Quality Control
The "Quality Control" section features AI tools and systems designed for automatically identifying defects, inconsistencies, and deviations in products or processes. Here you will find solutions using machine vision for surface inspection, identifying faulty items, verifying assembly, as well as analyzing data from sensors and production lines to predict potential quality issues. These tools utilize machine learning to analyze images, time series data, and other parameters to detect even minor defects that might be missed during manual inspection. They are indispensable for manufacturing companies aiming to raise quality standards, reduce scrap rates, and optimize production processes.
(2 tools )