The new role of Artificial Intelligence in manufacturing
The manufacturing industry is undergoing a profound global transformation. Rising energy and raw material costs, labor shortages and increasingly stringent quality expectations are driving companies to adopt new technological solutions.
Traditional human-based quality inspection faces significant limitations. Repetitive visual checks are exhausting, the risk of human error increases, and in certain industries, hundreds of products may need to be inspected within seconds. Over time, such demands can be handled most effectively by systems powered by artificial intelligence.
The Siemens Industrial AI visual inspection solution provides a powerful response to these challenges. Built on advanced camera systems and neural networks, a properly trained AI can identify even microscopic defects and detect faulty products with up to 99.9% accuracy.
The system communicates with production lines and robots in real time through the Profinet network, enabling immediate removal of defective items from the process. This significantly reduces the propagation of scrap and the associated costs.
At the heart of this solution lies the Siemens Edge platform, which serves as the nervous system of industrial artificial intelligence within manufacturing environments. The Edge platform allows AI algorithms to run directly at the production site with low latency and high availability, while meeting the strict reliability and security requirements of industrial settings.
A key advantage of Siemens Edge is its ability to bridge OT and IT systems: it can process real-time data from the production line and forward it for higher-level analytics, reporting or integration with enterprise systems such as MES or ERP.
Adatcsere különböző gyártók HMI/SCADA/MES/ERP rendszereivel
Data captured by AI is visualized in dashboards, and automatic reports support the identification of recurring defects and the continuous fine‑tuning of production processes. As a result, not only does the quality of finished products improve, but production efficiency and transparency also increase substantially.
Experience shows that AI‑based quality inspection can reduce quality control costs by 30–50% and lower scrap rates by 10–40%, depending on the industry and application.
As one of Hungary’s leading software development companies, evosoft plays a key role in the successful implementation of these solutions. Its experts possess deep knowledge of IT/OT integration, whether it involves PLC integration or connectivity with MES or ERP systems. Local expertise ensures that Industrial AI projects become successful not only from a technological standpoint but also from a business perspective.
The collaboration between Siemens and evosoft represents not only technological progress but also a shift in mindset: manufacturing is no longer merely automated; it is becoming truly intelligent.
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Gábor Kozó - Program Manager (LinkedIn)