IndiaChemicals and materials2025 – ongoingAsian Paints
Computer vision for paint-surface defect detection
Asian Paints deployed paint-defect detection with 93% model accuracy reported by NTT DATA
Problem
Skilled staff inspected paint defects manually. The work took time and could delay customer service.
Approach
NTT DATA built a Google Cloud AutoML model to classify defects from images. It considered surface position and visual characteristics, with confidence thresholds for classification. An Asian Paints systems manager confirmed that the functionality had gone live.
Results
Takeaway
The supplier reported model accuracy, but did not disclose the test-set size or a measured reduction in inspection time.
Categories
- Size
- Large enterprise
- Industry
- Chemicals and materials
- Business function
- Production and qualityCustomer service
- Innovation type
- Process innovation
- AI technology
- Computer vision
- Adoption
- Vendor solution
- Evidence
- Vendor case study
Sources
Source summaries
NTT DATA described its AutoML defect-classification system and reported 93% model accuracy. A named Asian Paints manager confirmed production use.
Full details are in the original sources.
