Visual ChangeGuard Dashboard
Modern Next.js 16 dashboard for AI-powered visual change detection using OpenCV with multiple visualization modes including overlays, heatmaps, and difference maps
Advanced Change Detection System
Visual ChangeGuard is a modern Next.js 16 dashboard for AI-powered visual change detection using OpenCV. This application detects pixel-level changes between two images and provides multiple visualization modes including change masks, overlays, heatmaps, and difference maps.
Inspired by NVIDIA Visual ChangeNet, perfect for property damage assessment, quality control, infrastructure monitoring, construction tracking, home security, and vehicle care applications.
Platform Stack
Core Capabilities
10 Visualization Modes
Overlay Tab with change overlay and contours, Alpha Overlay. Comparison Tab for side-by-side. Detection Tab with masks, bounding boxes, contours, difference maps. Analysis Tab with heatmaps (JET colormap) and intensity maps (HOT). Advanced Tab with edge detection overlay.
Detailed Analytics
Comprehensive analytics including confidence scores, change percentage calculations, pixel-level statistics, number of distinct change regions detected, and bounding box measurements with area labels for precise tracking.
Advanced Processing
Image preprocessing with resize, grayscale conversion, and Gaussian blur. Absolute difference calculation, threshold application for binary masks, morphological operations to clean noise, and contour detection with multiple visualization options.
Dashboard Interface
Comprehensive pages including dashboard with statistics and quick start, change detection with 10 visualization modes, use cases showcasing 9 real-world applications, gallery for managing saved analyses, and settings for configuration.
Use Case Library
Perfect for property damage assessment in insurance claim processing, quality control in manufacturing defect detection, infrastructure monitoring for roads and bridges, construction progress tracking, home security change detection, and vehicle damage assessment.
Real-time Processing
Fast image processing with progress tracking, real-time visualization updates, and comprehensive error handling. Dual-server architecture with Python backend for OpenCV processing and Next.js frontend for user interface.
Technical Specifications
Getting Started
Quick setup guide for Visual ChangeGuard
Install Frontend Dependencies
npm install
Setup Python Backend
cd python-backend && python3 -m venv venv && pip install -r requirements.txt
Start Python Backend
cd python-backend && ./start.sh
Start Next.js Frontend
npm run dev
Navigate to http://localhost:3000
Ready to Deploy Visual Change Detection?
Transform your quality control and monitoring capabilities with AI-powered change detection