New standards in precision and efficiency

The use of modern AI welding technology and AI-supported cutting processes is fundamentally changing joining and cutting. By evaluating large amounts of data, patterns can be identified and anomalies in weld seams can be detected in real time. Controls adapt automatically – for maximum precision and efficiency. USE demonstrates how AI-based quality control is setting new standards in both production and maintenance and how complementary technologies can be seamlessly integrated. It shows that deep learning in joining technology opens up exciting applications not only for specialists but also for suppliers.

From real-time analysis to autonomous manufacturing

Deep learning in joining technology and advanced algorithms are taking real-time monitoring of welding processes to a whole new level. Systems automatically adjust parameters to changing conditions and continuously optimise welding quality. This form of AI in welding technology increases process reliability, reduces scrap and minimises rework.

Focus areas of AI-supported manufacturing

AI welding technology

Adaptive systems that intelligently control welding parameters, immediately detect process deviations and ensure the highest quality standards.

AI-supported cutting processes

Algorithms that dynamically optimise cutting parameters, reduce material losses and shorten machining times – ideal for changing materials and production requirements.

AI-based quality control

Automated inspection systems that identify sources of error at an early stage and enable continuous process improvement.

Competitive advantage through AI – growth engine for metalworking

From precise robotic welding to flexible material processing – the use of AI welding technology, AI-supported cutting processes and real-time monitoring of welding processes offers manufacturers decisive competitive advantages. At USE, exhibitors can demonstrate how their solutions create added value in practice through AI-based quality control and intelligent process control – thereby reaching new customer groups in robotics, automation and manufacturing technology.

Artificial Intelligence and Machine Learning