FACE RECOGNITION FOR EDUCATION IN THE CLOUD
FACE RECOGNITION FOR EDUCATION IN THE CLOUD

Summary/Abstract: Over the last decade, face recognition has become a popular area of research and with the cloud computing paradigm gaining more and more ground, thus ensuring the resources needed for real-time image/video analysis, new and more powerful face detection algorithms have been developed. Face recognition has a wide spectrum of applicability such as: access control, identification systems, surveillance or monitoring group emotions and combined with real-time and cloud-computing paradigms has led to the development of various successful systems used by important entities (SmartGate – Australian Customs Services, Next Generation Identification –FBI, Visidon Applock – Android ). The main advantage of the face recognition is that it is a non-contact process thus, it is able to offer a wide rage of information about a subject or group of subjects without requiring explicit actions from the target except the presence. The paper presents the face recognition for educational purpose, with the challenges and opportunities of cloud computing. The perspective of usability is more on intelligent testing based on real-time communications, with thin clients and face display embedded in usual browsers but with strong data analytics in the cloud, for authentication or classification.

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