PEKAT VISION Media

Media

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    The illustration of our new OCR module
    July 24th 2021We are about to release our new OCR module, which also includes AI training! Our new OCR module is able to perfectly read printed characters done by welding, dotted characters printed on metallic parts and other surfaces, tyre marks description, special characters and much more.
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    ‘We see customers as our partners’, says Sergio Palazzi, our number one distributor in Italy
    June 16th 2021In this interview, we would like to introduce Sergio Palazzi, the owner and executive director of Machine Vision Consulting Srl. Machine Vision Consulting is our partner, integrator and product distributor in Italy. We spoke about their work, progress in the field of automation and AI and also about future plans.
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    Automation in Automotive Industry
    May 20th 2021Even though the automotive industry already has several automated manufacturing processes, it still relies heavily on human visual inspection. Among others, the automotive industry is able to implement automated inspection solutions using machine vision technology. Let’s have a look at our newest use case.
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    Defects on transparent materials
    May 19th 2021Nowadays, the visual inspection of transparent materials is still a challenge in machine vision projects. Our latest case study is focusing on this specific issue. We have performed a feasibility study for glass inspection and we are glad to share these results with you.
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    Braided Cable Inspection
    April 15th 2021The manufacturers of braided cables need their products to be very flexible and remain in perfect condition for a long period of time. To achieve that, the customer needs to achieve 100% flawless product. PEKAT VISION software is an effective, fast and easy way to achieve that as you can see in our new case study.
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    Case Study: Salmon Meat
    March 31st 2021Food and beverages always need to be in a perfect condition when customers buy them. That is why the food and beverage industry is very strict about the quality of their products. Concerning these industries, we had the opportunity to use our software for the recognition of defects on salmon.
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    High accuracy image processing solutions based on artificial intelligence using LabVIEW and PEKAT VISION deep learning
    March 17th 2021Connecting your software with LabVIEW and integrating with PEKAT VISION has never been easier! We have prepared a demo, including a VI file, which you can also use in your application, saving you from wasting hours in programming communication in LabVIEW!
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    Machine Vision Inspection for paving blocks production
    February 15th 2021PEKAT VISION has recently performed a feasibility study regarding inspection of defects in the production of paving blocks.
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    Case study: biscuits and puffed rice bread
    December 16th 2020We perform feasibility studies for our customers on daily basis. We use them to demonstrate the capabilities of the PEKAT VISION software. On two examples of such studies we want to show you where and how exactly can PEKAT VISION's focused learning algorithm be applied.
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    TIETECH - new distributor in Japan
    June 22nd 2020Interview with Mr. Hirokazu TERADAIRA
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    PEKAT VISION Brake Discs Inspection at Accenture with Deep Learning
    May 5th 2020PEKAT VISION automated inspection process of brake discs production in Accenture Garching IIoT Innovation Center. Using high-end anomaly detection module we were able to automate the process of brake discs inspection.
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    Fighting crisis with machine vision
    April 20th 2020Detecting hair in jelly using Pekat Vision's Detector module trained with annotated images Czech firm Pekat Vision writes about quality control projects it has solved in pharmaceutical and food inspection, both key markets that need to be kept running during the Covid-19 pandemic
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    Interview
    January 8th 2020PEKAT VISION and OEM Automatic AB established a partnership in 2019. We set down to talk with Sales Manager of OEM Johan Kastensson to understand what drove this decision and how it’s going to impact the machine vision market.