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Ratings and Reviews 0 Ratings
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FrontFaceFrontFace is an advanced on-premise software solution for digital signage and kiosks that provides a straightforward way to set up interactive terminals, touchscreen interfaces, and static public displays for various applications, including advertising and information dissemination. It supports a wide range of media formats, allowing you to showcase text, images, PDFs, videos, news tickers, and even complete web pages using HTML5. The standout feature is that you can generate high-definition content using any Windows application that has printing capabilities, enabling you to utilize familiar programs like PowerPoint, Word, and Excel without the need to master a new, complicated design tool. Additionally, FrontFace offers a plugin interface that enhances its functionality by allowing the integration of external calendars such as Office 365 Exchange Online, ICS, or Excel, as well as specialized applications like accident statistics boards or dashboards. Moreover, managing content with FrontFace is incredibly user-friendly and requires no programming expertise, making it accessible to everyone. This combination of features positions FrontFace as an exceptionally versatile choice for anyone seeking to implement digital signage solutions.
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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.
What is OpenCV?
OpenCV, or Open Source Computer Vision Library, is a software library that is freely accessible and specifically designed for applications in computer vision and machine learning. Its main objective is to provide a cohesive framework that simplifies the development of computer vision applications while improving the incorporation of machine perception in various commercial products. Being BSD-licensed, OpenCV allows businesses to customize and alter its code according to their specific requirements with ease. The library features more than 2500 optimized algorithms that cover a diverse range of both conventional and state-of-the-art techniques in the fields of computer vision and machine learning. These robust algorithms facilitate a variety of functionalities, such as facial detection and recognition, object identification, classification of human actions in video footage, tracking camera movements, and monitoring dynamic objects. Furthermore, OpenCV enables the extraction of 3D models, the generation of 3D point clouds using stereo camera inputs, image stitching for capturing high-resolution scenes, similarity searches within image databases, red-eye reduction in flash images, and even tracking eye movements and recognizing landscapes, highlighting its adaptability across numerous applications. The broad spectrum of capabilities offered by OpenCV positions it as an indispensable tool for both developers and researchers, promoting innovation in the realm of computer vision. Ultimately, its extensive functionality and open-source nature foster a collaborative environment for advancing technology in this exciting field.
Integrations Supported
Akira AI
C++
Dash
Intel Open Edge Platform
Java
MATLAB
Python
SikuliX
Weasis
thumbor
Integrations Supported
Akira AI
C++
Dash
Intel Open Edge Platform
Java
MATLAB
Python
SikuliX
Weasis
thumbor
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
Free
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
OpenFaceTracker
Date Founded
2017
Company Website
www.openfacetracker.net
Company Facts
Organization Name
OpenCV
Company Location
United States
Company Website
opencv.org/about/
Categories and Features
Categories and Features
Computer Vision
Blob Detection & Analysis
Building Tools
Image Processing
Multiple Image Type Support
Reporting / Analytics Integration
Smart Camera Integration
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization