AI and IoT Insights
Practical articles on IoT platforms, edge gateways, embedded software, AI workflows, industrial protocols, smart hardware, and connected-product decisions.
Blog articles · Page 6
Tuya Local Control vs Cloud API vs App SDK: What Should You Choose?
Tuya projects usually fail not because one path is missing, but because local control, Cloud API, and App SDK are used in the wrong place. This article gives a product...
ESP32 Firmware Development Guide for IoT Devices
Real ESP32 firmware development is not just about connecting a device to Wi-Fi. It is about structuring BSP, drivers, protocols, config, OTA, logs, and maintenance int...
How to Model Device Online State Correctly
Device online state is not a single field. It is a derived judgment built from connectivity, heartbeat, last-seen activity, and abnormal disconnect signals such as MQT...
SGP.32 + LwM2M: A Practical Stack for Global IoT Deployment in 2026
The hard part of global IoT is rarely first connectivity alone. It is linking eSIM remote provisioning, device registration, policy delivery, acknowledgements, and dia...
The Core Architecture of an IoT Device Management Platform
Many IoT teams build device management as device registration plus online status plus a detail page. That works for demos, but it breaks under fleet operations, comman...
How to Design a Local-First Smart Home with Home Assistant
A local-first Home Assistant architecture is not the same as trying to remove every cloud service. The stronger pattern is to keep device control, critical automations...
The Hard Part of Multimodal Edge Systems Is Latency, Sync, and Operations
In multimodal edge systems, the hardest part is rarely whether a model can run. It is whether voice, video, and event streams stay aligned, low-latency, diagnosable, a...
Why Edge AI Fails More Often on Observability Than on Model Accuracy
Edge AI deployments rarely fail first on model accuracy. They fail when teams cannot see input health, inference health, version context, or diagnostic evidence. This ...
Brownfield to Cloud: A Practical Path for Legacy Industrial Equipment
Legacy industrial equipment projects usually fail when teams push PLCs, meters, and serial devices straight into the cloud without a stable edge boundary. This article...
How to Separate Model, Firmware, and Config Versioning in Edge AI
Edge AI fleets become hard to operate when firmware, model, and config are hidden behind one bundle version. This article explains how to separate those version planes...
The Hard Part of Global IoT Is Not Connectivity, but Lifecycle Control
Global IoT deployments rarely fail because devices cannot connect. They fail because eSIM provisioning, device identity, regional policy, config versions, and operatio...
Layering A2A, MCP, OPC UA, and Modbus for Agentic IoT
Agentic IoT becomes fragile when A2A, MCP, OPC UA, and Modbus are treated as interchangeable layers. A more stable architecture uses A2A for agent coordination, MCP fo...
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