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Machine vision and its industrial applications

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Machine vision is a discipline that has many applications in the industry through specially designed systems.

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The ability to acquire, process, and analyze images of the environment to produce useful information is what defines machine vision as a discipline.

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However, it is the systems created with the purpose of solving specific situations that transform this concept into an effective technology, especially in the automation of industrial processes.

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Types of machine vision systems

Depending on the technology used to capture, process, analyze and execute an action, machine vision systems can be classified into four types:

  • Vision sensors: offer more precision than photoelectric sensors and failure results.

  • Smart Cameras: provides better resolution, computing power that allows for embedding in small spaces, although they require a processor, input, and output mechanisms.

  • Integrated vision systems: These are integrated within the automation elements, allowing the connection of multiple remote viewing heads in a single element of the process.

  • Advanced vision systems: they have more hardware, software, and processes, making them extremely complex applications to integrate into machines or original equipment.

At E2M, we offer a consulting service specializing in the design, installation, and manufacture of quality control equipment adapted to the needs of the market.

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Innovation in the field of machine vision systems online production inspection has been our activity for more than 25 years, we provide tailor-made equipment for different sectors:

  • Food and beverages: quality control of products and primary, secondary and tertiary packaging.


  • Logistics: inspection equipment for packaging control and traceability.

  • Pharmaceutical industry: equipment for quality control, product inspection, serialization, traceability, aggregation, and packaging.

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E2M team members have extensive experience and qualifications to reach all customer needs and develop a strategy for the application of machine vision systems tailored to their requirements.

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