kby-ai/face-liveness-detection

Product & Resources

For more information, visit KBY AI's GitHub Repository.

FaceLivenessDetection-Docker

Overview

This Docker image implements face liveness detection technology via a Flask API and Gradio.
It includes features for testing face liveness detection using both image files and base64-encoded images.

Docker Run

Pull docker image

sudo docker pull kbyai/face-liveness-detection:latest

• Run run docker container with license key file.

sudo docker run -v ./license.txt:/root/kby-ai-live/license.txt -p 8080:8080 -p 9000:9000 kbyai/face-liveness-detection:latest

• Or run docker container with license key string.

sudo docker run -e LICENSE="xxxxx" -p 8080:8080 -p 9000:9000 kbyai/face-liveness-detection:latest

SDK License

This Docker image utilizes KBY-AI's Face Liveness Detection Server SDK, which requires a license for each machine or instance on which it runs.

• To get the machine code for license, use the following command:

sudo docker run -e LICENSE="xxxxx" kbyai/face-liveness-detection:latest 

• To request the license, please provide us with the machine code obtained from your console.

Contact us:
🧙Email: contact@kby-ai.com
🧙Telegram: @kbyaisupport
🧙WhatsApp: +13348402323
🧙Discord: KBY-AI
🧙Teams: KBY-AI

Try the API

Gradio Demo

To test the Gradio demo from the Docker image, access it at http://127.0.0.1:9000 or http://localhost:9000.

Postman

To test the API, use Postman. Here are the endpoints for testing:

• Test with an image file: Send a POST request to http://127.0.0.1:8080/check_liveness.

• Test with a base64-encoded image: Send a POST request to http://127.0.0.1:8080/check_liveness_base64.

  Download the Postman collection to access and use these endpoints easily. Click here