Project: Development of a multi-material and multi-defect detection and anomaly prediction system based on machine vision, artificial intelligence and IoT

Acronym MULTI-IA (Reference Number: MNET20/ICT-3798)
Duration 01/01/2021 - 01/01/2023
Project Topic MULTI-AI will address one of the more ambitious challenges in the industry 4.0: the zero defect manufacturing, by applying cutting-edge information and communication technologies in the development of a multi-material and multi-defect detection and anomaly prediction system. Main innovation regarding current state-of-the-art is that the system to be developed within this project will allow the real-time, simultaneous analysis of multiple types of defects in different materials, without the need to have different inspection stations for each type of defect. This system will be scalable and customisable for the quality control of any part manufactured in a production line. The application of artificial intelligence will allow establishing a correlation between the variables of the production process and the anomalies that the manufactured parts could present. The use of IoT technologies for monitoring and real-time sensoring will be essential to guarantee obtaining adequate datasets in terms of size, quality and labelling which allow feeding both the defect detection and the anomaly prediction modules, and thus result in a robust and reliable system.

Project partner

Number Name Role Country
1 IZERTIS, S.A. Coordinator Spain
2 Sirris Collective Center for Technological Industry Partner Belgium
3 BEIA Consult International SRL Partner Romania
4 PETAL S.A. Partner Romania