USS Vision Inc.

SPLIT DETECTION

SPLIT DETECTION

Another “first” from USS Vision.

In manufacturing stamped metal parts splits naturally occur in corners and deep draws. Typical processes dictate humans identify splits to prevent them from being assembled into a finished product. This process inevitably leads to splits being undetected and moving on to the next step in the assembly process which can result in warranty costs or failure in the field.

Automating the split detection process has been a goal in manufacturing for decades. Traditional machine vision systems are not capable of reliably detecting splits. At USS Vision we know this since we have tried to apply traditional machine vision to this application.

Recent developments in machine learning artificial intelligence present a means to tackle this application. Using machine learning we now can reliably detect splits down to 3mm in length. Our solution has been refined to a “kit” which can be installed in or near a variety of stamping presses. Our kit comes with a machine learning model template allowing for quick commissioning. Post commissioning our machine learning software consistently refines itself over time. Our system passes machine vision Gage Repeatability and Reproducibility standards and vastly improves customer’s quality while reducing labor costs.