Best Facial Recognition Software for Linux

Sumsub's facial recognition technology is part of a broader AI-powered trust infrastructure platform, combining identity verification, biometric authentication, and liveness checks to confirm that a real, matching person is behind every interaction. This is not a standalone tool but one signal among many that feed into Sumsub's unified decisioning engine, helping businesses catch fraud that isolated checks would miss. Built with Summy AI and AI-powered decisioning, it supports fast, accurate verification across more than 220 countries and territories. Sumsub serves regulated sectors including financial services, crypto, and iGaming, and is recognized as a Leader by Gartner, Forrester, IDC, Liminal, and KuppingerCole. It's trusted by 4,000+ clients, including Bybit, Bitpanda, and Kaizen Gaming, for accurate, scalable facial recognition.

Oz Liveness is a leading facial recognition and authentication software used by private and public organizations across the globe to lower the risk of biometric fraud by preventing deepfake and spoofing attacks with 100% accuracy. The technology has been validated by the industry’s most rigorous testing standard, ISO 30107-3 iBeta level 1 and 2 certifications. It helps organizations validate they are dealing with a real person within seconds, lowering compliance and fraud risks. Oz Liveness features advanced algorithms able to detect many forms of biometric spoofing, including 3D and 2D masks and photos along with photos or videos displayed on a mobile or a laptop screen. On-device Liveness detection and face biometry checks allow to use of a phone as a personal biometric device. No data is sent to the server from the device and stays in the customer's hands. On-device Liveness is perfect in any customer’s use case, improving the reachability and stability of the services .

MiniAiLive is a provider of Touchless Biometrics Authentication, ID verification solutions. We offer strong security solutions with cutting-edge technologies for facial recognition, liveness detection, and ID document recognition. We also ensure that these solutions seamlessly integrate with our clients’ existing systems. MiniAiLive face recognition app is an advanced face recognition app designed to provide secure and reliable access control solutions with the added layer of passive liveness detection. Our app ensures that only authorized individuals gain access to sensitive areas, accounts, or services, while minimizing the risk of unauthorized access through spoofing or impersonation attempts.

RECOGNITO is a global leader and trusted provider of Face Biometrics and ID Document Verification solutions that are fully optimized for usability, security, and privacy. Recognito SDK is the world's leading face-based identity verification solution with NIST FRVT Top Algorithm. - Product • Face Recognition SDK: 🏆 NIST FRVT Top 1 Face Recognition Algorithm • Face Liveness Detection SDK: DeepFake Detectable, 2D/3D Liveness Detection Algorithm • ID Document Verification SDK: ID, Passport Document OCR and MRZ, Barcode Analysis - Features • On-premise, Fully offline and On-device SDK • Compact Library-type SDK for easy on-premise installation. • Simple and comprehensive API.

Welcome to FacePlugin, the leading provider of fully On-Premises Identity Verification Solutions. Our robust suite of services includes state-of-the-art technologies such as Face Recognition, Face Liveness Detection, ID Document Recognition and Palm print recognition Our face recognition algorithm is super fast and unbiased. Our liveness detection model can detect spoofing attacks including printed photo, video replay, 3D masks and deepfake. Our ID document recognition solution can recognize ID documents from 180+ countries and it can recognize all kinds of ID documents including ID card, Passport and Driver License. SDKs we offer - Face recognition SDK (Android, iOS, Server) - Liveness detection SDK (Android, iOS, Server) - ID document recognition SDK (Android, iOS, Server) - Palmprint recognition SDK (Server) Programming languages: Python, Swift, Object C, Java, Kotlin, Flutter We provide free integration support.

Our solutions are designed to be efficient, using low memory and delivering high performance. We have a variety of algorithms and will provide a highly suitable SDK tailored to meet the specific requirements of our clients. The main solutions are face liveness, face recognition, and ID card recognition. Features - High Accuracy - Light-Weight Model - Several algorithms - Mobile and Server

Luxand FaceSDK is a cutting-edge, cross-platform software development kit designed to deliver high-performance face recognition, identification, and facial feature detection. Perfect for software developers worldwide, Luxand FaceSDK integrates seamlessly with web, desktop, and mobile applications, enabling face-based user authentication, as well as automatic face detection and recognition, elevating the user experience to new heights.

We make it easy to add superhuman computer vision to your applications, devices and processes to give you unassailable competitive advantage. No code, customizable & on-premise AI solutions.

RecFaces Id-Guard is a software developed for video surveillance and security systems that allows you to expand the functions of a classic video surveillance system using identification in the video stream. Main features: Fast installation in 20 minutes Integration with world leaders Movement tracking at the facility All face recognition capabilities for your real-time video surveillance system: - Instant notification of the operator about alarming events at the workplace or through a mobile application; - Improving the accuracy of identifications during operation due to self-learning of the system and auto-update of the profile base; - Efficiency of incident investigation using parametric search in a long-term archive; - Fast search for people in the archive by photo, video or verbal description of facial features, hair, glasses, etc.; - Simple construction of complex reports, including the routes of people moving on the facility’s maps in the system.

Developed by Oz Forensics specialists, the biometric module incorporates the latest practices in artificial intelligence and is consistently improved by continuous data enrichment. The face recognition algorithm from Oz Forensics achieved one of the best test results in accuracy on the LFW dataset in University of Massachusetts tests in 2020 MIT LFW. The Oz Biometry module allows identifying people with less than 1-second speed and 99.87% accuracy. Since the beginning of the 2010s, every smartphone has a front camera, making facial biometrics a natural way for authentication. Face biometry can be used both in the registration process and in the process of searching and authentication on large biometric databases. Facial biometrics are used in the KYC process to compare selfie photos with photographs from documents and confirm the presence of a user in biometric “black” and “white” lists.

Paravision is a core Identity AI technology provider delivering top-tier accuracy, fairness, and performance. Its AI products, including face recognition, liveness detection, deepfake detection, and age estimation, powering identity workflows for enterprises and government agencies. Paravision consistently ranks among the top global performers in industry benchmarks, including NIST’s Face Recognition Technology Evaluations and DHS Biometric Tests. Its technology enables identity, access, and fraud prevention systems at global scale. Trusted by leaders across travel, payments, digital identity, hospitality, security, and health identity sectors, the company combines benchmark-leading performance with ethically built, modular AI infrastructure for high-accuracy identity verification and authentication.

OpenFaceTracker is a facial recognition program capable to detect one or several faces on a picture or a video, and to identify them via a database. OpenFaceTracker needs OpenCV3.2 and QT4 installed on your machine, you’ve got two options, if you love compiling libraries by hand, please follow build_oft, and installing Opencv and QT using your favorite packaging tool. You can compile OFT as a library or you can compile it as a standalone binary file. You can then open the file and execute the detection and recognition module. You can show help and exit, show the list of all available cameras, you can test the XML DB, read from the OFT config, and check the environment. OpenFaceTrackerLib uses Opencv 3.2. This latter has introduced many new algorithms and features comparing to version 2.4. Some modules have been rewritten, some have been reorganized. Although most of the algorithms from 2.4 are still present, the interfaces can differ.

Founded in 2022, Facia specializes in biometric authentication and facial recognition technology. We leverage advanced AI and ML algorithms to deliver secure solutions for businesses. Our 3D liveness detection technology offers rapid responses in under a second, achieving a 0% False Acceptance Rate (FAR) with an FRR below 1% to prevent unauthorized access. Our services include 1:1 Photo ID Verification, 1:N Face Search, and Age Verification. We offer customizable API and SDK integration options for seamless compatibility. Our system provides real-time 3D face verification, ensuring speed and precision without compromising security. We protect against print and mask-based spoofing. Facia is dedicated to advancing biometric authentication, providing secure identity verification solutions for businesses.