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
Explore how IoT is revolutionizing medical devices, from wearable health trackers to large-scale diagnostic machines. Learn about BLE 5.2, Matter, LoRa, and AI-powered diagnostics, driving smart connectivity and efficiency in healthcare.
Matter 1.4, exploring the latest technological advancements in smart homes and IoT. Covering multi-admin support, Thread and Wi-Fi integration, energy management optimization, and healthcare device integration, this article highlights how Matter enhances interoperability and energy efficiency while unveiling future smart home trends.
This guide provides an in-depth overview of IoT sensor types, communication methods, and selection strategies, helping users choose the right sensors and gateway configurations for optimal IoT system deployment based on application needs.
This blog explores the integration of Large Language Models (LLMs) with Internet of Things (IoT) systems, analyzing applications, technical implementations, and strategies to maximize value. Through technical terminology, data, and case studies, we discuss how LLMs bring new opportunities to IoT, driving future trends and advancements.
Large Language Models (LLMs) have made groundbreaking progress in the field of Natural Language Processing (NLP). Models like BERT and GPT-3 have achieved state-of-the-art performance across multiple NLP tasks. This guide provides a comprehensive workflow for LLM development, from data preprocessing to model optimization, targeting developers and researchers with a foundational understanding of deep learning and NLP.
Large Language Models (LLMs) are becoming a core driver of innovation in artificial intelligence, particularly in the field of Natural Language Processing (NLP). This article delves into the technical principles, latest development trends, challenges, and the value of LLMs across various industries.
This article aims to delve into the three primary BLE connection methods: Broadcast Mode, Transparent Transmission Mode, and MESH Networking. By thoroughly analyzing the principles, application scenarios, technical specifications of each method, and how they connect with gateways, smartphones, computers, and other devices, we hope to help readers better understand the potential of BLE and choose the most suitable connection method for their specific projects.
This article details how to combine advanced technologies like Dify, OCR, and LLM to build an intelligent warehouse receipt system. This system enhances warehouse management efficiency, reduces error rates, and assists enterprises in achieving digital transformation in logistics. By automating the processing of outbound orders, the system can extract key information, compare it with the product database, and quickly generate a receipt.
Discover Talos Linux, the highly secure, immutable, and API-driven operating system built specifically for Kubernetes. Learn how Talos Linux simplifies Kubernetes deployment, boosts security, and enhances performance in production, edge computing, and cloud-native environments.
This article explores the KubeEdge ecosystem in-depth, including community resources, project integrations, partners, and users. It analyzes the advantages and challenges of KubeEdge in edge computing and forecasts its future development directions, such as support for edge AI, community growth, and integration with 5G technology. Learn how KubeEdge is leading the future of edge computing and providing forward-looking guidance for developers and enterprises.
This article delves into the installation and deployment process of KubeEdge, providing detailed information from environment preparation and deployment of cloud and edge components to the validation of actual applications. Through practical cases in smart factories and intelligent transportation, it demonstrates the powerful capabilities and application effects of KubeEdge in the field of edge computing. It also offers solutions to common issues encountered during deployment, helping you successfully implement cloud-edge collaborative IoT projects.
This guide introduces how KubeEdge extends the powerful capabilities of Kubernetes to the field of edge computing. Through features such as cloud-edge collaboration, offline autonomy, and device management, KubeEdge provides a comprehensive solution to address the challenges of edge computing. Learn about KubeEdge’s architecture, core components, and key features to support your practice in IoT and edge computing.
This article comprehensively compares ten mainstream edge IoT platforms, including EdgeX Foundry, KubeEdge, Eclipse Kura, etc. By detailing their technical parameters, hardware requirements, features, and application areas, it helps you choose the most suitable edge computing platform for your IoT projects.
This blog provides an in-depth exploration of EdgeX Foundry’s architecture, key features, and real-world applications across various industries. Discover how this open-source edge computing platform enhances IoT system development, supports AI and machine learning at the edge, and addresses critical challenges in smart cities, healthcare, manufacturing, and energy management.
This blog explores the essential technologies in Kiosk Development, the application of kiosks across various industries, and the emerging role of AI in enhancing personalized user experiences, voice interaction, and predictive maintenance. Discover how advanced Kiosk Software Development and system integration are driving innovations in retail, healthcare, and public services.
This article explores the differences and connections between Kiosk Development and Host Computer Development, focusing on their purpose, functionality, technical requirements, development tools and frameworks, and interactivity. It helps businesses and developers choose the right technical solutions for specific application scenarios by understanding these key differences.
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