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Challenge
A company manufactures high-quality articles for the cosmetics industry. Specifically, it manufactures a plastic lens to optically enhance a cream container.
- Goals:
- Only objects of the highest quality are used: Without scratches, contaminations, inclusions etc.
- Quality inspections should be automated (despite imperfections being difficult for the human eye to detect)
- Challenge:
- Process differences of training vs. test data (lighting, background)
Solution
Image recognition by Deep Neural Networks:
- Installation of a camera and collection of image data
- Labeling images of defective products (manually)
- Training a deep neural network
- Implementation and integration of the quality assurance into the running production
Benefit
- Automation of manual, less “attractive” activities
- Increasing the quality of finished products
AI from msg – Made in Europe
With artificial intelligence, we want to drive forward the use of AI in organisations faster and more successfully. What sets us apart: Forward-looking consulting services and products to enable value creation through data.