Facia
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.
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FacePlugin
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.
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Amazon Rekognition
Amazon Rekognition makes it easy to add image and video analysis to your applications using proven, highly scalable, deep learning technology that requires no machine learning expertise to use. With Amazon Rekognition, you can identify objects, people, text, scenes, and activities in images and videos, as well as detect any inappropriate content. Amazon Rekognition also provides highly accurate facial analysis and facial search capabilities that you can use to detect, analyze, and compare faces for a wide variety of user verification, people counting, and public safety use cases.
With Amazon Rekognition Custom Labels, you can identify the objects and scenes in images that are specific to your business needs. For example, you can build a model to classify specific machine parts on your assembly line or to detect unhealthy plants. Amazon Rekognition Custom Labels takes care of the heavy lifting of model development for you, so no machine learning experience is required.
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Oz Liveness
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 .
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