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This project is a web-based application that uses face recognition technology to facilitate user sign-up and sign-in processes. It leverages React.js for the frontend and Local storage for the database. The face recognition functionality is powered by the face-api.js library.
The Campus Eye Graduation Project aims to improve security at PSUT campus, by automating the verification of student IDs at entrances and controlling car access with computer vision and image processing techniques. Additionally, it assists lecturers in automating attendance taking process.
ICASSP 2023-2024 Papers: A complete collection of influential and exciting research papers from the ICASSP 2023-24 conferences. Explore the latest advancements in acoustics, speech and signal processing. Code included. Star the repository to support the advancement of audio and signal processing!
CVPR 2023-2024 Papers: Dive into advanced research presented at the leading computer vision conference. Keep up to date with the latest developments in computer vision and deep learning. Code included. ⭐ support visual intelligence development!
InspireFace is a cross-platform face recognition SDK developed in C/C++, supporting multiple operating systems and various backend types for inference, such as CPU, GPU, and NPU.
The MFSD (Masked Face Segmentation Dataset) is a comprehensive dataset designed to advance research in masked face related tasks such as segmentation. This dataset is especially relevant in the context of the COVID-19 pandemic, where mask-wearing has become widespread.
This repository contains the source code for my paper on masked face segmentation. Utilizing PyTorch, we developed a deep learning segmentation network to accurately identify mask regions on faces.