TuyaOpen on RDK-X5

Project Overview​

Run TuyaOpen's multi-modal agent on an RDK X5 SBC, with AI inference on the board's integrated NPU instead of the cloud. Local processing handles the time-critical work; Tuya Cloud stays connected for the rest.

This is the "end-side AI + cloud service + ecosystem synergy" pattern in one working setup: an ARM Cortex-A78AE CPU with integrated NPU on the edge, Tuya Cloud on the back end, IoT devices bridged through one framework.

Features​

• True Local AI Processing: RDK X5 NPU acceleration for on-device AI inference
• Multi-modal agent capabilities: Vision, audio, text processing powered by local NPU
• Seamless IoT device integration: Local control with cloud connectivity
• Hybrid AI processing: Local NPU + cloud AI for optimal performance
• Real-time sensor data processing: Local NPU handles time-critical operations
• Edge computing optimization: ARM-based SBC with dedicated AI acceleration
• Local inference capabilities: Run AI models directly on device without cloud dependency
• TuyaOpen framework integration: Seamless local and cloud AI orchestration

Technology Stack​

• TuyaOpen Framework: Complete AIoT operating system with local NPU + cloud AI capabilities
• Hardware: RDK X5 Single Board Computer, ARM Cortex-A78AE CPU with integrated NPU
• AI Processing: Integrated NPU for true local AI acceleration and inference
• Multi-Modal Capabilities: TuyaOpen's voice interaction, LLM integration with local NPU support
• Connectivity: Wi-Fi, Bluetooth, Ethernet for IoT device communication and cloud connectivity
• Operating System: Linux-based system optimized for edge computing with NPU drivers
• Development: Python, C++, ARM development tools with NPU optimization
• Cloud Integration: Tuya Cloud platform APIs with hybrid local/cloud AI orchestration

Quick Start​

1. Set up RDK X5 development environment
2. Install TuyaOpen framework and dependencies
3. Configure NPU drivers and AI runtime
4. Set up IoT device connectivity
5. Deploy multi-modal agent models
6. Configure cloud-edge synchronization
7. Test local AI processing capabilities

Copyright & License​

This project was developed as part of Adventure X 2025 Hangzhou Hackathon. The project and all its components are owned by the participating team members and contest participants. All rights reserved.