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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 OculiX?

OculiX is the modern Java successor to SikuliX (Raimund Hocke, 2010) and to the original Sikuli research project (Yeh et al., MIT UIST 2009). The lineage covers 17 years of continuous open source visual automation development, and OculiX is the current active branch of that history — modernized codebase, Java 17+ baseline, contemporary IDE, and a strict MIT license. The niche of Java-based open source visual automation has effectively one serious project, and OculiX is it. Everything else in the space is either Python (PyAutoGUI, SikuliX-Python wrappers) or proprietary (Applitools, Ranorex, TestComplete, Eggplant). OculiX ships batteries-included: OpenCV template matching, embedded Tesseract OCR with no user install, a Swing-based IDE with a modern recorder that generates scripts in Python, Java, or Robot Framework syntax, a Java API for embedding into any JUnit / TestNG / Katalon test project, and Model Context Protocol servers for LLM agent workflows. Cross-platform: Windows, macOS (Intel + Apple Silicon), Linux (x86-64 + aarch64, including glibc-legacy). Adopted by 150+ organizations including Neo4j, Siemens, Synopsys, Johnson & Johnson, IBM, General Motors. Repository on GitHub at oculix-org/Oculix. MIT license.

Media

Media

Integrations Supported

Integrations Supported

Apache Groovy
Apache Maven
Gradle
JUnit
Java
JavaScript
Katalon Studio
Kotlin
Model Context Protocol (MCP)
OpenCV
PaddleOCR
Python
RDPWindows
Robot Framework
Ruby
Tesseract
VNC Connect

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Free
Free Version

Supported Platforms

SaaS
Windows
Linux

Supported Platforms

Windows
Mac
On-Prem
Linux

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

OpenFaceTracker

Date Founded

2017

Company Website

www.openfacetracker.net

Company Facts

Organization Name

OculiX

Date Founded

2026

Company Location

France

Company Website

oculix.org

Categories and Features

Facial Recognition

Not specified

Categories and Features

Robotic Process Automation (RPA)

Attended Automation
Image Recognition
Optical Character Recognition
Third Party Application Integration
Unattended Automation

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