — detect tears, folds, misalignment before assembly
Results in Automotive Deployments
- Body-in-white hole and bolt inspection at JBM Auto: 100% accuracy on the JBM line
- 98.2% combined accuracy across JBM Auto and a second automotive OEM, validated on 1,073 samples
Why Automotive Manufacturers Choose DeepVision
DeepVision integrates directly with Siemens, Allen-Bradley and Mitsubishi PLCs — no line stoppage required. It runs at the edge, requires no internet connection, and can be deployed across multiple lines from a single management console.
Vehicle Fit and Finish: Gap and Flush on Every Car
For final assembly, DeepVision Tunnel measures gap and flush on every vehicle while it moves on the conveyor, using structured-light 3D cameras, and files each result against the vehicle ID. The work was named a use-case winner at nasscom Mobility Confluence for automating vehicle fit and finish quality control.