Automated Quality Control

Fast, reliable quality inspections are essential to ensuring consistent throughput without sacrificing quality.

Thanks to advancements in laser measurement technology, sensors can now measure traditionally challenging targets (including clear, reflective, and low contrast targets).  For example, the Q4X laser measurement sensor reliably inspects extremely dark targets on aginast an equally dark background.   

in addition, thanks to dual mode which measures both distance and light intensity, smart laser measurement sensors from Banner can reliably inspect both distance-based and contrast-based conditions with a single device, which saves inventory costs. 

Furthermore, with IO-Link communication, users can track sensor performance, identify trends in inspection results, and even predict when maintenance is needed so that simple problems like a dirty lens can be fixed prior to sensor failure.

Error proofing refers to preventing a process from resulting in defects by stopping mistakes at the source, rather than down the line.  Preventing mistakes at the source can significantly improve productivity by keeping mistakes from becoming bigger problems downstream.  

In automated processes, error proofing solutions like sensors and vision systems can be used to ensure poblems are corrected before a process can proceed.  

Meanwhile, in manual processes, such as bin picking, visual warnings clearly indicate  to operators when their actions are correct or incorrect using colored and/or animated lights. Light-guided assembly is an excellent example of using visual indication for error-proofing.