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Description
Eyematch.ai serves as a sophisticated facial recognition platform aimed at enabling users to find instances of their face on the internet. By simply uploading one photograph, the AI system examines distinct facial characteristics, including proportions and patterns, and then scours the web for images that resemble the uploaded photo. In contrast to basic reverse image searches, Eyematch.ai excels at recognizing the same individual across various photographs, lighting conditions, and angles. This tool empowers users to track their online presence, identify any unauthorized usage of their images, safeguard their personal privacy, and remain informed about how their likeness is disseminated online. Eyematch.ai caters to those who wish to detect potential image misuse, comprehend their digital identity, or simply become aware of their facial representation on the internet. Furthermore, the images uploaded are utilized solely for the purpose of search and are not retained post-processing, which ensures a commitment to privacy and transparency throughout the user experience. This makes Eyematch.ai not only a powerful resource for personal monitoring but also a vital tool for enhancing digital safety in an increasingly connected world.
Description
Created by experts at Oz Forensics, the biometric module utilizes cutting-edge artificial intelligence techniques and undergoes regular enhancements through ongoing data updates. In 2020, their face recognition algorithm recorded exceptional accuracy rates on the LFW dataset during testing at the University of Massachusetts, showcasing its effectiveness. The Oz Biometry module provides rapid identification capabilities, achieving speeds of under one second with an impressive accuracy of 99.87%.
With the advent of front-facing cameras on smartphones since the early 2010s, facial biometrics have emerged as a convenient method for user authentication. This technology can be employed not only during the registration phase but also for searching and verifying identities against extensive biometric databases.
Additionally, facial biometrics play a crucial role in the KYC (Know Your Customer) process, where selfie images are matched with document photos to verify user identity and check their status against biometric “black” and “white” lists. This integration of facial recognition into daily security measures enhances both user experience and safety.
API Access
Has API
API Access
Has API
Screenshots View All
No images available
Integrations
No details available.
Integrations
No details available.
Pricing Details
$20.99 per month
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Eyematch.ai
Founded
2024
Country
Singapore
Website
eyematch.ai/
Vendor Details
Company Name
Oz Forensics
Founded
2017
Country
United Arab Emirates
Website
ozforensics.com