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FindFace is a face recognition technology developed by the Russian company NtechLab that specializes in neural network tools. The company provides a line of services for the state and various business sectors based on FindFace algorithm.
PimEyes is a facial recognition search website that allows users to identify all images on the internet of a person given a sample image. The website is owned by EMEARobotics, a corporation based in Dubai. The owner and CEO of EMEARobotics and PimEye is Giorgi Gobronidze, who is based in Tbilisi, Georgia. [1]
For organizing photos, Picasa has file importing and tracking features, as well as tags, facial recognition, and collections for further sorting. It also offers several basic photo editing functions, including color enhancement, red eye reduction, and cropping. Other features include slide shows, printing, and image timelines.
Google Docs is an online word processor and part of the free, web-based Google Docs Editors suite offered by Google.Google Docs is accessible via a web browser as a web-based application and is also available as a mobile app on Android and iOS and as a desktop application on Google's ChromeOS.
In a review of Google Drive after its launch in April 2012, Dan Grabham of TechRadar wrote that the integration of Google Docs into Google Drive was "a bit confusing", mainly due to the differences in the user interfaces between the two, where Drive offers a "My Drive" section with a specific "Shared with me" view for shared documents. He ...
FaceNet is a facial recognition system developed by Florian Schroff, Dmitry Kalenichenko and James Philbina, a group of researchers affiliated with Google.The system was first presented at the 2015 IEEE Conference on Computer Vision and Pattern Recognition. [1]
Facial recognition works by pinpointing unique dimensions of facial features, which are then rendered as a vector graphic image of the face. Fawkes is a facial image cloaking software created by the SAND (Security, Algorithms, Networking and Data) Laboratory of the University of Chicago . [ 1 ]
It is analogous to image detection in which the image of a person is matched bit by bit. Image matches with the image stores in database. Any facial feature changes in the database will invalidate the matching process. [3] A reliable face-detection approach based on the genetic algorithm and the eigen-face [4] technique: