Summary

EasyAIoT is an open-source, cloud-edge-device integrated IoT platform designed to democratize AI by enabling truly zero-barrier AI access for everyone. It focuses on massive camera deployments, merging real-time streaming with AI analytics for intelligent vision, making sophisticated AI capabilities accessible across diverse IoT scenarios.

How It Works

The platform utilizes a unique tri-lingual mixed programming architecture (Java, Python, C++) to optimize stability, AI development, and performance. It integrates AI and IoT across cloud, edge, and device layers, featuring multi-protocol camera access (GB28181, ONVIF), vision large model integration (QwenVL3), and millisecond-level real-time AI analysis. A key innovation is zero-shot labeling technology using large models for automated data labeling and model self-optimization.

Quick Start & Requirements

Automated installation scripts are provided for Linux, macOS, and Windows, alongside Docker containerized deployment options. Supports x86 and ARM (RK3588) architectures, with localized OS compatibility (Kylin, UOS).

• Demo URL: http://36.111.47.113:8888/ (admin/admin123)
• Documentation: Link to "Platform Deployment Documentation" mentioned.
• Repositories: GitHub (https://github.com/soaring-xiongkulu/easyaiot), Gitee (https://gitee.com/soaring-xiongkulu/easyaiot).

Highlighted Details

• AI: Supports GB28181/ONVIF cameras, QwenVL3 vision LLM, real-time analysis (detection, behavior), OCR, and speech recognition.
• IoT: Comprehensive device management, MQTT/TCP/HTTP protocol support, rule engine, and multi-channel notifications.
• Architecture: Modular (7 projects) for independent edge deployment.
• Cross-platform: Linux (server/edge), macOS, Windows (incl. ARM).

Maintenance & Community

Contributors are noted for documentation and deployment scripts. Community access is facilitated through technical exchange groups, accessible via WeChat and an official account/knowledge planet.

Licensing & Compatibility

MIT License: 100% free use, modification, distribution for individuals/enterprises. No commercial restrictions.

Limitations & Caveats

Caveat: Explicitly a 'learning project,' not for commercial activities. Users bear full legal responsibility for compliance and usage risks.