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CCM

Microscopic Counting and Classification

In the field of industrial and pharmaceutical microbiology, accuracy in the counting and classification of microorganisms is critical.

CCM is our advanced machine vision solution designed to transform these processes, delivering speed, accuracy, and full traceability in every analysis. Thanks to its intelligent technology, CCM enables the automated visual detection and differentiation of different types of bacteria, optimizing analysis time and reducing human error, while also providing reliable support for manual counting procedures.

Applications

Classification

Counting

Key Features:

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How CCM Works:

The CCM solution combines advanced vision hardware with machine learning algorithms to identify microscopic visual patterns characteristic of each type of bacteria. Adjustable illumination highlights specific details of each cell, while AI algorithms automatically classify and count the microorganisms. This approach not only accelerates the process but also ensures a high level of accuracy and repeatability.

With CCM, laboratories can increase productivity, reduce variability in analyses, and obtain more detailed information to support decision-making, ensuring superior quality control and reliable results in every assay.

Benefits

Safety

100% of production inspected with machine vision. All visible defects are detected.

Cost Efficiency

Defects identified before costly market recalls.

Customer Loyalty

Flawless products, ensuring maximum customer satisfaction.

AI – Unprecedented Precision

Our system goes beyond traditional vision programming. It integrates AI, using neural networks to learn the ideal appearance of each product, package, and label. This provides a unique capability to detect unpredictable or subtle defects while tolerating product variations without errors. It is the perfect fusion, combining the flexibility of the human eye with the speed and robustness of Artificial Vision.

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