The TASTI project aims to advance synthetic image generation by developing a modular and transferable framework that enables application-specific synthetic data creation for industrial use cases.

Achieving higher quality standards in manufacturing requires robust and fault-tolerant production systems. TASTI addresses this need by generating application-specific synthetic images that enhance AI model training while providing a reusable framework adaptable to a wide range of industrial applications.

The proposed framework combines cloud and edge computing infrastructures with advanced hardware acceleration technologies to deliver high-performance synthetic image generation. It also integrates AI-driven software components and algorithms within a unified architecture, enabling scalable, efficient, and flexible deployment across diverse industrial environments.