# easyaiot
**Repository Path**: soaring-xiongkulu/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**: Not specified
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: Yes
## Statistics
- **Stars**: 601
- **Forks**: 140
- **Created**: 2025-08-06
- **Last Updated**: 2025-09-14
## Categories & Tags
**Categories**: iot
**Tags**: None
## README
# EasyAIoT (DeepCore AI Cloud Platform)
### 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.
## Now and forever, no commercial version—dedicated to revitalizing the lost tradition of Confucian scholarship.
## 🌟 Some Thoughts on the Project
#### Project Positioning: Supports access to less than a hundred cameras, labeling, training, inference, collection, analysis, alerting, recording, storage, and deployment (supporting RTSP streams, videos, images, etc.).
#### Note: Accessing over a hundred cameras requires technologies such as Kubernetes cloud-native programming, NVIDIA GPU encoding/decoding acceleration, and RK3588 NPU acceleration. These significantly increase the complexity of the open-source project, which goes against the principles of open-source. Therefore, scenarios involving over a hundred cameras are placed in the sister project MegAIoT + Modu Open Platform. The purpose of this separation is to decouple the infrastructure platform from vertical domain solutions, achieving deployment in 5 minutes and customization within 1 hour.
### I believe no single programming language excels at everything, but a combination of three languages would make EasyAIoT unbeatable—and it just so happens that I possess this exact trait.
### Java is suitable for platform development but not ideal for network programming or AI tasks. Python excels in network and AI programming but falls short in high-performance execution. C++ is great for high-performance execution but lacks strengths in the other two areas. The vision for EasyAIoT is to blend these three languages into one integrated system, building an AIoT platform that may be challenging to implement—but incredibly easy to use.
#### Data flow between modules is as follows:
#### 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.)
## 🎯 Application Scenarios
## 🛠️ Solutions
## 🧩 Project Structure
EasyAIoT consists of five core projects:
- **WEB Module**: Frontend management interface based on Vue
- **DEVICE Module**: Java-based device management module responsible for IoT device access and management
- **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 = AI + IoT = Cloud-Edge Integrated Solution
Supports thousands of vertical scenarios with customizable AI models and algorithm development.
Deep integration empowers intelligent vision for everything: 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.
## ⚠️ 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.
## 📚 Official Documentation
- Documentation: http://pro.basiclab.top:9988/
## 🎮 Demo Environment
- Demo URL: http://pro.basiclab.top:8888/
- Username: admin
- Password: admin123
## ⚙️ Project Repositories
- Gitee: https://gitee.com/soaring-xiongkulu/easyaiot
- Github: https://github.com/soaring-xiongkulu/easyaiot
## 🛠️ Technology Stack
### Frontend
- **Core Framework**: Vue 3.3.8
- **Development Language**: TypeScript 5.2.2
- **Build Tool**: Vite 4.5.0
- **UI Component Library**: Ant Design Vue 4.0.7
- **State Management**: Pinia 2.1.7
- **Routing**: Vue Router 4.2.5
- **HTTP Client**: Axios/Alova 1.6.1
- **CSS**: UnoCSS 0.57.3
- **Package Manager**: pnpm 9.0.4
### Backend
- **DEVICE Module Framework**:
- Spring Boot 2.7.18
- Spring Boot Starter Security
- Gateway
- SkyWalking
- OpenFeign
- Sentinel
- Nacos
- Kafka
- TDEngine
- MyBatis-Plus
- PostgreSQL
- **AI Module Framework**：
- Python 3.11+
- Flask
- Flask-Cors
- Flask-Migrate
- Flask-SQLAlchemy
- OpenCV (cv2)
- Pillow (PIL.Image)
- Ultralytics
- Psycopg2-Binary
- **VIDEO Module Framework**：
- Python 3.11+
- WSDiscovery
- Netifaces
- Onvif-Zeep
- Pyserial
- Paho_Mqtt
- Flask
- Flask-Cors
- Flask-Migrate
- Flask-SQLAlchemy
- Psycopg2-Binary
- **TASK Module Framework**：
- C++17
- Opencv2
- Httplib
- Json
- Librknn
- Minio-Cpp
- Mk-Media
- RGA
- Logging
- Queue
- Thread
## 📸 Screenshots
## 🛠️ Service Support
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 |
## 📞 Contact Information (Please follow and enter the keyword "Technical Exchange")
## 🪐 Knowledge Planet:
## 💰 Sponsorship
## 🙏 Acknowledgements
Thanks to the following contributors for code, feedback, donations, and support (in no particular order):
## 📄 Open Source License
[MIT LICENSE](LICENSE)
## ©️ Copyright Notice
EasyAIoT follows the [MIT LICENSE](LICENSE). Commercial use is permitted provided original author/copyright information
is retained.
## 🌟 Star Growth Trend Chart
[](https://starchart.cc/soaring-xiongkulu/easyaiot)
