Using artificial intelligence, researchers from the Warsaw University of Life Sciences (SGGW) have developed a system to monitor drill bit wear in the furniture production process, according to Anita Kruk of the SGGW Promotion Office.

Researchers from the Institute of Technical Informatics at SGGW and the Institute of Wood Science and Furniture at SGGW teamed up, resulting in a system for diagnosing drill bit wear in furniture production.

“Our system assesses the hole and assigns it to one of three classes”, explains Dr Michał Kruk, Professor at SGGW. “A green class means a good hole and a sharp drill bit. Yellow class means that it is not bad, but it should be noted that there is already a problem. And a red grade means that the drill bit needs to be replaced, because it will damage more and more holes. And then the raw material in which the holes are created will also have to be replaced, exposing us to additional costs”, he adds.

Monitoring the condition of tools is a significant problem in furniture production and related industries. With a system using artificial intelligence, the production process can take place faster, more efficiently and more predictably.