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DC Field | Value | Language |
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dc.contributor.author | Kachhia, Sunny | - |
dc.date.accessioned | 2015-09-22T12:02:10Z | - |
dc.date.available | 2015-09-22T12:02:10Z | - |
dc.date.issued | 2015-06-01 | - |
dc.identifier.uri | http://hdl.handle.net/123456789/6196 | - |
dc.description.abstract | The objective of the project is to develop an application that can be used in orga- nizations, hospitals and educational institutions to keep record of daily attendances of people. Another advantage is that face recognition works well for both: images of single person or a group. There are three major components in this project: 1.Client Applica- tion (Desktop and Mobile to capture/upload images), 2.Server (Cloud where actual face detection/recognition algorithms reside) and 3.Web interface (to display result statuses). There is no need for any external hardware installation. Only a device with a camera (laptop with webcam, pc with webcam, smart phone) is required for capturing/uploading images to server. | en_US |
dc.publisher | Institute of Technology | en_US |
dc.relation.ispartofseries | 13MCEC06; | - |
dc.subject | Computer 2013 | en_US |
dc.subject | Project Report 2013 | en_US |
dc.subject | Computer Project Report | en_US |
dc.subject | Project Report | en_US |
dc.subject | 13MCE | en_US |
dc.subject | 13MCEC | en_US |
dc.subject | 13MCEC06 | en_US |
dc.title | Applications Of Mobile Visual Identification | en_US |
dc.type | Dissertation | en_US |
Appears in Collections: | Dissertation, CE |
Files in This Item:
File | Description | Size | Format | |
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13MCEC06.pdf | 13MCEC06 | 1.77 MB | Adobe PDF | ![]() View/Open |
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