A computer vision system made with the help of opencv that can automatically detect driver drowsiness in a real-time video stream and then play an alarm if the driver appears to be drowsy.

Input image is resized to 10x10 pixel, to reduce the computation, Convert it to LAB color space to access the luminous channel which is independent of colors, Normalize pixel values to be in range of 0 - 1. Compare the mean value of pixels with a threshold value.

A Flask app that detects fatigue during online classes.

Use python to reconstruct an image from a sinogram

A Docker-based devcontainer for Jupyter Notebook's with a focus on Computer Vision, Machine Learning, Finance, Statistics and Visualization.

Academics made Affordable.

An image search engine made using python GUI, that extracts and stores features from images in database in the form of color correlogram and compares each against that of the query image, to retrieve similar images from the database.

A real time mask detection system to open and close the door

Social Distancing Analyzer using OpenCV and YOLO

An automated Face Mask detection system and age prediction with Email Authentication is built using the Deep Learning technique called Convolutional Neural Networks (CNN).

Rendering webcam Image through python OPEN-CV (Deployed in Heroku)

WakeApp: driver drowsiness detection | AI project to detect driver's blinks and yawns using neural networks and computer vision

Computer Vision and IOT projects (ML and DL techniques)

A hackathon project that dynamically detects the engagement level of students based on eye aspect ratio (EAR).

A CNN based algorithm with 91% accuracy for brain tumor detection.

Flask ALPR is a web service for automatic license plate recognition (ALPR). The web service is written in Python using Flask for REST API and OpenCV with PyTesseract for plate recognition. The service offers two REST API-s, one for checking if licence plate is detected and one for detecting licence plate from camera image. All detected licence p…

Scanner for decoding Barcodes and QRcodes

The Driver Drowsiness Detection System uses computer vision to monitor facial landmarks and blinking patterns in real-time, alerting drivers to their alertness status to prevent accidents due to drowsiness.