Product Quality Optimization through Production Line Analysis using AI in Industry

IoT sensors enable real-time data collection on production lines that can be used
to control the quality of output products. Some parameters of the production process have a
direct impact on product quality, making their monitoring crucial. We propose to use AI to
predict critical control parameter values based on other input process parameters, in order to adjust input parameters in case of predicted value deviation. This approach will help to optimize product quality and reduce manufacturing defects