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Project description

Partners

ACD BILGI ISLEM Bil.Yz.Hiz.San.veTic.Ltd.Şti.Alpata TeknolojiAlphaSIP AragónBlue Agro BioscienceDelft University of TechnologyEindhoven University of TechnologyInovasyon Muhendislik Ltd. Sti.MenticeNRC-CNRC CanadaOtokarPhilips Electronics Nederland BVPhilips Medical SystemsSioux TechnologiesSolvay SAUniversité libre de Bruxelles (ULB)mode40 ltd.monkeyproof solutions bv

Countries involved

Ref:

2022005

Status:

Running

Project leaders:

Stefan Schalk - Philips Medical Systems

Key project dates

01/01/2023 - 31/12/2025

Abstract

The concept of using synthetic images for (training) simulators has already existed for quite some time and more recently, synthetic images are being used for the training of AI algorithms. The main goal of TASTI is to develop a modular framework of transferable technology to innovate synthetic image generation and tailor it to applications. The TASTI framework will be demonstrated in four different industrial domains: Healthcare, Automotive industry, Material production and Agriculture.
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