Explainable and Embedded AI for Production Line Analysis

ABSTRACT :

Industry 4.0 technologies offer the possibility of having access to a large amount of data collected on production lines. These data can be leveraged using artificial intelligence to design applications for improving production by detecting and predicting potential problems. Our research specifically targets the joint optimization of product quality and maintenance. Using explainable machine learning and deep learning models, the aim of our work is to accurately detect and predict manufacturing defects and machine failures. The objective is to implement an integrated system for product quality control and predictive maintenance within production lines to enhance product quality, reduce losses resulting from defective products, and minimize production interruptions due to machine breakdowns.

KEYWORDS : Industry 4.0, Deep Learning, Machine Learning, Product quality control, Predictive maintenance, Explainable AI