Postgraduate Student
Master Thesis: "Digital Twin," where a sub-unit of a FESTO Didactic setup was simulated in MATLAB Simulink to study the kinematic behavior and improve the system by altering the parameters in the mechanism (to carry out predictive maintenance).Projects in OpenCV: Object detection is a computer vision technique for locating instances of objects in images or videos. Object detection algorithms typically leverage machine learning or deep learning to produce meaningful results. The two projects created by integrating Python libraries are:1. Camera Calibration: The two main objectives of this project were, - To calculate the intrinsic matrix and distortion vector of the images provided in a video - Reduce the distortion in the images/frames to as close to zero as possible.2. The Scanner: - Resizing: to reduce the resolution of the image for a faster and smoother process. - Edge detection: conversion of the image to grayscale, Gaussian blur of the image, Canny edge detection. - Contours and corner detection: to detect all the four edges of the document. - Perspective transform: to select and align the document - Binarization: the perspective image is converted into black and white for a paper-like scanned document.
