Print

December 15, 2020

Manufacturers currently using manual processes for quality inspections are facing two major challenges. One is a rising demand for product quality, variety and reliability. The other is the need to protect workers from COVID-19 through social distancing on the manufacturing floor. Both are creating intense pressure to automate visual inspection needs.

Fortunately, artificial intelligence (AI) is reaching the stage where it can discern object features previously unrecognizable by automated systems. When AI’s ability to automatically learn visual criteria meets powerful image capturing and processing technology from Omron’s FH Series vision system, automating complex visual inspection tasks becomes much more effective.

Factors that complicate efforts to automate visual inspection

When it comes to visual inspection, reliably identifying subtle defects is key, even on flexible lines with items that vary widely in color, size and other aspects. Since these tasks have been particularly troublesome to automate, they’ve traditionally relied on the sensitivity and knowledge of technicians with long-term experience.

By including AI as part of the FH Series vision system, Omron are helping manufacturers automate vision inspection with a lightweight, easily integrable solution. Although AI has traditionally required a special environment, this vision system doesn’t need a dedicated AI engineer for setup or adjustment at manufacturing sites. 

Key benefits of the FH Series with AI defect detection tools

The FH Series incorporates Omron’s three-plus decades of experience with image processing and visual inspection to maximize the inspection capability without needing to learn enormous amounts of data. Adding AI to the mix takes automated visual inspection to a whole new level.


Source