Gradual Relaxation using Emotion Recognition
detection of 68 keypoints on face images using Deep CNN
A program which prevents non genuine faces in face recognition systems, using Python and OpenCV
A Multiple Object Tracking problem with Drosophilla. Conducted as part of my Bioinformatics MSc in Collaboration with Imperial's Gilestro Laboratory
Detects eyes in video frames and alters the eyeballs into Sharingan in real time. A Computer Vision and Image Processing project.
Final year project. Used machine learning algorithms and image processing techniques to improve the current night time surveillance systems.
Comprehensive computer vision portfolio featuring face detection, object tracking, deep learning models, YOLO, GANs, and advanced image processing techniques.
This is a basic example of face recognition using Open CV. A example video for test is also given with the code.
Smile Detection using OpenCV & Haarcascade's Dataset
Creating a pipeline to identify key points for a quadrilateral-shaped green card even if there is occlusion with other objects/cards of different color/ cards of green color.
It is an emotion based music player which provides real time media suggestions for users to listen music and watch videos
Face Detection with Python.
A Streamlit application for real-time face detection using webcam feed. This project utilizes OpenCV and Haar Cascade classifier to detect faces and display them in a web interface. Ideal for learning and experimenting with computer vision and real-time video processing.
Object Detection
Artificial Intelligence and Deep Learning Projects
Masks can help reduce the spread of respiratory illnesses, such as COVID-19. . In this project Deep Learning is used along with OpenCV for Detecting Faces With and Without mask.
Face recognition method using Python, OpenCV Haar Cascades
face & eye recognition with OpenCV
Face recognition application with Python, Numpy, OpenCV & HaarCascade
OpenCV detection based security cam using node.js Detects intruders from the webcam video and saves images of them.
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