| | --- |
| | title: SAMADHAN - Smart Infrastructure Detection |
| | emoji: 🔍 |
| | colorFrom: blue |
| | colorTo: purple |
| | sdk: gradio |
| | sdk_version: 5.46.0 |
| | app_file: app.py |
| | pinned: false |
| | license: mit |
| | --- |
| | |
| | # 🔍 SAMADHAN - Smart Infrastructure Detection System |
| |
|
| | AI-Powered Classification for Urban Infrastructure Management using YOLOv8 |
| |
|
| | ## 🎯 Features |
| |
|
| | - **Image Detection**: Upload images to detect and classify infrastructure objects |
| | - **Video Processing**: Process videos with real-time object detection |
| | - **Department Classification**: Automatically categorizes detections into three main departments: |
| | - 🗑️ **Garbage Department**: Container, Garbage |
| | - 🕳️ **Pothole Department**: Crocodile crack, Longitudinal crack, Pothole |
| | - 💡 **Streetlight Department**: HV-switch, Crossarm, Streetlight, Traffic-light, Transformer |
| |
|
| | ## 🚀 How to Use |
| |
|
| | 1. **Image Detection**: |
| | - Upload an image using the file uploader |
| | - The system automatically processes and shows detection results |
| | - View classified department and detected objects with confidence scores |
| |
|
| | 2. **Video Detection**: |
| | - Upload a video file (MP4, AVI, MOV) |
| | - Click "Process Video" to analyze |
| | - Download the processed video with detection annotations |
| |
|
| | ## 🛠️ Technology Stack |
| |
|
| | - **AI Model**: YOLOv8 (Ultralytics) |
| | - **Frontend**: Gradio |
| | - **Backend**: Python, OpenCV |
| | - **Deployment**: Hugging Face Spaces |
| |
|
| | ## 📊 Supported Objects |
| |
|
| | The system can detect and classify 10 different types of infrastructure objects: |
| | - Container, Garbage |
| | - Crocodile crack, Longitudinal crack, Pothole |
| | - HV-switch, Crossarm, Streetlight, Traffic-light, Transformer |
| |
|
| | ## 🎨 Interface |
| |
|
| | Modern, responsive web interface with: |
| | - Professional gradient header |
| | - Department classification with emojis |
| | - Real-time processing indicators |
| | - Mobile-friendly design |
| |
|
| | ## 📝 Use Cases |
| |
|
| | Perfect for: |
| | - **Municipal Departments**: Automated infrastructure monitoring |
| | - **Smart Cities**: Real-time urban management |
| | - **Research**: Infrastructure analysis and planning |
| | - **Citizen Services**: Quick issue reporting and classification |
| |
|
| | ## 🔧 Installation |
| |
|
| | ```bash |
| | pip install -r requirements.txt |
| | python app.py |
| | ``` |
| |
|
| | ## 📄 License |
| |
|
| | MIT License - Feel free to use and modify for your projects! |
| |
|
| | --- |
| |
|
| | Built with ❤️ using YOLOv8 and Gradio | Powered by AI for Smart City Management |
| |
|
