GA DSI Capstone project - Face Mask Detection using Computer Vision and Machine Learning

An app that puts on a mask to your face using face detection with machine learning

A Machine Learning Real-time Face Mask Detection project built in Python using OpenCV, Tensorflow, and Keras

To develop a “Face mask detection” software using Python Programming Language & DataScience, to facilitate easy mask detection from real time video stream as well as from image. About Module: The corona virus COVID-19 pandemic is causing a global health crisis so the effective protection methods is wearing a face mask in public areas according to the World Health Organization (WHO). The COVID-19 pandemic forced governments across the world to impose lockdowns to prevent virus transmissions. Reports indicate that wearing facemasks while at work clearly reduces the risk of transmission. An efficient and economic approach of using AI to create a safe environment in a manufacturing setup. A hybrid model using deep and classical machine learning for face mask detection will be presented. A face mask detection dataset consists of with mask and without mask images, we are going to use OpenCV to do real-time face detection from a live stream via our webcam. We will use the dataset to build a COVID-19 face mask detector with computer vision using Python, OpenCV, and Tensor Flow and Keras. Our goal is to identify whether the person on image/video stream is wearing a face mask or not with the help of computer vision, data science and deep learning.

MIni Project on Face Mask Detection using ML

Real time Face Mask Detection using Deep Learning & Machine Learning to recognize whether an individual is wearing a face mask or not. This was then used in conjunction with OpenCV facial recognition deep learning model to detect all faces and pass them to our Face Mask model for an assessment.

The corona virus COVID-19 pandemic is causing a global health crisis so the effective protection methods is wearing a face mask in public areas according to the World Health Organization (WHO). The COVID-19 pandemic forced governments acrossthe world to impose lockdownsto prevent virustransmissions. Reportsindicate that wearing facemasks while at work clearly reduces the risk of transmission. An efficient and economic approach of using AI to create a safe environment in a manufacturing setup. A hybrid model using deep and classical machine learning for face mask detection will be presented. A face mask detection dataset consists of with mask and without mask images , we are going to use OpenCV to do real-time face detection from a live stream via our webcam. We will use the dataset to build a COVID-19 face mask detector with computer vision using Python, OpenCV, and Tensor Flow and Keras. Our goal isto identifywhether the person on image/video stream is wearing a face mask or not with the help of computer vision and deep learning.

I have developed a Face Mask Detection system using a Machine Learning algorithm. This makes it incredibly convenient to monitor whether the person entering the building is wearing a face mask or not.

Face mask detection refers to detect whether a person is wearing a mask or not. In fact, the problem is reverse engineering of face detection where the face is detected using different machine learning algorithms for the purpose of security, authentication and surveillance.

🎭 🦸 🦹 A project based in Computer Vision, most precisely in Facial Detection and Virtual Reality. This project was built using Python, OpenCV (Open Source Computer Vision Library), Makefile, C++ (C Plus Plus), CMake, CUDA (Compute Unified Device Architecture) and C. The project it's a simple application to apply some Superheroes' Masks to the Detected and Recognised Faces by Video Capture/Stream, with support of Predictors and Machine Learning.

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machine learning python code for detecting face masks using opencv and tensorflow

Face mask detection using machine learning

Face mask detection using machine learning

Face Mask Detection using Machine Learning

Face Mask Detection using Machine Learning & OpenCV

Face Mask Detection With Alert Using Machine Learning

FACE MASK DETECTION USING PYTHON AND MACHINE LEARNING

A hybrid model using deep and classical machine learning for face mask detection.

Machine learning project on face mask detection on a video stream using CNN algorithm

A surveillance app for CCTV with analysis like mask detection, face recognition, crowd detection etc. using Machine Learning

Face Mask Detection is the task of recognizing if a person is wearing a mask or not using Machine Learning technology.

A Machine Learning Real-time Face Mask Detection project built in Python using OpenCV, Tensorflow, and Keras

Face detection is a branch of image processing that uses machine learning to detect faces in images . Face Mask Detection System uses existing IP cameras and CCTV cameras combined with Computer Vision to detect people without masks and alert the person who are not wearing mask.

A new gig has emerged that focuses on face mask detection using Python. This gig involves using computer vision and machine learning techniques to detect whether a person is wearing a face mask or not.

Face Mask Detection Project is a computer vision project that detect whether a person is wearing a face mask or not using CNN. This project involves developing a machine learning model that can accurately detect faces in real-time video or image feeds, and then determine if the face is covered with a mask or not.

Wearing a protective face mask has become a new normal. Therefore, face mask detection has become a crucial task to help global society. This project presents a simplified approach to achieve this purpose using some basic Machine Learning packages like TensorFlow, Keras, OpenCV and MobileNet.

This is a project i worked on for making a automated monitoring of compliance using machine learning face mask detection and also through smart card authentication to verify the authorized person.

The Real-Time Face Mask Detection System with OpenCV and Python was developed using Python and OpenCV during the COVID-19 pandemic, when the World Health Organization (WHO) emphasized the importance of wearing masks to protect against the virus. In this tutorial, we will build a machine learning project — a real-time face mask detector using Pytho