Generative AI and machine learning tools are particularly appealing as they offer insights into the underlying relationships within manufacturing processes.
Automated quality inspection cells help achieve zero-defect production and increase throughput through 24/7 operations. However, unexpected stops in complex, AI-powered cells can pose challenges due to unpredictable scenarios and edge cases.
Manufacturers face complex challenges, including attracting and retaining labor and adapting to a volatile market. Skilled human labor remains crucial despite advancements in automation.
The aerospace industry is one example of where the marrying of automation and metrology is being adopted to elevate product quality and operational excellence.
The aerospace industry uses automation and metrology to improve product quality and safety. Components require precise measurements for high quality and efficient production.
The aerospace industry constantly seeks new technologies for a competitive edge and enhanced capability. AI and maching learning in additive manufacturing offer significant value for meeting industry needs.
In a world where AI vision technology is setting new quality control standards across industries, machines can now detect even the smallest defects in car parts and ensure that every packaged product meets health standards.
Quality spoke with David Dechow of Machine Vision Source following his recent presentation at The Quality Show South about vision solutions for quality applications and integration that drives application success with current and emerging technologies.
Wauseon Machine, a leading provider of automation solutions, tube forming technologies, precision machining, and fabrication, announced that Chief Revenue Officer (CRO), Joe Gemma, was awarded the prestigious Joseph F. Engelberger Robotics Award for 2024, recognizing his exceptional leadership and contributions to the automation industry.