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The poIoTita 4.0 project is developing an innovative automated quality control application for the manufacturing industry, leveraging Artificial Intelligence (AI), Large Language Models (LLMs), and Machine Vision technologies.
Building on the results of the previous research project “poIoTita”, it aims to develop an intelligent system capable of detecting defects with high accuracy, analysing production data in real time, and supporting decision-making through advanced artificial intelligence algorithms.
The new application will be integrated into SEEMS’ aRTi-D™ platform, contributing to the digital transformation of the Greek manufacturing industry, with the aim of enhancing quality, productivity, and competitiveness.
Αναμενόμενα Αποτελέσματα
AI & LLMs for Quality Control
Integration of Gen AI and LLM technologies to analyze quality control reports and data, enabling more accurate identification and interpretation of potential quality issues.
Intelligent Defect Detection
Enhancement of the existing Machine Vision system to enable even more reliable detection of defective products and reduce false detections.
Quality Failure Prediction
Development of Artificial Intelligence algorithms that leverage production data to enable early prediction of potential quality failures and support preventive actions.
Integrated Digital Application
Development of a new automated quality control application, fully integrated into the aRTi-D™ platform, ready for pilot implementation and commercial exploitation.
Innovation for Industry
Development of new business models and exploitation of the generated know-how to bring innovative solutions to the manufacturing industry.