FastFace Pro on Windows Pc

FastFace Pro is the client part of our comprehensive facial recognition system capable of finding identical or similar persons. Based on advanced AI algorithms, Cydral Technology's experts in machine learning created a smart and innovative search engine to enhance the user experience for people identifying.

FastFace is probably the world's largest facial system available to the general public for free at the present time. Our internal tools have already analyzed more than a billion images to create a database of more than 100 million faces, with new faces added every day. With the support of all our users, we will continue to produce high value-added products and services.
Looking for an online demo? Try it from our website here: https://www.fastface.eu/facezam.html.

Given a detected face extracted from a picture taken by a camera or loaded from a library and a set of public candidate faces to search with, FastFace Pro finds a small set of faces that look most similar to the target face.
Additionally, and for each uploaded image, FastFace returns attributes such as the estimated age and the gender.

FastFace analysed a large set of images from the main social sites, also coming from general media web sites. As a new opportunity for identifying individuals, we also added to FastFace's database image profiles provided by Interpol from its public website.

Unlike other face recognition technologies, FastFace allows quick searches in big data sets. Our system can work with any photographic database, current results though it use public images found on the Internet and indexed by our specific crawlers.

Accurate and scalable facial recognition system:
FastFace allows you to provide photos of similar people and related public information, mainly where the image appears on the Internet.
It is not a standard reverse image search engine, but a comprehensive system integrating a top quality face recognition technology based on several deep learning algorithms developed by Cydral Technology.
Collecting and analysing hundreds of millions of Web images, our service finds out a person within few seconds, retrieving results from our internal database.

Typical Use Cases:
✓ Large-scale search by photo: you see a celebrity on the street that you can't quite recognize... FastFace her/him!
✓ "Who is this actor?": try out the name suggestion for well-known celebrities during a movie
✓ Person identification: identify a person on photo in few seconds with an impressive precision
✓ Live ID: perform real-time identification using the camera directly from your phone
✓ Gender and age-guessing tool: besides finding your look-alike, our system will do its best to guess the age and gender of the people in the shot, a feature also to maximize your efficiency
✓ Easy to use and funny: simply select the image you want to use in your phone gallery or take a photo to instantly start your search
✓ Alert management: a search can lead to the auto-generation of an alert. Since our database is regularly updated, the application notifies you at start if new matches are found based on your searches of the last 30 days
✓ Advanced search engine: our flexible search engine behind the mobile application provides effective feature filtering to restrict results

Tips to improve your search experience:
✓ Some things can trip up the search process, such as bad image quality, sometimes objects that obscure the face or a face that’s mostly in profile
✓ To improve the search accuracy, it is sometimes valuable to directly upload photos rather than using the mobile phone camera
✓ On some devices, an image capture using the camera intent gets rotated. In this case, the accuracy drastically decreases

We're always excited to hear from you! If you have any feedback, questions or concerns, please email us at: info [at] fastface [dot] eu.
Web site: https://www.fastface.eu/
Online demo: http://www.fastface.eu/facezam.html

- Facezam becomes FastFace Pro!
- Improving the relevance of research
- Integrated module for alert management
- Access to a bigger database than the previous version