The leader of Autonomous Machine Vision is using its signature product to inspect FFP2 face masks
A manufacturer based in Baden-Württemberg, Germany, recently installed the only Autonomous Machine Vision system on the market, the INSPEKTO S70, for the quality inspection of FFP2 face masks. The results are positive — the system ensures that masks are made to specifications and that the manufacturing line is not damaged in the process.
To help in the fight against COVID-19, Inspekto, the German-Israeli pioneer of Autonomous Machine Vision, has made its signature product available to Univent Medical GmbH, a face mask manufacturer based in Baden-Württemberg, Germany, who recently established a new production line to respond to the pressing market demand for emergency supplies.
The INSPEKTO S70 is the first self-contained, out-of-the-box vision inspection system for industrial quality assurance. Unlike traditional machine vision solutions, which are custom-built and require a complex, long and time-consuming integration process, the INSPEKTO S70 is a fully configured device which comes ready to use, only requiring final integration on the production line.
This makes the product ideal for manufacturers who need reliable quality assurance fast, eliminating the need to wait for the lead times of traditional machine vision projects, which require several weeks or even months to be developed and integrated.
The INSPEKTO S70 has recently been installed for the quality inspection of FFP2 face masks. In particular, the system is expected to detect defects in the masks' ultrasonic soldering, metal nose holder, company and CE-logo, and straps soldering. Inspection of the metal nose holder is of critical importance, as defective metal strips could permanently damage the cutting machine on the production line.
The last few weeks showed that the results of the installation are very positive, as the system was able to perform accurate and reliable quality assurance, flagging up masks that presented defects in the designated areas, as well as metal strips that could damage equipment.
"Manual inspection carries a very high error rate, and we can't allow that to happen when producing critical emergency supplies, such as face masks," stated Jürgen Eichinger, operations manager at Univent Medical GmbH. "Quality is at the core of all our operations, which is why we needed a flexible machine vision solution that would be quick to set up and easy to operate. We found the ideal partner in Inspekto."
"We are very proud to be part of the effort to meet the huge demand for high quality masks in these turbulent times. One of Inspekto's goals is to allow all manufacturers, small or large, to deploy top notch automated quality assurance," declared Ofer Nir, CEO of the company. "We realised early on that manufacturers need a flexible and cost-effective option to inspect their products, and that this need would become critical at some point. Now the moment has come and we are ready to help."
Vanessa Pfau, Manager for Germany at Inspekto, remarked that the flexibility of Inspekto's systems will be essential to support manufacturers in the post-pandemic scene.
"The INSPEKTO S70 is not product-specific. It autonomously learns the characteristics of any new product in about an hour, from just 20 good samples, then flags up any abnormalities during inspection. This means that it can be used to inspect a huge variety of different items," she explained.
"The face mask production line didn't even exist until a couple of months ago," she continued. "It has been developed through funds from the German Government to help manufacturers adapt their production lines to produce emergency supplies. The INSPEKTO S70 quickly learned the characteristics of FFP2 masks, but if the plant managers decide to switch production again in the future, they can use the exact same system to inspect a completely different product."
The INSPEKTO S70 could soon reach the plants of other medical equipment manufacturer to support them during the pandemic and beyond. To learn more about Autonomous Machine Vision, www.inspekto.com.