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COUTH makes the leap to Industry 4.0 with the acquisition of the Barcelona-based company E2M, specialized in artificial vision systems for quality control.
If you were unable to attend the Webinar on E2M COUTH® solutions for the inspection of the solidarity plug, we leave you the link to the recording on our youtube channel.
Thank you to all those who visited our booth at HISPACK 2022 and expressed their interest in our solutions.
We do not forget to thank the E2M COUTH teams who have contributed to the success of this participation.
See you at upcoming events!
Markets have grown increasingly competitive, which is why companies tend to face different challenges. For this reason, they
Every production line has its own requirements for quality, speed, and traceability. That’s why choosing a machine vision inspection system isn’t just about selecting a camera or software—it’s about analyzing how the process behaves and what goals you want to achieve. The right solution can help automatically detect defects, reduce
At E2M COUTH, we know that foreign body detection in food is not only a quality checkpoint; it is a direct safeguard for consumers, brands, and production efficiency. In canned food lines, a small fragment, residue, or visible contaminant can compromise safety, force product rejection, and create avoidable waste. That
At E2M COUTH, we know that food traceability starts with a reliable mark. Lot codes, expiration dates, batch numbers, QR codes and Datamatrix codes connect each product to the information manufacturers need for control, distribution and recall management. For decades, inkjet printing has been a common choice for product coding.
At E2M COUTH, we offer machine vision and industrial marking systems to improve quality control on pharmaceutical production lines. In this context, pharmaceutical serialization is key to identifying each product unit and strengthening traceability from manufacturing through distribution. In the pharmaceutical sector, it’s not enough to know which batch a
Modern production lines operate at unprecedented speeds, making automated inspection vital to avoid costly operational mistakes. Traditional machine vision relies on fixed, rigid rules, but integrating Deep Learning quality control completely changes the paradigm. By implementing artificial intelligence vision, manufacturing systems can analyze images, learn from examples, and detect patterns
In many industrial settings, stopping a production line to perform marking directly limits the line’s productivity. As production speeds increase, there is a growing need to implement systems capable of marking accurately without interrupting the process flow. In this context, E2M COUTH’s Mark on The Fly (MOTF) solutions allow for
