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  1. Home
  2. Electronic Components and Semiconductors
  3. Euresys Japan ユレシス ジャパン
  4. Image Sensing Exhibition 2025 Imaging Seminar Held
SEMINAR_EVENT
  • Jun 07, 2025
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Jun 07, 2025

Image Sensing Exhibition 2025 Imaging Seminar Held

Euresys Japan Euresys Japan ユレシス ジャパン
We will be exhibiting at the International Image Sensing Exhibition (ISS) held from June 11 (Wednesday) to June 13 (Friday). On the first day of the event, June 11 (Wednesday), we will be giving a presentation at the imaging seminar. We kindly ask you to register in advance and participate. ■ Seminar Overview - Presentation Title: Practical Examples of Utilizing Deep Learning - Date and Time: June 11, 2025 (Wednesday) 11:10 AM – 12:00 PM - Venue: Pacifico Yokohama, Special Seminar Room * Please register in advance through our website. <Recommended for> - Those who want to introduce automated inspection to reduce costs and prevent defective products from leaking. - Those who have no knowledge of image analysis but want to achieve high-quality management in a short period. 【Guest Lecture】 There will be a guest lecture by Asahara Giken Co., Ltd. in part of the session. You will have the opportunity to hear firsthand accounts from engineers tackling various challenges faced by manufacturing companies, utilizing Euresys software and frame grabbers. We encourage you to register in advance and participate.
Date and time Wednesday, Jun 11, 2025
11:10 AM ~ 12:00 PM
Capital Pacifico Yokohama Image Sensing Exhibition Special Seminar Room 1-1-1 Minatomirai, Nishi Ward, Yokohama City, Kanagawa Prefecture
Entry fee Free You need to register as a visitor for the Image Sensing Exhibition in advance, and a registration number will be required.
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2021-11-02_17h41_40.png

Inspection library "Deep Learning Bundle"

Compatible with CPU and GPU processing! Based on convolutional neural networks.

The "Deep Learning Bundle" is a deep learning inspection library optimized for machine vision applications. It performs image classification, supervised or unsupervised segmentation, and object localization. This product includes EasyClassify, EasySegment, and EasyLocate. 【Features】 ■ Optimized for machine vision applications ■ Sample API ■ Supports data augmentation and masking ■ Compatible with CPU and GPU processing ■ Includes EasyClassify, EasySegment, and EasyLocate *For more details, please refer to the PDF document or feel free to contact us.

  • Image analysis software

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Open eVision_ID Bundle

Euresys image processing library "Open eVision" various character and code reading libraries.

The ID Bundle is a cost-effective Open eVision ID library package that provides a comprehensive set of tools for various identification tasks. This bundle includes EasyImage, EasyOCR, EasyOCR2, EasyBarCode, EasyMatrixCode, and EasyQRCode. The ID Bundle is the ideal solution for industries seeking efficient and reliable tools for accurate and fast identification and data extraction.

  • Image Processing Software

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Image analysis tool 'Open eVision' *Free trial currently available

Using the normalized correlation method, it is possible to measure the deviation between the pattern and the target image and perform measurements and corrections at the sub-pixel level!

"Open eVision" is a powerful and highly flexible software tool for image processing and image analysis. The general-purpose library supports applications such as image filtering, image enhancement, blob analysis, pattern matching, arrays, and dimensional measurement. The mark inspection library includes features for optical character recognition, optical character verification, barcode reading, and data matrix code reading. 【Features】 ■ Library independent of hardware ■ Compatible with any image source, including frame grabbers, GigE Vision, and USB3 Vision cameras ■ 64-bit libraries for C++ and .NET, and 32-bit libraries for C++, .NET, and ActiveX development ■ Easy to learn and use ■ Robust, adaptable, and powerful *For more details, please refer to the PDF materials or feel free to contact us. If you wish to have a free trial, please check the catalog.

  • Image Processing Software

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Related catalog(2)

Inspection library "Deep Learning Bundle"

Inspection library "Deep Learning Bundle"

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Text and Code Reading Library "ID Bundle"

Text and Code Reading Library "ID Bundle"

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Euresys Japan
Electronic Components and Semiconductors
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We will be exhibiting at the Agriculture WEEK/Plant Factory EXPO from October 1st to 3rd.

  • NEW
  • SEMINAR_EVENT

We will be exhibiting from Wednesday, October 1 to Friday, October 3, 2025. Makuhari Messe https://www.jagri-global.jp/hub/ja-jp/visit/feature-t/plant.html Please stop by!

Jul 01, 2026

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How Will Drawings, Sites, and Documents Change? The Reality of AI Implementation That Construction and Civil Engineering Companies Need to Know Right Now in 45 Minutes

  • NEW
  • SEMINAR_EVENT

To construction and civil engineering companies looking for the "next" step in digitalization. This seminar will explain the currently trending topic of "AI utilization" in 45 minutes. We will clearly introduce the latest trends, specific case studies, and steps for implementation to address questions such as "What can AI do?" and "How can it be applied to our business?" Whether your company is already advancing in DX or is just starting to consider AI, you will find hints for improving operational efficiency. 【Schedule】 1: Company introduction and instructor introduction 2: Case studies of AI utilization in the construction and civil engineering industry 3: Convincing examples! Patterns of AI utilization in construction operations 4: Three steps to avoid failure in AI implementation 5: Q&A and closing remarks

Jul 01, 2026

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Digitalizing the veteran's expertise! Techniques for sharing know-how to enable young professionals to operate independently.

  • NEW
  • SEMINAR_EVENT

We will address the issue of young employees who, despite joining the company, leave due to reasons such as "there's no time to be taught," "I don't understand when I'm told to learn by watching," and "what is written and said varies depending on the project or person in charge." We propose a system that accumulates the know-how of veterans in AI and systems, allowing young employees to search for and solve problems on their own. 【Schedule】 1: Company introduction and instructor introduction 2: Reasons why technical inheritance is not progressing (lack of time, difficulty in verbalizing) 3: "Next-generation manual and know-how sharing methods" utilizing video and AI search 4: Examples of system construction to institutionalize technical inheritance 5: Q&A and closing remarks

Jul 01, 2026

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[Webinar] "Utilization of Equipment Inspection/Cleaning/Security/Reading/Entry and Exit" | Recorded Distribution (July Only)

  • NEW
  • SEMINAR_EVENT

G-Smart Co., Ltd. will hold a recorded webinar featuring footage from the previously live-streamed "Building Management DX Business-Specific Demo WEEK," available for two weeks in July. Smart Attack V3 is a no-code field reporting app that allows users to complete reporting tasks on their smartphones and share and manage the report content in real-time. In this webinar, we will introduce how to create and manage reports using Smart Attack V3, focusing on reporting tasks related to building management, with a different theme each day over the two-week period, accompanied by easy-to-understand demonstrations. We encourage you to take this opportunity to register. ★★★ Recommended for: ★★★ - Those managing reports for cleaning, move-in/move-out, equipment inspections, etc., using paper or Excel. - Those who feel challenges in standardizing or digitizing reports that differ by task. - Those considering no-code reporting tools tailored to their company's operations. ★★★ Event Schedule ★★★ Period: July 6 (Monday) to July 17 (Friday) from 15:00 to 15:30 * Each theme will be held on specific days of the week. Monday: Equipment Inspections, Tuesday: Cleaning, Wednesday: Security, Thursday: Meter Readings, Friday: Move-in/Move-out Checks.

Jun 30, 2026

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Introduction to the Implementation and Utilization of Metal 3D Printers/AM: Key Points [Introductory Course] <Zoom Online Seminar> - Explanation of the correct selection of desired models, key points and considerations for implementation and utilization, various molding methods and technologies, examples of short time, low cost, and high-quality manufacturing, advantages of AM, factors for failure, and secrets to success.

  • NEW
  • SEMINAR_EVENT

Metal 3D printers are becoming increasingly diverse, and recently, relatively affordable low-cost machines costing several million yen, binder jetting methods that enable mass production of parts, and high-speed, large machines for creating large components and products have been continuously introduced to the market. Furthermore, the prototyping of magnesium parts and the manufacturing of copper parts, which were difficult to create with existing machines, have begun. Metal 3D printers eliminate the need for molds by directly producing products from 3D data, and they can create complex shapes that were impossible with traditional processing methods, as well as lattice and porous structures, hollow structures, and hybrid structures. This enables the innovative creation of metal parts and molds that are not available from conventional or other companies, significantly reduces prototyping and manufacturing time, drastically decreases the number of parts, allows for lightweight and compact designs, and reduces manufacturing processes and workforce requirements. Using metal 3D printers, we provide easy-to-understand explanations for those considering the development of attractive new products, the creation of new businesses, differentiation from existing products, significant reductions in prototyping and manufacturing time, dramatic decreases in the number of parts, and cost-effective lightweight complex-shaped components, as well as for beginners who are interested in these topics. The world is energetically investing in metal parts and mold manufacturing as the leading candidate for the next generation, and mass production of parts has also begun in earnest. Manufacturing parts with metal 3D printers will become commonplace in a few years.

Jun 30, 2026

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