Smart Road Crack Detection — Web App | Automated Pavement Inspection 🚧🛣️

Описание: Automated, lightweight image-based system for detecting, localizing, and quantifying pavement cracks — built for engineers and maintenance teams.

• What this demo covers:
➤ Quick project overview and motivation
➤ Live demo: upload → process → annotated results
➤ Metrics produced: crack count, total area, skeleton length, mean width, and a tunable severity index ✓
➤ Design choices: explainable pipeline, low compute requirements, modular architecture for easy upgrades ⚙️

• Key features
• Annotated overlay images for easy validation 🖼️
• Downloadable CSV/JSON reports for integration with asset-management systems 📁
• Lightweight processing suitable for laptops and edge devices 💻📱

• Tech highlights
• Python, Flask (web UI) + OpenCV / scikit-image for processing 🐍
• Modular pipeline (preprocessing → segmentation → postprocessing → analysis) 🔁
• Configurable severity metric for prioritized maintenance planning 📊

• Who should watch
• Road engineers, infrastructure managers, researchers, and developers interested in practical, explainable computer-vision solutions for civil infrastructure.

Requirements: Python 3.x, OpenCV, scikit-image, Flask

Like 👍 • Subscribe 🔔 • Comment 💬 if you’d like a pilot, demo, or help integrating with your asset-management system.

#RoadCrackDetection #PavementInspection #ComputerVision #InfrastructureAI #EdgeComputing #OpenCV