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  6. Aurora Imaging Library Compatible PC

Aurora Imaging Library Compatible PC

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last updated:Nov 09, 2025

アプライド
アプライド
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Industrial image processing application "Aurora Imaging Library" compatible PC

The Aurora Imaging Library is an "industrial image processing library with excellent embedded capabilities and stability," characterized by its suitability for system development focused on device integration and control. - Developer: Matrox Imaging, Canada - Overview: A comprehensive software library developed for industrial image processing and machine vision - Availability: Usable through APIs such as C/C++, C#, .NET. GUI-based development is also possible in conjunction with Aurora Design Assistant - Main Features: - Image acquisition and preprocessing (filtering, geometric transformations, etc.) - Pattern matching, dimension measurement, character recognition (OCR) - Color-based inspection, appearance inspection - 3D image processing (stereo, laser, point cloud analysis) - Classification and detection using deep learning (supports NVIDIA GPU) - Characteristics: - Modular, allowing only the necessary functions to be integrated - In SDK format, enabling flexible integration into embedded devices and dedicated equipment - Widely used by inspection equipment manufacturers and for research purposes, with strengths in real-time performance and stability.

    Image Processing SoftwareIndustrial PCs
Aurora

Aurora Imaging Library Compatible PC

Aurora Imaging Library.png
Aurora Imaging Library.png Aurora Imaging Library 1.png
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- Be-Clia CAD Type-ZU2V2-7-5070: A workstation combining the RTX 5070 with the affordable Core Ultra 7. This configuration is a high-performance workstation designed for utilizing the Aurora Imaging Library. It achieves fast and stable image processing with the latest CPU and large-capacity memory, and supports deep learning and 3D vision inspection with the RTX 5070. It can be widely used from visual inspection to research and development. - Be-Clia CAD Type-ZU2V2-9-5080: A workstation combining the RTX 5080 with the affordable Core Ultra 9. This configuration is a high-end workstation ideal for advanced image processing utilizing the Aurora Imaging Library. With the latest Core Ultra 9 and 128GB of memory, it processes high-resolution images and large-scale data quickly, and strongly supports deep learning and 3D vision inspection with the RTX 5080.

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The Aurora Imaging Library is a comprehensive library for industrial image processing, utilized by manufacturing industries and research institutions around the world. Its applications are diverse, strongly supporting quality control on production lines through tasks such as appearance inspection of electronic components and semiconductors, OCR and barcode reading for packages and labels, and dimensional measurement and defect detection of automotive parts. Additionally, in the food and pharmaceutical sectors, it is applied for foreign matter inspection and print verification, while in logistics, it is used for code recognition and sorting. Furthermore, with its 3D vision and deep learning capabilities, it enables advanced applications such as robot picking and complex appearance inspections. The Aurora Imaging Library is also adopted as an SDK with excellent flexibility and stability for embedded development, boasting a wealth of experience in industrial inspection devices that require long-term operation. - Examples of applications: - Appearance inspection of electronic components - Dimensional measurement and defect detection of automotive parts - Package print inspection (OCR/barcode) - Robot vision (positioning and picking)

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Applied Aurora Imaging Library Compatible Workstation Product Catalog

Applied Aurora Imaging Library Compatible Workstation Product Catalog

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Applied Corporation is a computer manufacturing company based in Hakata-ku, Fukuoka City, Fukuoka Prefecture, with 65 locations nationwide. We provide the latest business proposals, from cutting-edge computers to the implementation of DX and solutions, for corporate clients across the country.

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