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People Identification and Counting System Using Raspberry Pi

by Tussanai Parthornratt

Title:

People Identification and Counting System Using Raspberry Pi

Author(s):

Tussanai Parthornratt

Issued date:

2016-01

Citation:

International Conference on Electronics, Information, and Communications (ICEIC) 2016, Danang,Vietnam, 27-29 January 2016

Abstract:

The work in this paper focuses on an implementation of OpenCV in an embedded system like raspberry Pi to create a mini-standalone station for counting people. The key feature of AU-PiCC (Assumption University's raspberry Pi Customer counter) is to count a number of interested people on target product in a pre-defined area along with a simple face identification to avoid counting duplicates. The experimental results show that this raspberry Pi-based system can be used as a simple people counter station.

Keyword(s):

People counter
Customer counter
Human detection
Face detection
People counting
Identification
Raspberry Pi
OpenCV
Eigenfaces
Image processing
Computer vision
Image processing

Resource type:

Conference Paper

Extent:

5 pages

Type:

Text

File type:

application/pdf

Language:

eng

Rights holder(s):

Tussanai Parthornratt

URI:

http://repository.au.edu/handle/6623004553/21049
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  • Conference Papers [7]


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Copyright © Assumption University.
All Rights Reserved.

Contact Us

The St. Gabriel's Library   
Hua Mak Campus  
Ramkhamhaeng 24, Hua Mak  
Bangkok Thailand 10240  
Tel.: (662) 3004543-62 Ext. 3402  
Fax.: (662) 7191544  
E-Mail Library : library@au.edu  


The Cathedral of Learning Library
Suvarnabhumi Campus
Bang Na-Trad Km. 26 Bangsaothong
Samuthprakarn Thailand 10540
Tel.: (662) 7232024, 7232025
Fax.: (662) 7191544
E-Mail Library : library@au.edu
 

 

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