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 |
Files in this item (EXCERPT) |
|
View Conference-Paper-Abstract-21049.pdf ( 308.25 KB ) |
This item appears in the following Collection(s) |
|