Certiface Anti-Spoofing
Alessandro de Oliveira Faria
State of São Paulo
- 0 Collaborators
Certiface AntiSpoofing use oneAPI for fast decode video for perform liveness detection with inference. The system is capable of spotting fake faces and performing anti-face spoofing in face recognition systems. ...learn more
Project status: Published/In Market
oneAPI, HPC, Artificial Intelligence
Groups
Creator Showcase
Overview / Usage
Certiface AntiSpoofing use oneAPI for fast decode video for perform liveness detection with inference. The system is capable of spotting fake faces and performing anti-face spoofing in face recognition systems. The user could try to hold up a your photo. Maybe they even have a photo or video on their smartphone (obtained in facebook, for example)
This project/solution use harness heterogeneous computing architecture including CPUs and GPUs from servers to notebooks. The software tools such as oneVPL, computer vision techniques with openCV and Deep Learning technologies based on Intel features.
Methodology / Approach
Using deep learning for detect photo with fast decoder h264/h265 format video.
Technologies Used
- oneAPI
- openCV
- openVINO
Documents and Presentations
Repository
https://github.com/cabelo/oneapi-antispoofing