Face Mask Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras
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Updated
Mar 21, 2023 - Jupyter Notebook
Face Mask Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras
Leading free and open-source face recognition system
Face Recognition on NIST FRVT Top Ranked ,Face Liveness Detection Engine on iBeta 2 Certified(3D Face Anti-Spoofing) on Android
Upgrade your Android app with MiniAiLive's 3D Passive Face Liveness Detection! With our advanced computer vision techniques, you can now enhance security and accuracy on your Android platform. Check out our latest repository containing a demonstration of 2D & 3D passive face liveness detection capabilities. Try it out today!
Real time face-mask detection using Deep Learning and OpenCV
Face mask detection system using Deep learning.
NIST FRVT Top Ranked Face Recognition, iBeta 2 Certified Liveness Detection (3D Face Passive Anti-Spoofing) Engine!
MaskedFace-Net is a dataset of human faces with a correctly and incorrectly worn mask based on the dataset Flickr-Faces-HQ (FFHQ).
iBeta (Level 2) Certified, Single-Image Based Face Liveness Detection (Face Anti Spoofing) Server SDK
Monitor people violating Social Distancing or not wearing Face Masks in public through CCTV footage.
Social Distancing and Face Mask Detection using TensorFlow. Install all required Libraries and GPU drivers as well. Refer to README.md or REPORT for know to installation requirement
In this project, we develop a pipeline to detect unmasked faces in images. This can, for example, be used to alert people that do not wear a mask when entering a building.
Detect faces and determine whether people are wearing mask.
DaisyKit is an easy AI toolkit with face mask detection, pose detection, background matting, barcode detection, face recognition and more. - with NCNN, OpenCV, Python wrappers
A real-time face mask detector based on computer vision and deep learning, created using Pytorch and OpenCV
Face mask detection on Raspberry Pi 4
Proper Mask Wearing Detection and Alarm System based on Deep Learning and trained using Tensorflow/Keras
Using pre-trained CNN's w/ transfer learning to detect face masks in real-time. The Haar-cascade classifier in OpenCV is used for facial recognition and bounding boxes.
Face Mask Detection using YOLOv5
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