AI is profoundly reshaping manufacturing, enabling businesses to achieve higher quality standards, greater operational efficiency and more imaginative resource utilization.
AI-powered predictive maintenance helps anticipate machine failures, allowing for proactive action that saves time and costs. According to a Deloitte study, 86% of manufacturing executives believe that AI and intelligent technologies will enhance competitiveness in the next five years.
Machine vision is vital for industrial automation, providing essential image analysis amid labor shortages. Effective implementation relies on precise lighting to ensure high-quality images, with different applications requiring specific setups, such as backlights for measurements and line scan lights for fast-moving materials.
The American Society of Mechanical Engineers (ASME) is partnering with Autodesk Inc. on the initiative, which aims to address the manufacturing skills gap.
NEW YORK, NY—
By the end of this decade, manufacturers worldwide will generate 4.4 zettabytes of data. Many organizations currently lack the expertise needed to leverage this massive influx of data fully, resulting in inefficiencies and revenue losses of hundreds of millions of dollars annually.
Engineers at the University of Virginia (UVA) have created a more efficient way to optimize manufacturing systems, improving both speed and quality while reducing waste.