FaceKeeper - Privacy-Aware Distributed Computation of Family Photo Collections

Vachher, Prateek
2018-04
Thumbnail Image

View/Download File

FaceKeeper - Poster.pdf (16.65 MB)

Persistent link to this item

https://hdl.handle.net/11299/195702
Statistics
View Statistics

Journal Title

Journal ISSN

Volume Title

Title

FaceKeeper - Privacy-Aware Distributed Computation of Family Photo Collections

Authors

Published Date

2018-04

Publisher

Type

Presentation

Abstract

Family photos are personal, private information. There is a need for alternative storage models for secure, private (offline) media archiving & curation. Server-Client relations are now changing from centralized form of network to distributed and decentralized network. The centralized network model provides all of the privacy control of users to the host of the network. The research objective of the project was to design a novel system for family photo collection analysis by leveraging local home networking, reducing dependence on cloud services prioritizing privacy and maximizing sustainability through device reuse (IOT). The outcomes and deliverables of the research included: A robust face clustering algorithm written in Python, with documentation available for open source use on GitHub. Reverse Image Search on Photo Collection feature was built complementing the research. The delivered software supports device re-use by supporting single-board computers such as Raspberry Pi.

Keywords

Description

Related to

Replaces

License

Collections

UMTC Undergraduate Research Presentations and Papers (UROP)

Series/Report Number

Funding information

This research was supported by the Undergraduate Research Opportunities Program (UROP).

Isbn identifier

Doi identifier

Previously Published Citation

Suggested citation

Vachher, Prateek. (2018). FaceKeeper - Privacy-Aware Distributed Computation of Family Photo Collections. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/195702.

Content distributed via the University Digital Conservancy may be subject to additional license and use restrictions applied by the depositor. By using these files, users agree to the Terms of Use. Materials in the UDC may contain content that is disturbing and/or harmful. For more information, please see our statement on harmful content in digital repositories.