AI-Supported Quality Inspection
Development of an automated inspection system combining industrial cameras, controlled lighting, image processing, and artificial intelligence to identify defects, contamination, or geometric deviations.
Overview
This project combines industrial cameras, controlled illumination, and AI-based image evaluation into an automated inspection workflow intended to run alongside a production process.
Challenge
Manual visual inspection is slow, inconsistent between operators, and difficult to scale across continuous production.
Solution
A camera and lighting setup captures components under controlled conditions, and an AI model evaluates the resulting images to flag defects, contamination, or geometric deviations for review.
Implementation
- Selection and configuration of industrial cameras
- Design of controlled illumination for consistent image capture
- Image processing pipeline development
- AI model training and evaluation
- Integration into an automated evaluation workflow
Technologies
Gallery
Technical diagram
Results
- Placeholder result — replace with a verified project outcome.
Limitations
- Placeholder limitation — replace with a verified constraint of the current approach.
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