加载中
正在获取最新内容，请稍候...
Tuya AI+IoT Device Framework - Accelerate Smart Device Development
An open-source development framework from Tuya, designed to simplify the creation of AI and IoT enabled devices on various microcontrollers including ESP32, BK7231N, LN882H, and Tuya's T-series chips (T2, T3, T5AI).
C
Added on 2025年5月27日660
Stars117
ForksC
LanguageProject Introduction
Summary
This project offers a comprehensive, unified framework for building intelligent IoT devices. It abstracts away complex hardware specifics and provides robust libraries for connectivity, AI inference, and device management across a range of popular embedded platforms.
Problem Solved
Developing AI and IoT features on resource-constrained embedded systems is challenging due to diverse hardware architectures, complex network stacks, and the difficulty of deploying AI models efficiently. This framework provides a standardized approach, reducing development time and effort.
Core Features
Cross-Platform Compatibility
Supports multiple MCU platforms (ESP32, BK7231N, T-series, etc.) with a consistent API.
Integrated AI Inference
Provides optimized libraries and tools for deploying and running small AI models directly on the device.
Unified Connectivity
Includes pre-built modules for Wi-Fi, Bluetooth, MQTT, and Tuya cloud connectivity.
Tech Stack
C/C++
RTOS (FreeRTOS/etc.)
Specific MCU SDKs
TensorFlow Lite Micro (example)
MQTT
TuyaOS (underlying)
CMake
使用场景
This framework is ideal for developers and companies building smart devices across various sectors, including:
Smart Home Devices
Details
Developing smart plugs, lighting, sensors, or appliances with local intelligence and cloud connectivity.
User Value
Rapid prototyping and deployment of connected home devices with advanced features.
Industrial IoT Sensors
Details
Creating industrial sensors that perform edge AI analysis (e.g., anomaly detection) before sending data.
User Value
Reduced bandwidth usage and faster response times through on-device processing.
Wearables and Health Tech
Details
Building low-power wearable devices with limited AI capabilities and smartphone/cloud synchronization.
User Value
Enables compact, power-efficient devices with integrated sensing and basic inference.
AI Camera Modules
Details
Developing camera products that perform local object detection or recognition on compatible hardware.
User Value
Allows for privacy-preserving local AI processing and reduced cloud dependency for basic tasks.
Recommended Projects
You might be interested in these projects
PromtEngineerlocalGPT
Chat with your documents locally using private GPT models. This project ensures your data remains on your device, offering 100% privacy for document analysis and interaction.
Python
206912290
libbpflibbpf
Provides an automated system to mirror the upstream libbpf repository and facilitate standalone builds, simplifying integration into various projects without requiring the full Linux kernel source tree.
C
2410451
eclipse-jdtlseclipse.jdt.ls
A high-performance language server for Java, providing features like code completion, diagnostics, and refactoring for editors and IDEs that support the Language Server Protocol.
Java
1965422