# easyaiot **Repository Path**: widthunkon/easyaiot ## Basic Information - **Project Name**: easyaiot - **Description**: 我希望全世界都能使用这个系统,实现AI的真正0门槛,人人都能体验到AI带来的好处,而并不只是掌握在少数人手里。支持上千种垂直场景,支持AI模型定制化和AI算法定制化开发 深度融合,赋能万物智视:EasyAIoT 构筑了物联网设备(尤其是海量摄像头)的高效接入与管控网络。我们深度融合流媒体实时传输技术与前沿人工智能(AI),打造一体化服务核心。 - **Primary Language**: Java - **License**: Apache-2.0 - **Default Branch**: main - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 368 - **Created**: 2025-11-28 - **Last Updated**: 2025-11-28 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # EasyAIoT (Cloud-Edge-Device Integrated Collaborative Algorithm Application Platform) [](https://gitee.com/soaring-xiongkulu/easyaiot/stargazers) [](https://gitee.com/soaring-xiongkulu/easyaiot/members)
My vision is for this system to be accessible worldwide, achieving truly zero barriers to AI. Everyone should experience the benefits of AI, not just a privileged few.
EasyAIoT is a cloud-edge-device integrated intelligent IoT platform that focuses on the deep integration of AI and IoT, achieving a complete closed-loop from device access to data collection, AI analysis, and intelligent decision-making, truly realizing interconnected everything and intelligent control of everything.
#### 🧠 AI CapabilitiesI believe no single programming language excels at everything, but with a combination of three languages, EasyAIoT will be invincible—fortunately, I possess this trait.
Java is suitable for platform development but not for network or AI programming; Python is good for network and AI programming but not for high-performance task execution; C++ excels in high-performance tasks but is unsuitable for the other two. The vision of EasyAIoT is to use a tri-lingual mixed programming approach to build an AIoT platform that's not so easy to implement but very easy to use.
 ### 🔄 Module Data Flow
### 🤖 Zero-Shot Labeling Technology
Innovatively leveraging large models to construct a zero-shot labeling technical system (ideally eliminating manual labeling, completely freeing up human resources), this technology generates initial data through large models and completes automatic labeling via prompt engineering. It then ensures data quality through optional human-machine collaborative verification, thereby training an initial small model. This small model, through continuous iteration and self-optimization, achieves co-evolution of labeling efficiency and model accuracy, ultimately driving continuous improvement in system performance.
### 🏗️ Project Architecture Features
EasyAIoT is not actually one project; it is seven distinct projects.
What's the benefit? Suppose you are on a resource-constrained device (like an RK3588). You can extract and independently deploy just one of those projects. Therefore, while this project appears to be a cloud platform, it simultaneously functions as an edge platform.
🌟 Genuine open source is rare. If you find this project useful, please star it before leaving - your support means everything to us!
(In an era where fake open-source projects are rampant, this project stands out as an exception.)
EasyAIoT consists of five core projects:
| Module | Description |
| WEB Module | Frontend management interface based on Vue, providing a unified user interaction experience |
| DEVICE Module |
|
| VIDEO Module | Python-based video processing module responsible for video stream processing and transmission |
| AI Module | Python-based artificial intelligence processing module responsible for video analysis and AI algorithm execution |
| TASK Module | C++-based high-performance task processing module responsible for compute-intensive task execution |
EasyAIoT supports deployment on Linux, Mac, and Windows, providing flexible and convenient deployment solutions for users in different environments:
Unified Experience: Regardless of the operating system chosen, EasyAIoT provides consistent installation scripts and deployment documentation, ensuring a uniform cross-platform deployment experience.
## ☁️ EasyAIoT = AI + IoT = Cloud-Edge Integrated SolutionSupports thousands of vertical scenarios with customizable AI models and algorithm development.
EasyAIoT constructs an efficient access and management network for IoT devices (especially massive cameras). We deeply integrate real-time streaming technology with cutting-edge AI to create a unified service core. This solution not only enables interoperability across heterogeneous devices but also deeply integrates HD video streams with powerful AI analytics engines, giving surveillance systems "intelligent eyes" – accurately enabling facial recognition, abnormal behavior analysis, risk personnel monitoring, and perimeter intrusion detection.
In terms of IoT device management, EasyAIoT provides comprehensive device lifecycle management capabilities, supporting multiple IoT protocols (MQTT, TCP, HTTP) to achieve rapid device access, secure authentication, real-time monitoring, and intelligent control. Through the rule engine, intelligent data flow and processing of device data are realized, combined with AI capabilities for in-depth analysis of device data, achieving full-process automation from device access, data collection, intelligent analysis to decision execution, truly realizing interconnected everything and intelligent control of everything.
## ⚠️ Disclaimer
EasyAIoT is an open-source learning project unrelated to commercial activities. Users must comply with laws and
regulations and refrain from illegal activities. If EasyAIoT discovers user violations, it will cooperate with
authorities and report to government agencies. Users bear full legal responsibility for illegal actions and shall
compensate third parties for damages caused by usage. All EasyAIoT-related resources are used at the user's own risk.
## 📚 Deployment Documentation
- [Platform Deployment Documentation](.doc/部署文档/平台部署文档.md)
## 🎮 Demo Environment
- Demo URL: http://36.111.47.113:8888/
- Username: admin
- Password: admin123
## ⚙️ Project Repositories
- Gitee: https://gitee.com/soaring-xiongkulu/easyaiot
- Github: https://github.com/soaring-xiongkulu/easyaiot
## 📸 Screenshots
We offer various service options to help you gain an in-depth understanding of the EasyAIoT platform and its code. Through product documentation, technical exchange groups, paid tutorials, and more, you will receive the following services:
| Service Item | Service Content | Service Fee | Service Method |
|---|---|---|---|
| System Deployment | Complete EasyAIoT deployment in the customer-specified network and hardware environment | ¥500 | Online Deployment Support |
| Technical Support | Provide solutions for issues encountered during deployment and functional usage | ¥200 | Online Remote Support within 30 Minutes |
| Model Training | Train business scenario recognition models | ¥1000+ | Customized Model Training |
| Other Services | Customized development for vertical industry solutions; tailored duration and functional services | Negotiable | Negotiable |
We welcome suggestions for improvement to help refine easyaiot.
## 📄 CopyrightSoaring Xiongkulu / easyaiot is licensed under the APACHE LICENSE 2.0. When using the product, please note the following: