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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

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Screenshots View All

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

Product Features

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