Color Segmentation: Intro to Yolo

Our project began with an engaging challenge: to digitally map the future home of the Institute of Advanced Architecture of Catalonia (IAAC) using cutting-edge technology. We harnessed photogrammetry, a method that transforms a series of photos into a comprehensive 3D model, using both drones and smartphones to capture the images. This technique allowed us to construct a detailed virtual representation of the IAAC building.

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Following the completion of the scanning and the digital reconstruction of the building, our attention shifted towards the analysis and data extraction from the painted surfaces. This step was critical for developing a comprehensive plan for potentially repainting these surfaces. Our analysis aimed to map out a workflow that would encompass everything from identifying areas of damage to estimating the total volume of paint required for the project.

We experimented with the following methodologies:

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1. Computer Vision

2. Deep Learning (YOLO)