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What is Prisma AI?

Prisma has developed an advanced facial recognition technology aimed at identifying or verifying individuals using either digital photographs or frames taken from video clips. These systems utilize a range of techniques but primarily function by evaluating unique facial features from the input image and comparing them to a comprehensive database of known faces. Often categorized as a biometric AI application, this technology is capable of distinctly recognizing individuals by analyzing specific patterns in their facial textures and shapes. The distinctive attributes of a person's face act as key identifiers, allowing the system to match them to relevant reference images. Furthermore, image recognition technologies can significantly enhance branding efforts by linking logos to advertisements, websites, and other forms of content. The system's functionality includes the ability to capture images via mobile devices and search against stored reference images for recognition. With a wealth of experience in creating specialized image recognition algorithms, Prisma has successfully expanded its expertise across various applications, thereby enhancing its capabilities to meet the needs of multiple sectors. This evolution represents a significant leap forward in the functionality and effectiveness of image recognition technologies, paving the way for future advancements in the field.

What is OpenFaceTracker?

OpenFaceTracker is an advanced facial recognition application that is capable of identifying one or more faces in images or videos by leveraging a dedicated database for identification purposes. To successfully operate OpenFaceTracker, your system needs to have OpenCV version 3.2 and QT4 installed; you can choose to manually compile these libraries by adhering to the instructions in build_oft or opt for installation via your preferred package manager. Users have the flexibility to compile OpenFaceTracker either as a standalone executable or as a library, depending on their needs. After compilation, users can launch the resulting file to access various features, including detection and recognition capabilities, help options, camera listings, XML database testing, configuration reading, and environmental parameter verification. Built on OpenCV 3.2, OpenFaceTrackerLib introduces a wealth of new algorithms and improvements when compared to version 2.4, with significant restructuring and rewriting of several modules. Although the majority of algorithms from the previous version 2.4 are still accessible, users will need to adapt to potential interface changes. This adaptability is crucial for ensuring effective use of the software. Ultimately, OpenFaceTracker stands out as a versatile and robust solution for accomplishing facial recognition tasks across different platforms and scenarios.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Prisma AI

Company Location

Singapore

Company Website

www.prisma.ai/

Company Facts

Organization Name

OpenFaceTracker

Date Founded

2017

Company Website

www.openfacetracker.net

Categories and Features

OCR

Batch Processing
Convert to PDF
ID Scanning
Image Pre-processing
Indexing
Metadata Extraction
Multi-Language
Multiple Output Formats
Text Editor
Zone Selection Tool

Categories and Features

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