Tackling Challenges, Embracing Opportunities, and Unlocking the Potential of AI in European Manufacturing
Introduction
In today’s fast-evolving manufacturing landscape, adopting advanced technologies like artificial intelligence and robotics is no longer optional—it’s essential. For Irida Labs, a leading technology provider of software IPs for Edge Vision AI sensors and solutions, integrating AI into their operations was key to addressing quality assessment on welding metal processes, rising production demands and the needs for increased efficiency and digitization of processes.
Thanks to their collaboration with AI-MATTERS, Irida Labs was able to accelerate their vision AI adoption journey and achieve measurable results in QA/QC manufacturing processes. This is their story.
About Irida Labs
Irida Labs is a leading technology provider of software IPs for Edge Vision AI sensors and solutions, targeting in industrial automation, manufacturing and smart cities & spaces applications. Our embedded vision technology is based on conventional computer vision and machine/deep learning methodologies, combined with advanced heterogeneous programming techniques to unleash visual perception in any system or device. Our mission is to build and deploy edge Vision AI sensors and solutions, all the way from small-scale POC to fully scaled commercial products.
The Challenge
Every organization embarking on an AI transformation faces unique hurdles. For Irida Labs, the main challenge was to create value proposition by scaling vision AI-powered solutions and penetrate to a global manufacturing market that is not yet explored. Additionally, they needed support in access to RSW equipment and related testing facilities to execute the different experiments, as well as manufacturing know-how about defects that will help minimize the needed time for labelling.
“We knew that vision AI could provide valuable insights and measurable data in assessing the quality of welding metal processes and help us streamline operations, but we didn’t have the proper testing facilities or expertise to experiment with the technologies ourselves,” explains Christos Theocharatos, COO, Irida Labs.
The Solution
AI-MATTERS provided Irida Labs with the resources and expertise they needed to overcome these challenges. Through access to state-of-the-art testing facilities, tailored technical guidance, and a realistic test environment, the organization was able to test and validate new vision AI models for production optimization.
“Working with AI-MATTERS allowed us to experiment with AI technologies in a controlled environment, giving us the confidence to integrate them into our vision AI product portfolio,” says Christos Theocharatos.
The Results
The collaboration between AI-MATTERS and Irida Labs delivered tangible outcomes. Some of the key results include:
- High-speed prediction of expulsion defects and diameters prediction in under 2 seconds.
- Around 10% reduction of robotic automation costs, in case of a detecting a defective process.
- Improved product quality through AI-powered predictive maintenance.
- Upskilled 10 employees in AI-based manufacturing technologies
“The results we’ve achieved with AI-MATTERS exceeded our expectations. It’s not just about the technology—it’s about gaining access to manufacturing processes and entire market segments” adds Christos Theocharatos.
Looking Ahead
Working with AI-MATTERS has been a pivotal step for Irida Labs in their AI adoption journey. Moving forward, they plan to scale the vision AI solutions across additional QA processes and explore new vision AI applications for logistics and supply chain optimization.
“AI-MATTERS has been a true partner in innovation, helping us navigate the complexities of AI adoption while driving real results,” concludes Christos Theocharatos.
Conclusion
Irida Lab’s story demonstrates the transformative potential of AI in European manufacturing. By addressing challenges head-on and leveraging the resources of AI-MATTERS, they’ve paved the way for a future of smarter, more efficient operations.
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