Pekat Vision

Re-usable beer cups at a music festival

Ensuring Cup Cleanliness Inspection for Festival Use

PEKAT VISION’s AI solution streamlines cup cleanliness inspection for reusable drinkware, detecting defects and contamination, ensuring quality at festivals around Europe.
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Pasta Quality Inspection

Quality Inspection in Pasta Manufacturing

Discover how PEKAT VISION's deep-learning software helped a leading pasta manufacturer achieve precise quality inspection, ensuring perfect pasta length with a fast, scalable solution tailored to high-speed production lines.
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Automating Plant Selection with the Classifier Module

Learn how Machine Vision Consulting Srl used PEKAT VISION’s Classifier module to automate plant selection. The system inspects each plant’s health and density, offering consistent quality assessment at scale.
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Deep learning machine vision solution for PCB recycling

Deep Learning-based Machine Vision Solution for PCB Recycling

Recently we helped Arimation Robotics to develop a deep learning-based solution to rapidly sort over 6,000 PCB bords into 20 categories based on precious metal content, a task that was impossible for human operators due to the sheer volume and complexity.
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Textile rolls after inspection

The Challenges of Textile Inspection

Learn how PEKAT VISION helped a textile manufacturer overcome challenges in detecting defects on large-scale materials using the Anomaly Detection module and custom preprocessing.
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Square plastic blocks

Inspecting the Cleanliness of Plastic Boxes

See how PEKAT VISION ensures cleanliness of plastic boxes in the production of plastic toys, identifying and classifying various contaminants and anomalies.
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Loose tea mixed with stones

Using NIR Imaging for Food Quality Inspection

Explore how NIR illumination enhances contrast between objects and penetrates certain materials, allowing us to 'see through' layers, and proving invaluable in scenarios where traditional lighting methods fall short.
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Deep-learning abstract image

Machine Vision in Quality Inspection: Traditional vs. Deep Learning Approaches

There are two primary approaches to machine vision: traditional (rules-based) and deep learning-based. Understanding their differences, advantages, disadvantages, and specific use cases can help manufacturers choose the most suitable method for their needs.
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Deep-learning software PEKAT VISION in version 3.16. displayed on the screen

PEKAT VISION 3.16 Release

Introducing PEKAT VISION 3.16. From enhanced speed to refined user interface, this update represents a culmination of our ongoing efforts to make visual inspection technology more approachable and effective than ever before.
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Quality inspection with camera and light mounted on the robot arm

Expanding AI Quality Inspection Options

Collaborative robots expand the number of applications suitable for automated quality inspection, they are versatile, easy to set up, repeatable, and affordable. They are particularly helpful in inspecting complex, larger, or heavier product.
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PEKAT VISION is now part of Datalogic Group