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.

A Flask app that detects fatigue during online classes.

Use python to reconstruct an image from a sinogram

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

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

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.

Face detection using the deep neural networks (dnn) module algorithm in OpenCV.

A self driving bot made using Raspberry Pi, OpenCV and UNO used in real-time detection and text recognition in Barcodes and QR codes

A barcode scanner using opencv2.

Face Detection, landmark detection and gender classification in a unified workflow