Read Zed IoT Blogs
ZedIoT brings you the latest IoT industry insights, including cutting-edge IoT technologies, open-source libraries, development tools, and real-world applications across various industries. We also focus on analyzing the value of IoT data, providing you with broader perspectives and directions for learning and growth.
ZedIoT Diaries
Exploring how to leverage AI to optimize IoT device management and maintenance through automated configuration, predictive maintenance, and edge AI technology to improve efficiency and reliability.
Comprehensive analysis of how to efficiently manage the entire lifecycle of IoT devices, from deployment and operation to retirement, discussing key aspects such as device registration, OTA upgrades, monitoring, maintenance, and secure data cleanup.
Explore how to achieve high-performance management in IoT systems with millions of devices through edge computing, distributed architecture, and load balancing while ensuring low latency and high reliability.
Explore how to achieve interconnection between IoT devices of different brands and protocols through standardized protocols, edge computing, and data models to improve system efficiency and compatibility.
Learn how Bio-IoT is revolutionizing healthcare with smart health monitoring, personalized medicine, and advanced medical technologies. Discover its applications and the key technologies driving it.
Choosing between MCU, SoC, or MPU is crucial in IoT device development. This guide covers processor features, typical use cases, mainstream models, and performance comparisons to help developers make informed decisions.
2025 IoT Trends: evolves with enhanced communication protocols, SoC adoption, and AI-embedded chips, driving industry-wide transformation through AI large models. This article explores IoT trends in protocols, platforms, hardware, and AI-driven applications
Explore how next-generation conversational AI hardware leverages cloud-based model training and edge-side inference. Gain insights into large model optimization, hybrid inference strategies, privacy protection, and how this new paradigm drives smarter, more responsive voice-enabled devices.
How FRP (Fast Reverse Proxy) enables secure, stable, and efficient NAT traversal for IoT deployments. Learn how to integrate FRP into your IoT edge architecture, improve remote device monitoring, and achieve robust data exchange.
Tauri 2.0 Releases, it redefines cross-platform development with lightweight design, enhanced security, and unified support for desktop and mobile platforms. Discover its advantages over Electron, WPF, and QT, and explore its potential for modern applications.
Explore the pros and cons of QT, PyQT, C# WinForms, WPF, and Electron.js for host machine development. Learn about performance, cross-platform capabilities, and application scenarios to make the best technology choice.
Introduce the development of an AI-powered multifunctional milk tea machine, covering hardware design, embedded AI control systems, cloud platform architecture using EMQX, Kafka, Spark, and InfluxDB, and user interface optimization. Explore how AI hardware and IoT technologies enhance precision, efficiency, and intelligent management in modern beverage systems.
Explore building AI knowledge graphs using Dify, Coze, and RagFlow platforms. This guide covers platform selection, data input methods, and custom application development to help businesses manage knowledge effectively. 1. Key AI Platforms for Knowledge Graphs Choosing the right platform is the first step to success. Here’s an overview of popular options: Dify Coze RagFlow Graph Databases […]
Discover how businesses can deploy private AI models like LLaMA 3.2, Qwen, Falcon, and MosaicML MPT to build knowledge graphs. This guide covers model selection, deployment strategies, and computing needs, helping organizations optimize their knowledge management systems. 1. Choosing the Right AI Model Private AI models balance performance, scalability, and cost. Recommended models include: 2. […]
Explore the latest in intelligent IoT self-service machines, including core modules, cloud + edge AI architecture, advanced sensor networks, and innovative applications in smart retail, healthcare, and governance.
This guide demonstrates how a healthcare company developed an internal AI-powered knowledge hub using the Dify platform. It covers the end-to-end process of data management, knowledge graph creation, AI model fine-tuning, and practical application. This solution supports smart business transformation by addressing inefficiencies in knowledge sharing and data silos. Why Build an AI Knowledge Base? […]
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