Air gauges are non-contact devices that utilize air pressure for measurement. They play a crucial role in ensuring precision and quality control in the manufacturing industry, from automotive to aerospace industries. They are particularly valuable for measuring delicate or easily deformable materials.
Traditional machine vision used rule-based programming for controlled environments but struggled in less controlled settings. Edge learning AI, operating directly on vision systems, enhances machine vision's power and usability, revolutionizing quality assurance and manufacturing processes.
Enable a manufacturing quality-driven collaboration between suppliers and buyers to eliminate interpretation, reduce costs, risks, and expedited delivery time.
A leading aircraft manufacturer faces $27B in losses due to slow supply chain fixes, aggravated by escalating quality standards like AS9102 Rev C. The solution lies in seamless communication of requirements from buyers to suppliers, streamlining operations for all parties involved.
Theia's lenses help capture clear images of car crash testing. The MY23F lens is rugged and can survive impact at 50mph, while providing undistorted images.
Manufacturers that routinely challenge their leak tightness testing process will consistently produce products with reliable performance, battery longevity and safety.
The transition from ICE to electric powertrain requires a complete review of the approach to quality and process controls. Some existing checks for ICE find even more extensive applications for the EV sector.
A Q&A with Reed Switch Developments Corp. president Debra Dahlin, and Engineering and QA Manager, Jeff Rosenbaum, to talk more about its holistic approach to quality.
For quality assurance purposes and to optimize the manufacturing workflow, machine vision is employed throughout the entire process to identify production errors, damage, or impurities early on.
We will explore the use of CMMs, advancements in technology, and their growing contribution to support leading developments in automation, artificial intelligence, and machine learning.