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Implementing Face Recognition on Ras...

Vemulapalli, Kanaka Sunanda.

Implementing Face Recognition on Raspberry Pi Using Kinect Camera.

Record Type:	Language materials, manuscript : Monograph/item
Title/Author:	Implementing Face Recognition on Raspberry Pi Using Kinect Camera./
Author:	Vemulapalli, Kanaka Sunanda.
Description:	1 online resource (52 pages)
Notes:	Source: Masters Abstracts International, Volume: 57-06.
Contained By:	Masters Abstracts International57-06(E).
Subject:	Electrical engineering. -
Online resource:	click for full text (PQDT)
ISBN:	9780438032873

Implementing Face Recognition on Raspberry Pi Using Kinect Camera.
Vemulapalli, Kanaka Sunanda.

Implementing Face Recognition on Raspberry Pi Using Kinect Camera. - 1 online resource (52 pages)

Source: Masters Abstracts International, Volume: 57-06.

Thesis (M.S.)--Northern Illinois University, 2018.

Includes bibliographical references

In this document, I'm going to discuss about the main objective of my thesis towards the partial fulfillment of MS requirement. This report presents my thesis work implementing Face recognition technique on Raspberry pi using Kinect Xbox 360 camera and IRobot. The aim of this project is to create a cost effective standalone face recognition system to use in search and rescue operations or in any hazardous areas. To achieve this, I am using raspberry pi as processor, Kinect camera to capture live feeds from the scene and Roomba to move around the location. Anyone can access this program with appropriate setup.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

ISBN: 9780438032873Subjects--Topical Terms:

596380
Electrical engineering.
Index Terms--Genre/Form:

554714
Electronic books.

Implementing Face Recognition on Raspberry Pi Using Kinect Camera.
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100 1 $a Vemulapalli, Kanaka Sunanda. $3 1192684
245 1 0 $a Implementing Face Recognition on Raspberry Pi Using Kinect Camera.
264 0 $c 2018
300 $a 1 online resource (52 pages)
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
500 $a Source: Masters Abstracts International, Volume: 57-06.
500 $a Adviser: Reza Hashemian.
502 $a Thesis (M.S.)--Northern Illinois University, 2018.
504 $a Includes bibliographical references
520 $a In this document, I'm going to discuss about the main objective of my thesis towards the partial fulfillment of MS requirement. This report presents my thesis work implementing Face recognition technique on Raspberry pi using Kinect Xbox 360 camera and IRobot. The aim of this project is to create a cost effective standalone face recognition system to use in search and rescue operations or in any hazardous areas. To achieve this, I am using raspberry pi as processor, Kinect camera to capture live feeds from the scene and Roomba to move around the location. Anyone can access this program with appropriate setup.
520 $a We will ask Roomba to find out a specific person in a room. By moving in a predefined path, Roomba will identify every person and stops in front of the person to verify he/she is the person specified. It will continue this until it identifies the required person and when it does, it will stop and says, "I found this person." This can be done in two steps: Face detection to locate the person and Face Recognition to recognize the person in a given frame.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2018
538 $a Mode of access: World Wide Web
650 4 $a Electrical engineering. $3 596380
655 7 $a Electronic books. $2 local $3 554714
690 $a 0544
710 2 $a ProQuest Information and Learning Co. $3 1178819
710 2 $a Northern Illinois University. $b Electrical Engineering. $3 1182942
773 0 $t Masters Abstracts International $g 57-06(E).
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10787993 $z click for full text (PQDT)

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