Thursday, July 13, 2023
KSM Vision, a start up based in Poland, offers an AI-driven optical system for quality control for industries including lumber. It can save businesses over EUR 0.5 million on salaries alone in a year while greatly enhancing worker safety, according to the company, and automate quality control of flaws as small as a pinhead.
Backed by a EUR 1.9 million investment from Aper Ventures, VIGO Ventures, and co-investors, KSM Vision aims to augment efficiency and reduce waste in the lumber industry as well as in the pharmaceutical, beauty, and food industries.
The financial burden of quality control weighs heavily on large-scale manufacturers. The cost of manual labor in that area has been significantly increasing – with 0.5M being spent solely on the salaries of quality controllers. Simultaneously, workers work in dangerous conditions risking their health. Reports indicate that companies lose a significant amount of products needing to be scrapped due to undetected flaws.
“We can support quality control in different industries – from lumber to pharmaceuticals. Our advantage lies in our proficiency in both hardware and software. This allows our AI solutions to easily merge with existing technologies, whether production lines or machines. Five minutes is how long it takes to adapt to a new product. Solutions without neural network embedded take significantly longer: efficiency and accuracy are in the DNA of our system,” said Dr Krzysztof Malowany, CEO of KSM Vision.
Through KSM Vision’s system, one can scan up to 36,000 items every hour. Early detection of these flaws spares manufacturers the expense of throwing out an entire batch, stops the market from acquiring subpar goods, and eventually helps to create a more sustainable and effective production process.
Source: Woodworking Network
Tags: AI driven optical system, AI Optical System, augment efficiency, automate quality, Dr Krzysztof Malowany, introduction, KSM Vision, KSM Vision system, large-scale manufacturer, Lumber, lumber industry, newest innovation, quality control, technology
