Artificial Intelligence for Manufacturing
ML applied to production: defect detection via Computer Vision, failure prediction, parameter optimization. Measurable results in 8-12 weeks.
What's included?
Automatic defect detection with AI
Failure prediction before they occur
Automatic optimization of process parameters
Reduction in scrap and rework
Frequently asked questions
How much data do I need to train an AI model?
For visual defect detection, a minimum of 1,000 images per class (good/defective) is required. For failure prediction with sensor data, at least 6 months of historical data.
Can AI work without internet connection in the plant?
Yes. All our models are deployed locally (edge AI). No production data is sent to the cloud, ensuring confidentiality and operation without internet.
How quickly is the return on investment seen?
Computer vision projects for defect detection typically show ROI in 3-6 months. The reduction in scrap and rework generates immediate savings.