Cloud Based Face Recognition and Augmented Display of Google Glass using Hadoop

Authors

  • S. Karthik Assistant Professor (SG), Department of Computer Science (PG), Kristu Jayanti College (Autonomus), Bengaluru, Tamilnadu, India
  • P. K. Manoj Kumar Assistant Professor, School of Computational Intelligence, Joy University, Tamilnadu, India
  • T. Deepa Head and Associate Professor, Department of Computer Science, KPR College of Arts Science and Research, Tamilnadu, India
  • K. Sutha Assistant Professor, Department of Computer Science and Applications, Faculty of Science and Humanities, SRM Institute of Science and Technology, Ramapuram, Tamilnadu, India
  • D. Anandan Assistant Professor, Department of Information Technology, V.S.B. Engineering College, Tamilnadu, India

DOI:

https://doi.org/10.63278/1384

Keywords:

Face Recognition, Google Glass, Hadoop, Cloud Computing, Augmented reality.

Abstract

Face recognition applications can benefit from the cloud computing as they become widely available and easy to acquire today. There are numerous applications of face recognition in terms of security, assistance, guidance and so on. By performing the face recognition on cloud, we can greatly reduce the processing time and clients will not have to store the big data for the image verification on their local machine (cell phones, pc's etc). Cloud computing increases the processing power and storage with very less cost comparing to the cost of acquiring an equally strong server machine. In this research the plan is to enhance the user experience of augmented display wearing google glass, and for doing that, this system is being proposed in which a person wearing google glass will send an image of a person to cloud server powered by Hadoop (open-source software for reliable, scalable, distributed computing) cloud server will recognize the face from the database already present on server and then response to client device (google glass). Then google glass will display the face details in a form of augmented display to the person wearing them. By moving the face recognition process on cloud, the device will require less processing power, and by having the database on cloud server, multiple clients will no longer require to maintain their local database.

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How to Cite

S. Karthik, P. K. Manoj Kumar, T. Deepa, K. Sutha, and D. Anandan. 2025. “Cloud Based Face Recognition and Augmented Display of Google Glass Using Hadoop”. Metallurgical and Materials Engineering 31 (3):346-57. https://doi.org/10.63278/1384.

Issue

Vol. 31 No. 3 (2025)

Section

Research

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Copyright (c) 2025 S. Karthik, P. K. Manoj Kumar, T. Deepa, K. Sutha, D. Anandan

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