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Active Learning and Novel Model Calibration Measurements for Automated Visual Inspection in Manufacturing
Our results show that the explored active learning settings can reduce the data labeling effort by between three and four percent without detriment to the overall quality goals, considering a threshold of p=0. 95.
Enriching Artificial Intelligence Explanations with Knowledge Fragments
Artificial Intelligence models are increasingly used in manufacturing to inform decision-making.
Streaming Machine Learning and Online Active Learning for Automated Visual Inspection
The use of machine learning models for automated visual inspection are expected to speed up the quality inspection up to 40%.
Active Learning for Automated Visual Inspection of Manufactured Products
Quality control is a key activity performed by manufacturing enterprises to ensure products meet quality standards and avoid potential damage to the brand's reputation.
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