Use the VISION.SPECTOR from MABRI.VISION to examine defects and anomalies in tissue structures
In our series "What We Test," we showcase a new and exciting area each month where our testing systems are used. This time, we're focusing on defects, specifically in tissue structures.
We wish you a happy Easter with hopefully beautiful weather and a full Easter basket on Easter Sunday!
Check for microscopically small defects and anomalies in production
In our series "What We Test," we showcase a new and exciting area each month where our testing systems are used. This time, we're focusing on microscopic defects.
Today we're introducing our MICRO.SPECTOR. A testing system that can fully automatically inspect microstructured components and products for defects, shape deviations, and dimensional accuracy under cleanroom conditions.
Here at MABRI.VISION GmbH, we can no longer keep our incredible new development to ourselves! It's time to introduce you to the fantastic, breathtaking, and absolutely discreet HARVEY.SPECTOR!
Our LINE.SPECTOR was stationed at the factory for several years, reading and verifying QR codes on tires. Now it's back and has been upgraded to include a DOT reading bridge!
Electronic components perform key functions in a rapidly growing number of products. The necessary production capacities place the highest demands on quality requirements in order to reliably detect common defects such as housing breaks, bending, runout, incorrect component placement, mold defects, burrs, and undermolding.
Today is a big day for us! Our CARRIER.SPECTOR has set off for Wuxi, China! We are proud that our equipment continues to advance industry and technology standards.
For these tasks, we prefer to rely on high-precision positioning technology with linear motor axes from Switzerland in our MICRO.SPECTOR and VISION.SPECTOR testing systems.
In collaboration with the Society for the Promotion of Applied Informatics (GFaI) eV and the ITA Institute for Textile Technology of RWTH Aachen University, we have developed a testing system for the automated detection and classification of draping defects in different fiber materials.