{"repo":"MiniAiLive/FaceLivenessDetection-Docker","free":true,"listed":false,"github":"https://github.com/MiniAiLive/FaceLivenessDetection-Docker","clone":"git clone https://github.com/MiniAiLive/FaceLivenessDetection-Docker.git","description":"iBeta (Level 2) Certified, Single-Image Based Face Liveness Detection (Face Anti Spoofing) Server SDK","language":"Python","stars":20,"topics":["age-gender-estimation","android-sdk","attendance-system","authentication","biometrics","face-alignment","face-anti-spoofing","face-detection","face-liveness","face-matching"],"license":null,"category":"auth-billing-email","readme_excerpt":"Face Liveness Detection Docker Welcome to the MiniAiLive! A 100% spoofing-prevention rate for both 3D printed and resin facial masks, confirms MiniAiLive® as a leading facial recognition solution for preventing biometric fraud in remote applications, such as online banking, requiring identity verification before granting access to sensitive data or valuable assets. Feel free to use our MiniAI 3D Face Passive Liveness Detection (face anti-spoofing) Docker. Note SDK is fully on-premise, processing all happens on hosting server and no data leaves server. Latest SDK Download Here Table of Contents - Installation Guide - API Details - Gradio Demo - Python Test API Example Face-LivenessSDK Docker Installation Guide Prerequisites - Python 3.6+ - Linux - CPU: 2 cores or more - RAM: 8 GB or more Installation Steps 1. Download the Face Liveness Detection Docker Image: Download the Server Docker Image from the following link: Download the On-premise Server Installer 2. Install the On-premise Docker Server: Run the Docker Image and follow the on-screen instructions to complete the installation. Go to the Download folder and run this command. You can refer our Documentation here. https://docs.miniai.live 3. Request License and Update: You can generate the License Request file by using this command: Then you can see the license request file on your directory, and send it to us via email or WhatsApp. We will send the license based on your Unique Request file, then you can upload the license","default_branch":null,"files":null,"tree":[],"storefront":"/r/MiniAiLive","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/MiniAiLive/FaceLivenessDetection-Docker/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}