Morphing attack detection (MAD) was a major theme of the European Association for Biometrics’ (EAB’s) workshop on live enrollment last year, and as AI makes sophisticated biometric spoof attacks more ...
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face-mask-detection/ ├── dataset/ │ ├── with_mask/ # Training images with masks │ └── without_mask/ # Training images without masks ├── model/ │ ├── mask_detector.h5 # Trained model (generated) │ └── ...
ABSTRACT: Eye center annotation is vital for ophthalmic diagnostics and surgery. However, existing algorithms often require specialized equipment and face challenges in real-time performance, ...
Grocery chain Wegmans’ expanding use of facial recognition technology in New York City is reigniting debates over consumers’ privacy rights and retailers’ interest in safeguarding their stores. But ...
iProov has demonstrated that a readily available generative AI face-swapping tool could be used to evade biometric liveness detection software and perform injection attacks, endangering remote ...
In this tutorial, we build a fully local, API-free agentic storytelling system using Griptape and a lightweight Hugging Face model. We walk through creating an agent with tool-use abilities, ...
Abstract: Face detection with visible-spectrum cameras can capture facial features, but it often fails to distinguish live subjects from spoof sources such as photographs, masks, or statues. Previous ...
Recently I watched a video of myself getting arrested for drunken driving. Then I watched myself burn an American flag. Then I watched myself confess to eating toenail clippings. None of it happened.
This project is a Face Detection Web Application built using Python, OpenCV, and Streamlit. It allows users to upload an image or use their webcam in real-time to detect faces.