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Average Ratings 0 Ratings
Description
OpenFaceTracker is a facial recognition application designed to recognize one or more faces in images or videos by using a database for identification. To run OpenFaceTracker, your system must have OpenCV 3.2 and QT4 installed; you can either compile the libraries manually by following build_oft or install OpenCV and QT through your preferred package manager. You have the option to compile OpenFaceTracker either as a library or as a standalone executable. Once compiled, you can open the resulting file to utilize the detection and recognition features, display help and exit options, list all available cameras, test the XML database, read the configuration settings, and verify environmental parameters. OpenFaceTrackerLib is built on OpenCV 3.2, which has brought numerous new algorithms and enhancements compared to version 2.4, with several modules being restructured and rewritten. While most algorithms from version 2.4 remain available, the interfaces may vary, necessitating users to familiarize themselves with the changes. Ultimately, OpenFaceTracker offers a versatile solution for facial recognition tasks across various platforms.
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
No
Free Version
No
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
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
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
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
OpenFaceTracker
Founded
2017
Website
www.openfacetracker.net
Vendor Details
Company Name
SightRadar
Founded
2026
Country
India
Website
sightradar.com
Product Features
Product Features
Alternatives
Alternatives
No Alternatives