Uncover the Latest in AI and IoT

Highlight cutting-edge IoT technologies, AI advancements, and practical applications. Include open-source libraries and development tools to provide value to tech-savvy readers.

ZedIoT Blogs

ESP32 Chip Series: Best Use Cases and Model Comparison 2026

Struggling with ESP32 chip series comparison? This clear 2026 guide maps versions to real IoT and edge AI use—save power, avoid feature bloat.

RK3566 Can Run YOLOv8 INT8 — But Only Within These Limits

Real-time YOLOv8 INT8 on RK3566 is possible—if you manage execution paths, quantization effects, and model limits.

RKNN ONNX Opset Compatibility Guide: Constraints, Failures, and Baselines for Edge NPU Deployment

RKNN ONNX opset compatibility guide: static shape, post-process outside model, fix opset for YOLOv8 NPU stability and operator mapping.

AI Inventory Management and Auditing: Smarter Retail Starts with Automation and Real-Time Visibility

AI inventory management for retail. Boost demand forecasting, shelf tracking, and real-time visibility with automation.

Zigbee 4.0 and Suzi Sub-GHz Zigbee overview for industrial mesh IoT networks

Zigbee 4.0: Architecture, Suzi Sub-GHz, and Industrial Mesh Networks

Zigbee 4.0 introduces Suzi Zigbee, Sub-GHz Zigbee, and a more reliable Zigbee mesh network for industrial Zigbee network deployments.

Tuya Cloud API Guide: How It Works and How to Integrate It

Learn how the Tuya Cloud API works, how to get your Access ID, Access Secret, and endpoint URL, request tokens, control devices, and integrate Tuya into real IoT systems. A practical guide for developers and product teams.

Migrating MediaPipe Gesture Recognition to RKNN: From .task to RK3566 Deployment

A step-by-step guide to convert MediaPipe Gesture Recognition models to RKNN and running real-time inference on RK3566 NPU, with code and troubleshooting tips.

Illustration showing AI employee tracking in retail stores, with behavior recognition, edge AI processing, and real-time service quality insights.

Employee Behavior Monitoring: How Smart Retail Improves Service and Operations

Learn how AI employee tracking actually works in retail and see practical methods to improve service quality, staff safety, and store compliance with examples.

Illustration of an industrial data pipeline using Node-RED to host a Modbus Server, parse device registers, and forward telemetry to an MQTT broker.

Building a Protocol Gateway with Node-RED and Modbus Server: A Complete Pipeline from Industrial Devices to MQTT

Build a Node-RED Modbus Server and learn how a node red modbus server processes Modbus TCP data, parses registers, and sends industrial telemetry to MQTT.

Tuya AI Integration: Practical Ways to Build Intelligent IoT Workflows

Learn how Tuya AI integration works using Cloud API, App SDK, and event-driven automation. A practical guide for building reliable AI-driven workflows.

n8n Tuya Integration Guide: How to Connect Tuya Smart Devices with n8n for Home Automation

Learn n8n Tuya integration using Tuya Cloud API. Step-by-step guide to automate your smart home devices with n8n workflows and AI automation.

Integrate AI foot traffic analytics into your retail SaaS platform to boost ROI and efficiency.

AI Foot Traffic Analysis: Smart Retail Layout Optimization and Marketing Insights

Learn how AI foot traffic analysis works in retail—from detection and dwell time to dashboards and decision-making. A practical, AI-driven workflow overview.

Tuya Smart Mini-App ecosystem diagram illustrating how Panel Mini-Apps, Smart Mini-Apps, Tuya SDK, and OEM App connect through Tuya Cloud for IoT development

Understanding Tuya Smart Mini-Apps: The Next Evolution of IoT Application Development

Discover how Tuya Smart Mini-Apps bridge Panel, OEM, and SDK apps. Build cross-device IoT dashboards using Tuya Cloud and Smart Life.

RTSP vs WebRTC: Choosing the Best Protocol for AI Video Recognition in IoT Systems

RTSP vs WebRTC for AI video recognition in IoT systems. Learn their key differences, latency, and best use cases in edge AI and real-time visualization.

Illustration representing the integration of ESP32-S3 microcontroller and TensorFlow Lite Micro, highlighting edge AI capabilities such as wake word detection, sound classification, and embedded intelligence for IoT devices.

From Wake Word Detection to Edge Intelligence: The Technical Potential of ESP32-S3 TensorFlow Lite Micro

Learn how ESP32-S3 TensorFlow Lite Micro enables edge AI and wake word detection with on-device inference for embedded and IoT devices.

Object Recognition Camera for AI Inventory Management: How ZedWMS’s AI Warehouse Management System Automates Operations

AI warehouse management system with object recognition camera. Automate inventory tracking, achieve 99% accuracy, reduce labor 40%. Real case studies inside.

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