{"id":3431,"date":"2026-04-03T18:10:17","date_gmt":"2026-04-03T16:10:17","guid":{"rendered":"https:\/\/gr.ai-matters.eu\/ai-operator-guidance-manufacturing\/"},"modified":"2026-04-03T18:10:17","modified_gmt":"2026-04-03T16:10:17","slug":"ai-operator-guidance-manufacturing","status":"publish","type":"post","link":"https:\/\/gr.ai-matters.eu\/en\/ai-operator-guidance-manufacturing\/","title":{"rendered":"Driving Innovation with AI: How TRYGONS is Transforming Manufacturing with AI-MATTERS"},"content":{"rendered":"
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TRYGON’s Experience:<\/div>\n
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Introduction<\/strong><\/h2>\n

In today\u2019s fast-evolving manufacturing landscape, adopting advanced technologies like artificial intelligence and robotics is no longer optional, it\u2019s essential. For TRYGONS S.A., a leading composite parts manufacturer and developer of high-performance maritime platforms, including dual-use unmanned surface vessels, integrating AI into their operations was key to addressing the need to improve placement accuracy, process repeatability, and production efficiency during a critical manual sandwich assembly stage involving the identification and precise positioning of foam core components between composite fabric layers..<\/p>\n

Thanks to their collaboration with AI-MATTERS, TRYGONS S.A. was able to further refine, validate, and demonstrate its AI-enabled visual part recognition and projection-based operator guidance solution in a full-scale pilot under real production conditions, while systematically evaluating measurable performance indicators related to process time, material waste, cost efficiency, and overall process reliability. This is their story.<\/p>\n

The Challenge<\/strong><\/h2>\n

Every organization embarking on an AI transformation faces unique hurdles. For TRYGONS S.A., the main challenge was improving accuracy, repeatability, and efficiency in a critical manual sandwich assembly stage, where foam core components must be correctly identified and precisely positioned between composite fabric layers. Additionally, they needed support in developing an intuitive and easy-to-use human\u2013machine interface that would allow smooth integration into the production environment, facilitate acceptance and everyday use by operators, and at the same time strengthen internal know-how for the future deployment of similar AI-supported systems.<\/p>\n

“We saw a clear opportunity to address a demanding and error-sensitive stage of our production process with a more advanced and practical AI-supported solution\u201d explains Evagoras Zervas, European Project Coordinator & Mechanical Engineer at TRYGONS S.A.<\/em><\/p>\n

The Solution<\/strong><\/h2>\n

AI-MATTERS provided TRYGONS S.A. with the resources and expertise they needed to overcome these challenges. Through specialized technical guidance, appropriate testbed equipment, and a production-relevant validation environment, the organization was able to further refine, pilot, and evaluate an AI-based visual part recognition and projection-guided operator support solution for sandwich assembly under real manufacturing conditions..<\/p>\n

“AI-MATTERS supported us by providing a structured framework in which we could further develop and validate our solution in a practical and low-risk way”, says Evagoras Zervas<\/em><\/p>\n

The Results<\/strong><\/h2>\n

The collaboration between AI-MATTERS and TRYGONS S.A. delivered tangible outcomes. Some of the key results include:<\/p>\n