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.
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Updated
May 4, 2019 - Python
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 CNN based algorithm with 91% accuracy for brain tumor detection.
A Flask app that detects fatigue during online classes.
A Docker DevBox for Jupyter Notebook's with a focus on Computer Vision, Machine Learning, Finance, Statistics and Visualization.
Social Distancing Analyzer using OpenCV and YOLO
Use python to reconstruct an image from a sinogram
A barcode scanner using opencv2.
Face Detection, landmark detection and gender classification in a unified workflow
A hackathon project that dynamically detects the engagement level of students based on eye aspect ratio (EAR).
Driver Drowsiness Detector detects if a driver or a person is drowsy or not, using their eye movements.
Academics made Affordable.
One-stop solution to restart the entire nation!
ComputerVision
Rendering webcam Image through python OPEN-CV (Deployed in Heroku)
A self driving bot made using Raspberry Pi, OpenCV and UNO used in real-time detection and text recognition in Barcodes and QR codes
The application reads the input image files and performs edge detection to generate a birds-eye view of the document, it generates a scanned copy of the same and saves it as an image file as well as a pdf in an output folder.
Face detection using the deep neural networks (dnn) module algorithm in OpenCV.
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