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What is SikuliX?

SikuliX is an open-source automation application that enables users to manipulate any visible items on their desktop interfaces, operating seamlessly on Windows, Mac, and certain Linux/Unix systems. Utilizing image recognition technology through OpenCV, it allows for the automation of tasks that are often difficult to accomplish through traditional scripting methods. In addition, SikuliX includes an Integrated Development Environment (IDE) for creating visual scripts derived from screenshots and a Java API that helps integrate image-driven automation into pre-existing software solutions. Released under the MIT license, this software is readily available for a variety of uses. Moreover, SikuliX employs OpenCV for its image processing functionalities and Tesseract for text recognition capabilities, enhancing its overall performance. Users are recommended to download the latest stable version, SikuliX 1.1.1, to fully leverage its extensive features while enjoying continual updates and enhancements. Its distinctive image-oriented method makes SikuliX an exceptional choice for automation aficionados and developers seeking efficient solutions in their workflows. This tool not only simplifies repetitive tasks but also encourages creativity in automation strategies.

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

Android
Apache NetBeans
Clojure
Eclipse IDE
IntelliJ IDEA
Java
JavaScript
OpenCV
Python
Ruby
Scala
Tesseract

Integrations Supported

Android
Apache NetBeans
Clojure
Eclipse IDE
IntelliJ IDEA
Java
JavaScript
OpenCV
Python
Ruby
Scala
Tesseract

API Availability

Has API

API Availability

Has API

Pricing Information

Free
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

SikuliX

Company Website

sikulix.com

Company Facts

Organization Name

OpenFaceTracker

Date Founded

2017

Company Website

www.openfacetracker.net

Categories and Features

Robotic Process Automation (RPA)

Analytics
Attended Automation
Code-free Development
Image Recognition
Optical Character Recognition
Process Builder
Third Party Application Integration
Unattended Automation

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