AI Roof Visualization Tool For Construction
Executive Summary
This project focuses on developing an advanced AI-driven roof visualization tool designed to assist homeowners and contractors in selecting the right roofing materials with confidence. By leveraging cutting-edge computer vision and image processing systems, the tool enables users to virtually preview different shingle options on their roofs, ensuring a seamless assessment of architectural compatibility and visual appeal before making a purchase.
The application accurately overlays the user-selected shingle samples onto user-uploaded images, delivering photorealistic previews in seconds. This real-time visualization capability simplifies the exploration of different roofing materials, providing an interactive and immersive experience for users.
The solution was specifically designed for businesses in the roofing and home improvement industry, to streamline the decision-making process while cutting operational costs. The objective of this project was to develop a pipeline capable of accurately detecting the roof structure and overlaying the shingle textures while preserving the orientation and spatial consistency.
About Our Client
Client Name: Confidential
Industry: Construction, Software
Location: United States
Technologies
Computer Vision, Instance Segmentation, Object Detection, Image Processing, OpenCV, NumPY, PyTorch, CUDA, SAM2, Grounding DINO, FastAPI, AWS, Make Sense, YOLO, Mask-R-CNN, Detectron2
