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Average Ratings 0 Ratings
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.
Description
SightRadar is a cloud-based API designed for developers who want to integrate facial recognition capabilities such as search, comparison, and detection into their applications. It allows users to index faces from images into collections that they manage, search these collections using selfies, perform one-to-one face comparisons for verification, and detect faces with high accuracy and confidence. The API is designed to be compatible with AWS Rekognition, meaning it can accept similar request and response formats, enabling developers to seamlessly direct their AWS SDK clients to the SightRadar endpoint. With SDKs available for Python and Node/TypeScript, as well as a REST API, developers have flexible options for implementation. Potential applications range from managing photo galleries for events and weddings to facilitating identity verification during onboarding processes, and organizing media libraries, all adhering to consent-based practices. Images used for detection are processed in memory, and the indexed face embeddings remain within collections that customers can choose to delete at any time. The pricing model is based on the number of photos processed, with additional fees applied for storing face vectors, ensuring that developers only pay for the resources they utilize. This comprehensive service provides an effective solution for various identity verification and media management needs.
API Access
Has API
Yes
API Access
Has API
Yes
Screenshots View All
No images available
Integrations
Amazon Rekognition
No
Pricing Details
No price information available.
Free Trial
Yes
Free Version
Yes
Pricing Details
$0.00062/photo
Batch processing is $0.00062 per photo; real-time is $0.00093 per photo. Face-ID searches cost $0.00062 each; storage is $6 per million face vectors monthly, prorated daily. Usage is prepaid in USD credits, with no subscription or minimum usage. Paid top-ups start at $10; higher account-specific purchase minimums may apply.
Free Trial
Yes
Free Version
No
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
Yes
iPad App
No
Android App
Yes
Windows
No
Mac
No
Linux
Yes
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Oz Forensics
Founded
2017
Country
United Arab Emirates
Website
ozforensics.com
Vendor Details
Company Name
SightRadar
Founded
2026
Country
India
Website
sightradar.com
Product Features
Product Features
Alternatives
Alternatives
No Alternatives