PRODUCT KNOWLEDGE

  • EDGE LEARNING TECHNOLOGY – A NEW APPROACH IN THE FIELD OF ARTIFICIAL INTELLIGENCE
    In the modern world of technology, Deep Learning has become a familiar term. Known for its ability to process and analyze complex data, it opens up new possibilities in the field of artificial intelligence. However, a new concept is gradually capturing the attention of the tech industry – Edge Learning, a novel and promising approach from Cognex. Edge Learning is part of the AI ecosystem, where data processing occurs at

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  • Cognex launches DataMan 80 barcode reader
    Cognex is pleased to announce the global release of the fixed-mount DataMan 80 reader.
  • Basler Launches 128MP Area Scan Camera Product: A Breakthrough in Imaging Technology
    Basler AG, one of the world’s leading manufacturers of digital imaging solutions, has just announced a camera area product with a resolution up to 128MP. This is an important step forward in the field of image technology, offering extensive and promising applications across many industries. Advanced Technology Behind 128MP Resolution The new line of Basler cameras offers ultra-high resolution at 128 megapixels, allowing for capturing incredibly detailed and sharp images.

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  • Cognex In-Sight SnAPP 2800
    Are you curious about the feeling of achieving accuracy while maintaining simplicity? Welcome to the new star on the automation production stage – Cognex In-Sight SnAPP 2800! In-Sight SnAPP 2800 is designed for simplicity. It allows anyone to easily automate quality control tasks. Using pre-trained artificial intelligence, applications can be built quickly and easily without any experience. Demo video: https://www.linkedin.com/posts/beevision_cognex-in-sight-snapp-2800-english-below-activity-7185869551845158914-eSIX?utm_source=share&utm_medium=member_desktop Add In-Sight SnAPP 2800 to your toolkit and witness the amazing

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  • Deep Learning Vision – AI Trend Update
    Artificial intelligence (AI) technology is changing the way businesses operate and optimize production processes, quality inspection, and data analysis. Within the scope of strategic cooperation activities, BeeVision and Cognex engineering teams directly demonstrated the solution “Vision Deep Learning” at the client’s company – a significant step in the digital transformation journey, sharing knowledge, updating with new technologies, and exploring the potential in the field of image processing and machine vision.

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  • Fixed barcode scanner and Handheld barcode scanner – Applications in industrial environments
    In modern production environments, the rapid and accurate collection and processing of data are key factors to ensure efficiency and quality. Barcode scanners – particularly fixed and handheld models – are becoming indispensable tools in machine vision systems, automation, and supply chain management. So which type of scanner should you choose for your industrial environment? This article will help you understand the differences between fixed and handheld scanners while analyzing

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  • DEEP LEARNING & MACHINE VISION: UPGRADES QUALITY INSPECTION IN MANUFACTURING
    In modern production, quality control is no longer just a requirement; it is a core part of the competitive strategy. A defective product not only loses customers but also causes losses in the supply chain, wastes resources, and damages brand reputation. Leading businesses are seeking to turn quality inspection into a technological advantage—where machine vision combined with AI plays a crucial role. ⚙️ Limits of Traditional Machine Vision – and

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  • MACHINE VISION AND IoT IN MANUFACTURING
    In the Industry 4.0 revolution, advanced technologies such as Machine Vision (machine vision) and Internet of Things (IoT) are playing a crucial role in transforming traditional manufacturing industries into Smart Manufacturing. By combining these two technologies, businesses can enhance productivity, minimize errors, and optimize production processes effectively. 1. What is machine vision? Machine Vision is a technology that enables machines to “see” and analyze images similar to humans. However, the

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