Certiface Anti-Spoofing

Alessandro de Oliveira Faria

Alessandro de Oliveira Faria

State of São Paulo

10 5
  • 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

Intel Technologies
DevCloud, oneAPI, OpenVINO

Docs/PDFs [1]Code Samples [1]Links [2]

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

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