Project description
New software solution to ensure textile quality
The textile manufacturing process has several sources of defects, but more than 80 % of those originate from the knitting stage. Detecting these defects early in the production chain is difficult. The EU-funded SMARTEX project has developed a solution to help reduce defective production levels from 5 % to near zero. Its online software as a service (SaaS) is based on computer vision, machine learning and artificial intelligence and aims to become the main solution for the automation of the inspection processes in the textile industry. The technology has already performed successfully in real short-term environmental tests.
Objective
SMARTEX is a company committed to reducing the Textile Industry defective production (from 5%) to 0%.
Our dedicated and highly skilled team has made this possible by developing unique devices, which combine hardware and software built in-house to achieve such a goal. SMARTEX is able to detect defects during the production stage, offering an online software as a service (SaaS) based on Computer Vision, Machine Learning and Artificial Intelligence with the clear mission of becoming the main solution for automation of the inspection processes in the Knitting Textile Industry.
Currently, SMARTEX devices are in a prototype stage (TRL 6), since real short-time environment tests have been successfully performed and the market-fit is also validated by multiple LOIs and prices agreed with potential clients, including Decathlon group, PVH (Calvin Klein, Tommy Hilfiger, etc.), Kering (Gucci, YSL), in different continents.
SMARTEX’s disruptive hardware & software technology has been recognized with several grants and awards and has recently participated participate in the biggest hardware startup acceleration programme HAX (Shenzhen, China), backed by Smartex’s first investor SOSV (Sean O’Sullivan Ventures).
Fields of science
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- natural sciencescomputer and information sciencessoftware
- natural sciencescomputer and information sciencesartificial intelligencecomputer vision
- social sciencessociologyindustrial relationsautomation
- engineering and technologymaterials engineeringtextiles
- natural sciencescomputer and information sciencesartificial intelligencemachine learning
Programme(s)
Funding Scheme
SME-2b - SME Instrument (grant only and blended finance)Coordinator
4750 468 BRAGA BARCELOS
Portugal
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.