₹30 Lakh a Month Back From Automated, Root-Caused Quality Control
Camera-based AI vision replaced inconsistent manual inspection and linked defects back to the process conditions causing them.
ITChamps implemented an AI-enabled camera-based visual inspection and quality intelligence solution for an automotive component manufacturer, automating defect detection and identifying the process conditions behind recurring defects.
The Challenge
Manual inspection couldn't scale to consistent, explainable quality control
Manual inspection and conventional quality-control methods could identify defective components, but were less effective at providing consistent, automated inspection and insight into the causes of quality deviations.
- Manual inspection produced inconsistent results across shifts and inspectors.
- There was heavy dependency on manual inspection for defect detection.
- The organization lacked insight into the probable causes of defects.
- Quality-related losses continued without a clear path to process-level fixes.
The Solution
Camera-based AI vision with root-cause and process-control intelligence
Cameras captured component images during manufacturing; AI-based image analysis identified quality deviations, correlated them with process data, and identified probable causes to enable process control.
Captured images of components during the manufacturing/inspection process for automated, consistent inspection.
Analyzed component images with AI to automatically differentiate good and defective components.
Analyzed historical inspection results and correlated defect occurrence with manufacturing and process information.
Transformed image, production, process, and quality variables into analytical features.
Analyzed the relationship between observed defects and manufacturing conditions to identify probable causes.
Delivered actionable insight to the manufacturing team to address process conditions contributing to defects.
Results
Measured business impact
Up to ₹30 lakh per month reduction in quality-related losses.
Camera-based, automated visual defect detection replacing manual inspection.
More consistent detection across shifts and lines.
Shift from reactive inspection to proactive, data-driven process control.
Highlights
- Moved from predominantly manual/reactive inspection to automated, proactive quality control.
- Identified process conditions contributing to defects, not just the defects themselves.
- Improved inspection consistency and earlier defect detection.
- Enabled corrective action based on data rather than final-inspection alone.
Services and technology
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