AI edge computing

The Collision of MCU and LLM: Exploring the Possibilities of AIoT

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The Collision of MCU and LLM: Exploring the Possibilities of AIoT

Click below👇“AI Knowledge Exchange”Follow our official account “The table lamp at home suddenly understands human speech, factory machines proactively report faults, and children’s toys can assist with homework… These scenarios are no longer science fiction! Recently, a technological trend has been quietly brewing—connecting the traditionally ‘silent’ Microcontroller Units (MCUs) with large AI models. What possibilities … Read more

A Step-by-Step Guide to Using OpenCV on Raspberry Pi

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A Step-by-Step Guide to Using OpenCV on Raspberry Pi

Click the card below to follow “Computer Vision Home” for the latest insights on visual/image processing! Get the latest updates on visual/image processing delivered to you! Creating products involves not only software but also hardware, which plays a crucial role. Specifically, in computer vision, we need compact edge hardware to deploy our object detection models … Read more

Ukrainian Drones Utilize Raspberry Pi

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Ukrainian Drones Utilize Raspberry Pi

Recently, the Russian military discovered Raspberry Pi microcomputers (also known as credit card-sized computers) from the wreckage of Ukrainian drones.The Raspberry Pi was developed under the leadership of Eben Upton from the University of Cambridge in the UK, and is produced by the registered “Raspberry Pi Foundation” in the UK. The Raspberry Pi credit card … Read more

Intelligent Algorithms for PLC: Integrating Machine Learning to Improve Anomaly Detection Accuracy by 50%!

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Intelligent Algorithms for PLC: Integrating Machine Learning to Improve Anomaly Detection Accuracy by 50%!

Introduction Hello everyone! Today, I want to share a technological breakthrough that is exciting the field of industrial automation — the perfect combination of PLC and machine learning! Don’t be intimidated by the term “machine learning”; I will explain it in the most relatable way.Trust me, this intelligent algorithm can directly improve the anomaly detection … Read more

Innovations in PLC Intelligent Control Technology: Leading Industry Development!

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Innovations in PLC Intelligent Control Technology: Leading Industry Development!

“PLC Intelligent Control Technology: Breaking Through Equipment Failures, Reducing Factory Downtime by 70%!” First Layer: Hardware Protection Anti-Interference Design: The self-developed high-speed dual-mode chip from Lihe Micro reduces signal interference by 99%, like putting a protective suit on the PLC. Redundant Backup: Dual CPU architecture, with a backup chip taking over in 0.1 seconds in … Read more

Optimizing PLC Intelligent Alarms: Reducing False Alarms and Missed Alarms!

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Optimizing PLC Intelligent Alarms: Reducing False Alarms and Missed Alarms!

“PLC Alarm False Alarm Rate Drops by 80%! Intelligent Optimization Saves Factories Millions” Hello everyone! Today I must share some insights with all industrial control professionals — do you think that more frequent PLC alarms mean greater safety? You are gravely mistaken! I have personally witnessed a food factory that reported 27 false alarms in … Read more

Remote Monitoring of PLC Devices: Understand Equipment Status Anytime, Anywhere!

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Remote Monitoring of PLC Devices: Understand Equipment Status Anytime, Anywhere!

“Remote Monitoring of PLC: 80% Improvement in Fault Response Speed! Essential Remote Maintenance Secrets for Engineers” Last year, a certain automotive parts factory suffered a direct loss of 2 million due to incorrect parameter settings on the PLC timer, which caused the robotic arm to start prematurely and damage the fixture. Even worse, a chemical … Read more

Discussing TinyML and Its Main Frameworks and MCUs

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Discussing TinyML and Its Main Frameworks and MCUs

1. Definition and Core Advantages of TinyML TinyML (Tiny Machine Learning) is a technology specifically designed for deploying lightweight machine learning models on embedded devices with extremely limited resources, such as microcontrollers and sensors. Its core goal is to achieve real-time intelligent inference under conditions of milliwatt-level power consumption, kilobyte-level memory, and very low cost … Read more

What are the Secrets of High Performance and Miniaturization in the Next Generation of Robot Controllers as Seen Through the KR C5 micro-2?

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What are the Secrets of High Performance and Miniaturization in the Next Generation of Robot Controllers as Seen Through the KR C5 micro-2?

The report from Electronic Enthusiasts Network (by Wu Zipeng) states that robot controllers are the core components of robotic systems, responsible for coordinating sensor perception, decision-making, and actuator control, enabling motion control, task execution, and environmental interaction. When designing and selecting controllers, it is essential to balance performance, cost, and application requirements. With the development … Read more

In-Depth Analysis of NPU Industry More Suitable for AI: From Technological Breakthroughs to Ecological Reconstruction

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In-Depth Analysis of NPU Industry More Suitable for AI: From Technological Breakthroughs to Ecological Reconstruction

Introduction: In the era of edge-cloud collaboration, how does NPU rewrite the computing power landscape? The explosive growth of artificial intelligence is reshaping the semiconductor industry, with computing power demand rapidly penetrating from the cloud to the edge. According to IDC’s forecast, by 2028, global shipments of GenAI smartphones equipped with NPUs will reach 910 … Read more