About Civic Sentinel
Civic Sentinel
AI-Powered Civic Infrastructure Anomaly Detection
Civic Sentinel is an advanced computer vision system designed to automatically detect various civic infrastructure anomalies, including potholes, damaged structures, graffiti, and illegal dumping, to help municipal authorities maintain better public infrastructure.
Key Features
- AI-Powered Detection - Random Forest classifier with 95% training accuracy
- Interactive Dashboard - Real-time analytics and visualization
- Detection History - Track and analyze detection patterns
- Export Functionality - Download detection reports
- High Accuracy - 92% test accuracy on road anomaly detection
Technical Details
Algorithm
Random Forest Classifier with optimized hyperparameters
Features
17 image features including edges, texture, color, and contours
Training Data
Plain roads vs. Pothole classification dataset
Performance
95% training accuracy, 92% test accuracy
Processing
Real-time image analysis with confidence scores
API Documentation
Civic Sentinel provides a REST API for programmatic access to the anomaly detection system. This allows integration with other applications and services.
API Endpoints
| Endpoint | Method | Description |
|---|---|---|
/api/status |
GET | Check API status and model availability |
/api/detect |
POST | Detect anomalies in an uploaded image |
Example Usage
curl -X POST -F "file=@road.jpg" http://localhost:5000/api/detect