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

No description provided.

Social Distancing Analyzer using OpenCV and YOLO

No description provided.

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

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

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

A tool to detect the driver face recognition and alert the driver with voice commands

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 plates are automatically stored in a SQLite database using the SQLAlchemy library.

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

Simple Streamlit application that parses the data from Invoice images and returns it in JSON format

Computer Vision and IOT projects (ML and DL techniques)

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.

Indranav is a real-time computer vision–powered web application built with FastAPI and React, leveraging dlib’s 68-point facial landmark model and OpenCV for precise facial feature detection and analysis. It combines ML-driven image processing and modern TypeScript + Tailwind UI

One-stop solution to restart the entire nation!

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

Scanner for decoding Barcodes and QRcodes

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

Empowering police to protect and serve with advanced technology, the Android app features image detection and logging capabilities to assist in tracking and identifying stolen vehicles in real-time.

Pan card fraud detection using machine learning

Web app that applies a filter to a live incoming video feed using a neural network trained to detect facial features.

A barcode scanner using opencv2.