It is especially suitable for automated intelligent devices or systems that require both millisecond-level deterministic control and local data processing, intelligent analysis, or lightweight AI inference.

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When a Transformer Is Under Attack, the Cloud May Be Too Late

2026-05-15

BLIIOT S275-based custom solution enables instant local response and reliable remote protection for transformer security.

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Revolutionizing Edge Computing: BLIIOT x ThingsBoard Joint Webinar Coming on May 14th

2026-05-08

Join us on May 14th for an exclusive deep-dive into the synergy between BLIIOT’s ARM hardware and ThingsBoard’s IoT platform. We will demonstrate real-time data acquisition and "Edge-to-Cloud" solutions for modern industrial automation.

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BLIIOT to Showcase Latest Industrial IoT Innovations at AT EXPO 2026 Vietnam

2026-05-08

Visit BLIIOT at AT EXPO 2026 in Hanoi, Vietnam (May 14-16) at Booth 70, Hall 2. Explore our latest EdgePLC, ARM Embedded Computers, and IIoT Gateways.

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Remote Maintenance in Industrial Automation: How Does It Really Work?

2026-04-30

In today’s industrial environment, devices are no longer isolated. Engineers don’t always need to be on-site to troubleshoot, update, or configure systems. Instead, they can access and manage equipment remotely. But how does remote maintenance actually work in industrial automation?

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Why RK3562J Is Replacing Intel N100 in Embedded Projects (2026 Trend)

2026-04-29

As industrial systems evolve toward edge intelligence, integration, and efficiency, ARM-based platforms are becoming the preferred choice.

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Debian vs. Ubuntu: Which foundation is right for your IIoT project?

2026-04-27

A quick guide to the Linux ecosystem behind BLIIOT solutions. See how we leverage Debian and Ubuntu to ensure seamless, secure OT-to-IT bridging.

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The Role of GPU in Industrial Image Processing

2026-04-23

Introduction With the rapid development of industrial automation and intelligent manufacturing, image processing has become a key technology in applications such as quality inspection, defect detection, and machine vision. Traditional CPU-based processing is often not sufficient for handling large volumes of image data in real time. This is where GPUs (Graphics Processing Units) play a critical role.

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