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Java framework for face detection and facerecognition based on different plugin and filter types. Includes Eigenfaces in pure Java, OpenCV detection via JNI, integration of the Betaface.com Web Service, skin color filter, Adobe XMP Export and a nice GUI
OpenNeuron is a neural networks implementation written in Java. Currently supports only Kohonen Network model, but API is designed to be easily extended to model other network types. This implementation was used for face thermal pictures recognition.
This project is an attempt to solve issues we face while using hibernate.Currently solving these four problems: 1)Updating object delete null data. 2)Projection returns list of object[] instead of pojo. 3)Don't write HQL 4)Paging logic rewrit
MobHealth is an extensible mobile health framework/API written in JavaME. The current version supports two sensor-data formats (e.g. used by AliveTec). It already provides higher-level classes for data recognition like body position or hypoxia-detection.
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An Instant Messaging App which utilizes the newly released facebook.com developer API (developers.facebook.com) to merge Instant Messaging with the facebook.com community experience.
An Iris Recognition system written in Java. Acquires an image, locates the iris and produces a unique 'iris profile' for it. Will be fully supported by its own GUI but potentially linked into other applications, such as xlock.
The MRCPv2 protocol is designed to allow client devices to control media processing resources, such as speech recognition engines. MRCP4J provides a JavaAPI that encapsulates the MRCPv2 protocol and can be used to implement MRCP clients and/or servers.
Voice Conference Manager uses VoiceXML and CCXML to control speech recognition, text to speech, and voice biometrics for a telephone conference service. Say the names or numbers of people and VCM places them into the call. Can be hosted on public servers
The Open Java Trading System (OJTS) is meant to be a common infrastructure to develop (stock) trading systems. There are four parts: gathering of raw data over the internet, recognition of trading signals, a visualisation module and trading with banks.
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The purpose of SNX is to have a modular series of components that report back to a central repository and 'AI' for pattern recognition and anomoly detection. This is to help with IDS systems, and to move to the next generation of security.
ChekDizAut is an application design to allow organization's administrators to have distributed control of their employees attendance. ChekDizAut makes use of fingerprint recognition devices to identify every employee.