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support

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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

Screenshots View All

No images available

Integrations

Amazon Rekognition No 

Integrations

Amazon Rekognition Yes 

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

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