Tomáš Matonoha

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 Unveils Innovative Smart Camera Solution

Introducing the Baumer VAX-50 Smart Camera solution with PEKAT VISION, representing another leap forward in industrial visual inspection, offering superior performance, ease of use, and scalability.
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Datasensing & PEKAT VISION Unveil All-in-One Vision Processor for Industrial Automation

Datasensing & PEKAT VISION are proud to announce the release of its innovative Vision Processor, a powerful industrial PC designed specifically to elevate quality control across manufacturing and logistics.
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Ensuring Stress-Free Furniture Assembly: The Role of AI-based Packaging Inspection

Have you ever experienced the frustration of assembling furniture, only to discover crucial pieces are missing from the box? The result can be a time-consuming and annoying setback, requiring you to disassemble and head back to the store. Watch a brief demonstration of how our software aids in preventing these assembly hiccups.
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Fuse box inspection by PEKAT VISION

Enhancing Quality Control: How Deep-learning and 3D Imaging Technology Ensure Precision in Fuse Box Assembly

Learn how the latest advancements in Photoneo 3D scanning technology and PEKAT VISION deep-learning software has transformed the landscape of quality control in the automotive sector. A single overlooked detail, like an incorrect, or incorrectly seated fuse in a fuse box, can have far-reaching consequences. In our latest blog post we look at how these two companies tackle this challenge head-on.
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PEKAT VISION 3.14 Release

Introducing PEKAT VISION Version 3.14

We are thrilled to present PEKAT VISION 3.14, the latest version of our cutting-edge visual inspection software, setting a new standard for precision, speed, and accuracy, empowering operators of all technical background to effortlessly train and manage the visual inspection parameters.
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Vial Quality Inspection with PEKAT VISION

Enhancing Vial Quality Control with PEKAT VISION

The advancements in deep learning and computer vision have paved the way for automated inspection in pharmaceutical manufacturing. Inspecting the liquid level of vials is one example of its use. This brief article explores the potential of PEKAT VISION in enhancing vial quality control and highlights the benefits it brings to the pharmaceutical manufacturing process.
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Vial Quality Inspection using AI

Product Sorting, Defect Detection and Completeness Verification

Object Detector and Classifier are two more modules that we would like to briefly describe and provide an example of their use in our blog series. To simulate a real-life scenario, we used different products, a small conveyor belt, and a PLC connected to a signaling beacon. The items, while moving on the conveyor belt, were sorted into the correct product class and inspected for any defect or missing parts. We’re inviting you to look behind the scene at how everything was done.
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A Brief Look at Autumn Trade Fairs. Part II: OCR Module

In our next installment of blog series, we will take a look at PEKAT VISION's OCR module used with PhoXi 3D scanner from Photoneo. Using the scanner, we read the embossed characters, including the manufacturer's identification number and DOT number, on the sidewall of a scooter tire.
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A Brief Look at Autumn Trade Fairs. Part I: Surface Detection Module

We are introducing a new series of blog posts covering the main modules of PEKAT VISION as they were presented during the autumn trade fairs. In the first part of the series, we will look at the Surface Detection module, used for detecting scratches, cracks, tears in packaging material or shrink wraps, missing parts, burrs on oil seals, or just any kind of surface defect or contamination.
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PEKAT VISION is now part of Datalogic Group