Production analysis and quality control
Data collection, data analysis and artificial intelligence for plant data analysis and production quality control.
A mix of machine vision solutions to capture and analyse product images and detect defects, rejecting non-conforming parts. The integration of artificial intelligence software – thanks to data analysis models and deep learning algorithms – makes it possible to detect production anomalies even in complex cases.
Reproducible tests in the Living LAB
- Optical web inspection technology based on line scan cameras for capturing images of objects moving at high speed.
- Optical technology with structured light pattern projection to analyze products with variable colors and textures.
- Lighting devices with Bright field LED technology to produce high intensity, stable and uniform lighting at low cost.
- Embedded controller for the development of machine vision algorithms integrated and synchronized with other automation systems.
- Deep learning models based on deep convolutional neural networks to identify defects that are undetectable using traditional techniques.
Benefits for businesses
- To monitor 100% of production in real time.
- To implement an objective, repeatable and robust quality system.
- To monitor with high accuracy, reducing false positives and negatives.
- To integrate data processing with existing automation in your process.
- To track defects, for zero defect production.
- To raise production efficiency.
- • To improve and automate visual inspection tasks.
Partners of DA&AI Living Lab
IP4FVG's 4 Living Labs
Book a visit with our experts, come and try the technological solutions present in the demonstrators.
