To uphold the integrity of quality control and assessment, it is vital to maintain independence between the original equipment manufacturer and quality management.
Whether an automated machine vision system measures a spark plug’s gap, locates an assembly line item, reads 2D code, counts parts, checks for flaws or performs a host of other tasks, it is running at a greater speed and higher resolution than ever before.
Almost any application in the area of automatic identification (auto ID) raises fundamental questions about what the appropriate identification technology is for “my application,” but none more than track and trace.
“It’s the software, stupid,” quipped an industry executive regarding the importance of software relative to hardware components in machine vision systems.
Four vision industry leaders have been elected to two-year terms on the Board of Directors of AIA (Advancing Vision + Imaging), the industry’s trade group.