WeldEye enables remote work in welding production

Internet of Things has been a buzz word among industry representatives for a few years now. It is discussed in various seminars and workshops every week. However, the topics covered have changed over time. In the beginning, the focus was on connecting devices to data networks. The next phase was adding sensors for various events and phenomena.

Digitalisering

The increasing complexity of welded products has made the development of welding procedure specifications (WPS) more time-consuming. As industries move to subcontractor and multi-site based operating models, WPS management also becomes more demanding.

Digitalisering

No matter who you are, what you do or where you are in the world, you are never far from a weld. People might not always realize it when they go about their business, but high-quality welding has a daily role in our built environments. Welds hold buildings, ships and steel frames hidden within walls securely together.

Digitalisering

Welding safety has become increasingly demanding. The hazards at the arc remain constant, but modern working conditions mean exposure can accumulate over longer shifts and in tighter indoor spaces. As a result, welding PPE needs to be treated as both protection for the welder and proof of compliance. At Kemppi, welding safety PPE is designed and validated in practice through clear requirements, welder-led feedback, and verified compliance with EU PPE Regulation 2016/425, CE marking processes, and relevant EN standards.

Sikkerhet, Sveise-ABC

Eurosatory 2026 highlighted a clear shift in modern defence manufacturing. While defence systems are becoming more digital, networked, and autonomous, their foundation remains physical. From armoured vehicles and artillery to industrial resilience, welding quality, steel structures, and production discipline remain paramount to defence readiness.

Digitalisering, Innovasjon

The AITOOLS1 webinar explored how AI-assisted process control, machine vision, synchronized data, and machine learning models are advancing robotic welding automation, improving quality management, traceability, and production flexibility for demanding industrial production.

Automatisering av sveising, Innovasjon, Digitalisering