27/10/2015
electronic workshop
At Lenz Instruments, we are specialists in the development and manufacturing of advanced inspection systems for industrial sectors such as the meat industry, recycling, and photovoltaics. Our equipment is designed to operate in the most demanding industrial environments, ensuring precision and reliability at every stage of the process.
We offer tailor-made solutions using various advanced technologies, such as:
Each of these technologies is specifically tailored to meet the needs of our clients, helping them improve their processes and optimize their production.
In addition to our inspection systems, we offer engineering services for designing customized solutions. Our team of experts advises you on selecting the best technologies, developing implementation strategies, and providing comprehensive technical support to ensure the success of your projects.
We understand the importance of non-destructive industrial inspection in improving the quality and efficiency of production processes. Our systems are designed to help you control and optimize every phase of production, ensuring the highest quality standards.
At Lenz Instruments, we work closely with our clients to build long-term relationships based on trust. Our innovative approach and dedication to excellence position us as leaders in the field of industrial inspection.
Contact us today to learn more about how we can help you improve your processes.
⚙️ The last week, the new QMEAT PROBE™ that we have improved thanks to the DREAMHAM project left our facilities on its way to Italy.
Its destination 📍Rovagnati S.p.A. a company that produces all types of typical Italian sausages. QMEAT PROBE™ is an inspection system that allows non-destructive analysis of meat quality parameters such as texture and water retention capacity of pork. In particular, the system allows detecting meat with PSE (Pale, Soft & Exudative) defects.
In close relationship with Rovagnati S.p.A., pilot tests will be carried out to validate the improvements implemented, including the adoption of #Artificial Intelligence to improve prediction models.
Thanks DREAM Eurocluster for this opportunity! 👏
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