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3D Mapper ------------------------------------------------------------------------------------------- This project focuses on analyzing material deformation by tracking strain during a forming process. Using an Arducam Time-of-Flight (ToF) camera, we capture depth maps before and after deformation, providing a precise 3D representation of strain. Additionally, an iPhone 13's LiDAR sensor is used for high-resolution 3D modeling, allowing a comparison with ToF data for enhanced accuracy. The test material, plasticine, is chosen for its malleability, enabling controlled deformation under stress. Fiducial markers (dots) are placed on the surface, and images are captured pre- and post-deformation. OpenCV-based image processing detects positional changes in fiducial points, calculating strain as their relative displacement. To improve visualization, only the changes due to deformation are highlighted, removing unchanged fiducial points. This method ensures a clear representation of stress distribution across the material. Challenges like measurement accuracy, noise reduction, and visualization clarity are addressed through the combination of ToF depth sensing and LiDAR-based 3D modeling. The result is an automated, highly visual, and precise strain analysis technique beneficial for industries such as manufacturing, material science, and structural engineering.