Computer Vision

Detecting blobs and filter them based on different characteristics Using OpenCV

Using motion analysis and trajectory-based tracking in the frame of the video

Using MediaPipe to detect Face Mesh to estimate 468 3D face landmarks in real-time

Using MediaPipe to detect Hand landmarks to infer 21 3D landmarks of a hand from just a single frame in real-time Video

Matching images using detection of features from the provided images using ORB and BRIEF 

Build a motion detection and tracking real-time system using Python and OpenCV 

Using Histograms of Oriented Gradients (HOG) to detect a human from real-time video.

Using SIFT algorithm extract keypoints and compute its descriptors.

Using OpenCV to track objects in real-time video. 

Utilizing the dataset from the Cats vs. 

Dogs competition, employing (CNNs) for image classification tasks using TensorFlow.