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Machine vision

Machine vision is a technology that enables equipment to “see” and recognize objects using cameras and software analysis.
It is used for quality control, measurements, identification, and guidance in automated systems.

Advantages of using machine vision

Machine vision improves quality, reduces errors, and speeds up processes through automatic object recognition and real-time analysis

  • Improved product quality

    Automatic inspection enables the detection of defects, errors, and inconsistencies with high accuracy

  • Reduction of human factor influence

    A machine does not get tired, distracted, or make mistakes during visual inspection

  • Time and resource savings

    Inspection is carried out faster than manual checks and with less waste

  • Accurate identification and sorting

    Systems can detect barcodes, labels, colors, sizes, and shapes — and sort products directly in the flow

  • Support for robotics

    Machine vision is used for robot guidance, bin picking, packaging, and stacking

  • All information in numbers

    Data is recorded, stored, and can be used for analytics, statistics, and process improvement

Ключевые предпосылки внедрения машинного зрения

The implementation of machine vision becomes relevant when enterprises aim to improve quality consistency, reduce the influence of the human factor, handle increasing volumes and product variety, and integrate visual inspection into a digital management system to prepare for full process automation

  • Requirements for consistent product quality

    Manual inspection does not provide the required accuracy and repeatability
    1

  • Growth in production volumes

    Increase in production volumes
    2

  • Operator fatigue and errors

    The human factor becomes a bottleneck on the production line
    3

  • Need for digitalization and traceability

    It is important to record data, store photo reports, and integrate with ERP/WMS systems
    4

  • Product variability

    Numerous product types, colors, and sizes - difficult to control manually
    5

  • Preparation for full automation

    Machine vision is essential for controlling robots, sorters, and packaging systems
    6

Examples of machine vision applications

Machine vision is applied in mechanical engineering, food and pharmaceutical industries, logistics, packaging, and electronics — everywhere precision, quality control, sorting, and automation of visual processes are essential

  • Geometry inspection

    A camera measures the geometry of parts and compares them with a reference model, preventing defective products from being shipped to customers

  • Liquid level inspection

    Automatic inspection of cap presence and bottle fill level

  • Predictive maintenance

    Visual inspection of equipment to predict potential failures

  • Volume measurement

    A camera with LiDAR determines the load level of a dump truck body

Our contacts

Companies around the world are already automating processes and increasing profits
Don't miss your opportunity — trust a team that delivers fast, precise, and result-driven technology implementation
Phone: +7 705 111 20 10
E-mail: info@vexor.kz
Kazakhstan, Astana, 53 Kabanbay Batyr Avenue, Technopark
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