{"id":17995821,"url":"https://github.com/doubangotelecom/facelivenessdetection-sdk","last_synced_at":"2025-07-03T21:35:11.838Z","repository":{"id":42996467,"uuid":"354628235","full_name":"DoubangoTelecom/FaceLivenessDetection-SDK","owner":"DoubangoTelecom","description":"3D Passive Face Liveness Detection (Anti-Spoofing) \u0026 Deepfake detection. A single image is needed to compute liveness score. 99,67% accuracy on our dataset and perfect scores on multiple public datasets (NUAA, CASIA FASD, MSU...).","archived":false,"fork":false,"pushed_at":"2024-12-03T11:44:06.000Z","size":83545,"stargazers_count":238,"open_issues_count":2,"forks_count":52,"subscribers_count":7,"default_branch":"master","last_synced_at":"2025-04-13T00:47:03.824Z","etag":null,"topics":["ai","aml","biometrics","deep-learning","deepfake","deepfake-detection","ekyc","face-detection","face-recognition","keras","kyc","liveness","liveness-detection","liveness-probe","machine-learning","spoofing","spoofing-attack","tensorflow"],"latest_commit_sha":null,"homepage":"https://www.doubango.org/webapps/face-liveness/","language":"C++","has_issues":false,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/DoubangoTelecom.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2021-04-04T19:21:57.000Z","updated_at":"2025-04-09T01:28:54.000Z","dependencies_parsed_at":"2025-01-15T17:38:34.033Z","dependency_job_id":null,"html_url":"https://github.com/DoubangoTelecom/FaceLivenessDetection-SDK","commit_stats":null,"previous_names":[],"tags_count":5,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DoubangoTelecom%2FFaceLivenessDetection-SDK","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DoubangoTelecom%2FFaceLivenessDetection-SDK/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DoubangoTelecom%2FFaceLivenessDetection-SDK/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DoubangoTelecom%2FFaceLivenessDetection-SDK/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/DoubangoTelecom","download_url":"https://codeload.github.com/DoubangoTelecom/FaceLivenessDetection-SDK/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248650434,"owners_count":21139672,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["ai","aml","biometrics","deep-learning","deepfake","deepfake-detection","ekyc","face-detection","face-recognition","keras","kyc","liveness","liveness-detection","liveness-probe","machine-learning","spoofing","spoofing-attack","tensorflow"],"created_at":"2024-10-29T21:11:41.312Z","updated_at":"2025-04-13T00:47:32.771Z","avatar_url":"https://github.com/DoubangoTelecom.png","language":"C++","funding_links":[],"categories":[],"sub_categories":[],"readme":"- [Getting started](#getting-started)\n  - [Checking out the source code](#checkout-source)\n  - [Trying samples](#trying-samples) (**C++**, **C#**, **Java** and **Python**)\n  - [Getting help](#technical-questions)\n\n\n- Online web demo at https://www.doubango.org/webapps/face-liveness/\n- Full documentation for the SDK at https://www.doubango.org/SDKs/face-liveness/docs/\n- Supported languages (API): **C++**, **C#**, **Java** and **Python**\n- Open source Computer Vision Library: https://github.com/DoubangoTelecom/compv\n\u003chr /\u003e\n\nTo our knowledge we're **the only company in the world** that can perform 3D liveness check and [identity concealment](https://www.doubango.org/SDKs/face-liveness/docs/Identity_concealment.html) detection from a single 2D image. We outperform [the competition](https://www.doubango.org/SDKs/face-liveness/docs/Testing_the_competition.html) ([FaceTEC](https://www.doubango.org/SDKs/face-liveness/docs/Testing_the_competition.html#facetec), [BioID](https://www.doubango.org/SDKs/face-liveness/docs/Testing_the_competition.html#bioid), [Onfido](https://www.doubango.org/SDKs/face-liveness/docs/Testing_the_competition.html#onfido), [Huawei](https://www.doubango.org/SDKs/face-liveness/docs/Testing_the_competition.html#huawei)...) in speed and accuracy. **Our implementation is Passive/Frictionless and only takes few milliseconds.**\n\n[Identity concealment](https://www.doubango.org/SDKs/face-liveness/docs/Identity_concealment.html) detects when a user tries to partially hide his/her face (e.g. 3D realistic mask, dark glasses...) or alter the facial features (e.g. heavy makeup, fake nose, fake beard...) to impersonate another user.\n\n**A facial recognition system without liveness detector is just useless.**\n\nWe can detect and block all known spoofing attacks: `Paper Print, Screen, Video Replay, 3D (silicone, paper, tissue...) realistic face mask, 2D paper mask, Concealment...`\n\n| 3D Liveness detection | Deepfake detection |\n|--- | --|\n| [![Doubango AI: 3D Face liveness detector stress test](https://doubango.org/videos/liveness/stress-doubango.jpg)](https://doubango.org/videos/liveness/stress-doubango-x264.mp4) | [![Doubango AI: Deepfake detection](https://doubango.org/videos/liveness/deepfake-zelinsky.jpg)](https://doubango.org/videos/liveness/deepfake-zelinsky-x264.mp4) |\n\n\n\u003chr /\u003e\n\nOur passive (frictionless) face liveness detector uses SOTA (State Of The Art) deep learning techniques and can be freely tested with your own images at https://www.doubango.org/webapps/face-liveness/\n\u003chr /\u003e\n\n\u003ca name=\"getting-started\"\u003e\u003c/a\u003e\n# Getting started #\nThis version supports both Windows and Linux x86_64.\n\n\u003ca name=\"checkout-source\"\u003e\u003c/a\u003e\n## Checking out the source code ##\n[The deep learning models](assets/FaceLivenessDetection-Models) are hosted on private repository for obvious reasons. You have to [send us a mail](https://www.doubango.org/#contact) with your company name and Github user name (to be added to the private repo). The mail must come from @YourCompanyName, mails from other domains (e.g. @Gmail) will be ignored. **The terms of use do not allow you to decompile or reverse engineer the models.**\n\n```\ngit clone --recurse-submodules -j8 https://github.com/DoubangoTelecom/FaceLivenessDetection-SDK\n```\n\nIf you already have the code and want to update to the latest version: `git pull --recurse-submodules`\n\n\u003ca name=\"trying-samples\"\u003e\u003c/a\u003e\n## Trying samples (**C++**, **C#**, **Java** and **Python**) ##\nGo to the [samples](samples) folder and choose your prefered language.\n\n\u003ca name=\"technical-questions\"\u003e\u003c/a\u003e\n# Technical questions #\nPlease check our [discussion group](https://groups.google.com/forum/#!forum/doubango-ai) or [twitter account](https://twitter.com/doubangotelecom?lang=en)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdoubangotelecom%2Ffacelivenessdetection-sdk","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdoubangotelecom%2Ffacelivenessdetection-sdk","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdoubangotelecom%2Ffacelivenessdetection-sdk/lists"}