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In today’s rapidly evolving industrial landscape, the role of data in manufacturing has undergone a paradigm shift.

Untethered soft robotics, electronic skin-innervated platform resembles an inchworm that moves easily through the crevasses and curves of jet engine parts to detect part defects or corrosion, and can even measure the thickness of thermal barrier coatings.

In the era of Industry 4.0, where automation, data-driven decision-making, and efficiency are paramount, smart factories are transforming the manufacturing landscape. Central to this transformation is the adoption of 5G

TEDS chips are small memory chips based on a 1-wire bus communication system, which, when integrated into a sensor, can store information on the type of sensor being used, any operating information and the calibration.

Imagine a world where work is not bound by limits, where humans and artificial intelligence join forces to create a new era of productivity. Welcome to the realm of AI-driven cobots – the future of work.

Artificial intelligence has the potential to deliver game-changing results for quality inspection and defect detection.

Despite a stable outlook for 2023, projections for the global machine tool industry are tempered by various international and economic challenges.

Quality control is vital for ensuring parts and products are made to specification and function as expected. It is also essential for maintaining consistency and repeatability in manufacturing operations.

The foundation of all digital manufacturing systems is data. When we think about manufacturing data, it is helpful to segregate data into two types – measured data and processed data.