Smart Manufacturing

The metrology field relies heavily on precision and accuracy. However, traditional measurement processes often encounter challenges that hinder efficiency and accuracy. These pain points create a compelling case for integrating industrial automation into metrology practices. According to Extrapolate, the global industrial automation market is anticipated to reach a valuation of $405.96 billion by 2030. This article delves into how automation technology can be used to improve and overcome metrological challenges.

Global manufacturers are facing increasing demands for greater efficiency, customization, and sustainability, making the integration of advanced technologies essential. The shift to Smart Manufacturing 5.0 addresses these challenges by combining the innovations of Industry 4.0 with a focus on human-centric, resilient, and sustainable practices.

Sight Machine Inc. and Siemens AG recently announced a partnership bringing manufacturing AI to on-premises automation networks. Sight Machine’s Manufacturing Data Platform is an end-to-end software system for collecting, contextualizing, and analyzing all types of manufacturing data to improve production. It enables manufacturers to unlock the power of industrial data to increase profitability, productivity, and sustainability.

With each captured workpiece, the extended system reports rejects ‘inline’ and constantly optimizes its recognition, independently of adjustments in the milling process. The self-learning defect detection opens up new potential in manufacturing to save time and money in quality assurance.

Festo is setting new standards in process optimization on the shopfloor: By using AI and other smart software solutions, Festo enables its customers to achieve maximum flexibility and increased efficiency in their production processes.