Makes the standard Windows logon procedure more convenient. It allows you to access a Windows computer in an easy and fast way by using any web camera. Login is performed automatically once the face has been recognized by the program. Rohos Face Logon identifies a user by biometric verification based on neural network technology.
We also working to add more authentication methods to Face Logon such as One Time Password (with Google Auth) and continuous authentication. With continuous authentication Rohos will periodically perform face biometric verification in background while user is working on computer.
Rohos Face Logon is a good product where we can introduce with various authentication methods and their combinations. Initially rohos Face Logon was designed as a password replacement solution, just for login convenience. Later we have added a possibility to use regular USB drive as a login key an alternative. In this update we added two new possibilities:
We are working to add new experimental feature and introduce continuous authentication into Face Logon. Nowadays a great attention is focused to protect personal data access by implementing strong authentication controls. The adoption of Multi Factor Authentication (MFA) is recommended by many industry regulators (GDPR, HIPPA, PC-DSS, FFIEC). Face recognition login system is able to authenticate users with almost no iteration, specially if person is working on computer and keep head watching toward display. It is a great opportunity to employ continuous authentication approach, where system constantly verify user identity in the background, preferably with no user iteration.
Rohos Face Logon (Free) is a program that simplifies the standard Windows logon process by allowing users to log in automatically when their face is recognized. With this program, users can easily and quickly access their Windows computer using any web camera.
Facial recognition has become one of the most debated technologies of recent times. Tech giants like IBM, Microsoft, Amazon, Google and others have been doing extensive research around it to help enhance numerous consumer applications, enhance security, help organisations go touchless in pandemic and more.
While these are large-scale applications, installing facial recognition software into a personal computer can help in various ways such as automated login, use as a biometric for more convenient access, verify personal identity and more. Various organisations are now looking to install facial recognition software into personal computers, and with this article, we take you through nine best facial recognition software for your PC.
The custom facial recognition software from Clarifai offers two powerful ways to integrate AI, which are Clarifai API and the portal. The face detection system returns probability scores on the likelihood that the image contains human faces and coordinate locations of where those faces appear with a bounding box.
This system is being used in various sectors, including hospitality, retail, media, etc. The image, video and text recognition solutions are built on the machine learning platform and are made accessible via API, device SDK and on-premise.
Developed by a team of researchers at Facebook, DeepFace is a lightweight facial recognition and facial attribute analysis framework that leverages a very large labelled dataset of faces to obtain a face representation that generalises well to other datasets.
It covers a variety of deployment scenarios from edge devices to cloud solutions or even on-premise. Also, the AI-based features can be applied to pedestrian safety and mobility, incident detection, vehicle recognition, among others to provide automated video analysis.
FaceFirst is a popular facial recognition software for retail stores, including superstores, grocery, and department stores. The software offers a full range of biometric surveillance, mobile and desktop forensic face detection capabilities to fight theft, organised retail crime and workplace violence.
It includes high-quality cameras and API that easily integrates face recognition analytics with existing technology systems. FaceFirst offers various functions such as authentication, access control, in-person ID verification, online ID verification and age verification.
Face++ AI is a software that offers computer vision technologies which enable applications to read and understand. The software allows users to easily carry deep learning-based image analysis, with simple and powerful APIs and SDKs.
Face++ AI Open Platform offers both free and premium options for all users. While the free option allows access to all Face++ APIs, with no usage limits, no upfront fees and no commitments, premium membership includes Pay-As-You-Go and Monthly Plan, along with technical support, for businesses of all sizes.
OpenFaceTracker is an open-source facial recognition program that is capable of detecting one or several faces on a picture or a video and to identify them via a database. The software comes with lGPLv3 license and a stable version 3.0.
Paravision face recognition is a computer vision developer toolset that powers a wide range of face recognition applications. The facial recognition enables comprehensive security and is deployable in the cloud, on-premises or at the edge.
The software provides a comprehensive toolset for developing advanced face recognition solutions that includes face detection, face verification, face identification, real-time streaming video, among others.
Rohos Face Logon is a facial recognition software that allows a user to access a Windows computer in an easy and fast way by using any web camera. The software identifies a user by biometric verification based on neural network technology.
Trueface is an AI-powered facial recognition and digital identity verification system. The platform applies advanced computer vision technology to camera footage and images to enable businesses and other purposes to make immediate decisions based on identified patterns.
Trueface has developed a suite of the software development kit and a dockerised container solution that harness the powers of machine learning and AI to transform the camera data into actionable intelligence.
b1e95dc632