AOI Airon UG

12/02/2026

12/02/2026

12/02/2026

Franzi und Dennis waren letzte Woche bei den Hackdays der WAL‑Realschule in Bötzingen zu Gast.
In einem praxisnahen Vortrag haben sie gezeigt, was SensoPart macht, warum Automatisierung wichtig ist und wo Sensorik überall steckt. Zusätzlich gab es spannende Einblicke, wie man einem Roboter sprichwörtlich ein Auge verleiht, denn ein kleiner Cobot war ebenfalls mit dabei.

Das Interesse war groß und die Klasse hatte sichtlich Spaß mit Dennis und Franzi.

12/02/2026

12/02/2026

🚀 𝐒𝐭𝐫𝐚𝐭𝐞𝐠𝐢𝐜 𝐏𝐚𝐫𝐭𝐧𝐞𝐫𝐬𝐡𝐢𝐩 𝐀𝐧𝐧𝐨𝐮𝐧𝐜𝐞𝐦𝐞𝐧𝐭 | 𝐎𝐏𝐓 × 𝐒𝐡𝐚𝐧𝐠𝐡𝐚𝐢 𝐘𝐢𝐲𝐚𝐨 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐲

OPT is proud to announce a strategic partnership with Shanghai Yiyao Technology, a leading intelligent technology group under Fosun International, to jointly build the next generation engine of global automotive intelligent manufacturing.

By combining OPT’s strengths in machine vision, sensing technologies, motion components, and full stack visual solutions with Yiyao Technology’s deep system integration expertise and global automotive manufacturing experience, both parties will engage in comprehensive and long term collaboration across the automotive intelligent manufacturing value chain.

🌍 Strategic Synergy to Empower the Global Automotive Industry
This partnership unlocks strong synergies to accelerate the deployment of intelligent manufacturing solutions worldwide. OPT will leverage real production line data from global automotive projects to continuously optimize vision hardware, algorithms, and system level solutions. At the same time, Yiyao Technology will enable large scale implementation through its global system integration capabilities and proven delivery experience across China, Germany, the United States, and Mexico.

Together, we aim to build a full lifecycle innovation ecosystem covering technology research and development, product innovation, and real world application, delivering solutions that are more adaptable, reliable, and competitive for diverse automotive manufacturing scenarios.

⚙️ From Collaboration to Ex*****on Defining New Standards in Automotive Manufacturing
Through joint research and development, OPT and Yiyao Technology will develop high performance intelligent vision systems tailored for high speed, high reliability, and high flexibility automotive production lines.

By integrating OPT’s standardized hardware and core algorithms with Yiyao Technology’s deep understanding of automotive processes, this partnership will enable multi model flexible production, cost reduction, efficiency improvement, enhanced quality, and safety compliance.

This collaboration reflects a shared vision to close the value loop from core technology to system level solutions, while jointly advancing intelligent manufacturing standards.

Looking ahead, OPT remains committed to building an open and collaborative technology ecosystem, working with global partners to shape the future of smart manufacturing.

🔗 Stay tuned. This is just the beginning.
🌍 www.optmv.net

25/12/2025

🎄 Happy Holidays! 🎄

Wishing our valued partners, customers, and the entire machine vision community a wonderful holiday season and a prosperous New Year!

Thank you for your trust and collaboration in 2025. We look forward to supporting your precision engineering and automation goals in 2026.

The AIRON Team
Precision Machine Vision Solutions & Components

07/12/2025

🔋 A Glimpse Into the Future of Batteries: Where Physics Meets AI 🔋

Last month, our AIRON team attended the groundbreaking Symposium on Physics and Machine Learning for Batteries at RWTH Aachen University. We immersed ourselves in the next frontier of battery technology—where artificial intelligence, physics-based models, and advanced diagnostics converge to create safer, longer-lasting, and more efficient energy storage.

🧠 Key Insights from Global Experts:
• Dr. Weihan Li (RWTH Aachen) on creating "digital twins" of batteries to predict aging and failure.
• Prof. Anna Stefanopoulou (University of Michigan) on reducing high-precision expansion sensor costs from $2,000 to under $20.
• BMW, Université de Picardie, and Offenburg University shared cutting-edge perspectives on simulation, manufacturing, and diagnostics.

🏛️ Beyond Theory – Inside the Lab: We toured Dr. Li’s CARL research center, witnessing firsthand the laser measurement stations, cycling benches, and post-mortem analysis that turn data into real-world innovation.

At AOI AIRON, we are committed to integrating these pioneering advances into practical, robust, and accessible vision solutions for the battery industry. Because the future isn't just invented—it's measured, validated, and built cell by cell.

👉 Dive into the full event recap and expert summaries here: https://aoi-airon.com/f/a-look-into-the-future-of-batteries-insights-from-the-symposium

22/11/2025

⚡Online Fluorination Tube Wall Thickness Measurement

In fluorination tube production, three C4000F probes work simultaneously under the CCF controller to deliver high-precision online wall thickness measurement.
Key specifications of C4000F:

38 ±2 mm measurement range
±21° measurement angle
< ±0.8 μm linearity error
Minimum measurable thickness: 5% of F.S.

With multi-probe simultaneous measurement, the system ensures consistent tube quality and real-time monitoring for high-precision production.

TronSight — Precision Measurement Expert
👉 Learn more: en.tronsight.com

13/11/2025

Can AI and machine learning models be used to predict wildfires? Students can experiment with the Prophet machine learning model to find out.

Directions: https://sbgo.org/wildfire25-fb

03/11/2025

See you at the inVISION Surface Inspection Tech Talk! 🎤

We're revealing how TronSight's precision sensors are solving the toughest quality challenges.

🎯 FREE WEBINAR: November 5, 2 PM CET
💻 Register Now: https://openwebinarworld.com/en/webinar/surface-inspection-2/

25/10/2025

Transforming operations is no longer a distant dream. Our cutting-edge machine vision solutions are designed to enhance efficiency and ensure zero defects in your production processes. Visit us at aoi-airon.com to learn more.