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The inLab FIB of the UPC is participating with the company Kapture Intelligence in a project to improve quality control systems in manufacture processes, based on a model of an artificial intelligence algorithm that detects when a part or product has suffered from a drop in quality level.
Kapture Intelligence is a company that is dedicated to the design, development, maintenance, marketing, distribution and exploitation of software, systems and IT products for managing quality in the industrial sector.
Recently, a service has been developed called Kapture.io, which offers clients tools for digitalisation of quality control processes and use of the information via graphic tools and an aggregate of data with Business Intelligence tools. The aim of this software is to gather all the data that are generated in the industry, in manual and automatic processes, digitalise them and integrate them into a single platform.
As part of the project, an algorithm has been designed and implemented that is based on various models of artificial intelligence (AI) that detects, in a preventative way and through patterns, when a part or product has suffered a drop in quality level. This detection is based on measures that are gathered at hundreds of points over a period of time.
In the project, inLab FIB was responsible for implementing the models of artificial intelligence (AI) that can detect patterns and warn of those that could lead to a drop in the level of quality.
The period of execution of the project was between January and April 2023.
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