Real time face-mask detection using Deep Learning and OpenCV

Real time webcam face detection, protect yourself from COVID19 with a virtual mask

Real-time Face Mask Detection using TensorFlow and Keras.

Real Time Face Mask Detection using Tensorflow/Keras | Inference on Image, Video and Webcam on ONNX Runtime Environment

With recent advances in both Artificial Intelligence (AI) and Internet of Things (IoT) capabilities, it is more possible than ever to implement surveillance systems that can automatically identify people who might represent a potential security threat to the public in real-time. Imagine a surveillance camera system that can detect various on-body weapons, suspicious objects, and traffic. This system could transform surveillance cameras from passive sentries into active observers, which would help prevent a possible mass shooting in a school, stadium, or mall. In this project, we tried to realize such systems by implementing Smart-Monitor, an AI-powered threat detector for intelligent surveillance cameras. The developed system can be deployed locally on the surveillance cameras at the network edge. Deploying AI-enabled surveillance applications at the edge enables the initial analysis of the captured images on-site, reducing the communication overheads and enabling swift security actions. We developed a mobile app that users can detect suspicious objects in an image and video captured by several cameras at the network edge. Also, the model can generate a high-quality segmentation mask for each object instance in the photo, along with the confidence percentage. The camera side used a Raspberry Pi 4 device, Neural Compute Stick 2 (NCS 2), Logitech C920 webcam, motion sensors, buzzers, pushbuttons, LED lights, Python Face recognition, and TensorFlow Custom Object Detection. When the system detects a motion in the surrounding environment, the motion sensors send a signal to the Raspberry Pi device notifying it to start capturing images for such physical activity. Using Python’s face recognition and TensorFlow 2 custom object detection Smart-Monitor can recognize eight classes, including a baseball bat, bird, cat, dog, gun, hammer, knife, and human faces. Finally, we evaluated our system using various performance metrics such as classification time and accuracy, scalability, etc.

Real-time face mask detection.

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A deep learning algorithm for real-time object detection is proposed to automatically identify face-mask-wearing status in high-density crowds.

To further help combat the corona virus (COVID-19), this repository can be used for real-time face mask detection using webcam with an impressive accuracy. For convenience, the source codes are shared both in MATLAB and Python.

💡Innovative Flutter app with TensorFlowLite for real-time mask😷, fruit🥭, and face😉 detection🕵️‍♂️. Integrates API, SQLite to-do list📃, animated interactions, dynamic TextToSpeech/SpeechToText. A showcase of Flutter's prowess in intuitive object detection💪.

Real-Time Face Mask Detector With Python, OpenCV, Keras

Real-time tiny-YOLOv3 face mask detection on Ultra96v2

Face Mask Detection web application built with Flask, Keras-TensorFlow, OpenCV. It can be used to detect face masks both in images and in real-time video.

Developed a lightweight MobileNetV2 face mask detection model for identifying a person wearing a mask or not with an accuracy of 92.64% and f1 score of 0.93%.

Real-time face mask detection model

In this time of Covid19, this project helps in detecting face masks with a score of 96% using deep learning

A real time face mask detection model

Determines whether a specific user is wearing a face mask or not using a 2-factor approach written in Python with TensorFlow and OpenCV modules. Includes a Google Colab notebook tutorial and code for real-time detection using OpenCV.

Using neural networks, this real-time application can locate faces and predict whether they are wearing hygienic masks or not using the computer's webcam.

Real-time face-mask and cough detection

This project aims to develop a real-time face mask detection and classification system using computer vision techniques.

Support both image and video real time face mask detection end-to-end

Masked-Face Recognition and detection system that can achieve real-time face recognition while wearing a facial mask.

Face Mask Detection system built with OpenCV, Keras/TensorFlow using Deep Learning and Computer Vision concepts in order to detect face masks in static images as well as in real-time video streams.

Trained Custom Model on YOLO-V5 to detect NO-Mask and play a Alarm

thisisabusufyan/Real-Time-Face-Mask-Detection-using-yolov5-OpenCV-and-Python.-Detect-masks-real-time-video-stream : You can download directly dataset form the given kaggle link Dataset : https://www.kaggle.com/deepakat002/face-mask-detection-yolov5 and also from my google drive https://drive.google.com/drive/folders/1AXQj2rcgKlxvfuYGeY2vHpeKnzc36hM_?usp=sharing

PYTHON MACHINE LEARNING PROJECT(COVID-19)

Going to use OpenCV to do real-time face mask detection from a live stream via our webcam.

A toolkit for face detection, annotation, emotion, age, gender, mask detection, and real-time facial landmark visibility.

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