Enhancement on stain detection for automatic handwashing audit vision system
Hand hygiene of the health care worker is critical to prevent infectious disease such as airborne diseases, nosocomial infections, and Hepatitis A among patients. Currently, the handwashing audit among hospital staffs are done manually by observation from an expert. There is a need for automation ea...
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| Format: | Conference or Workshop Item |
| Language: | English English |
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Springer Singapore
2019
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| Online Access: | http://umpir.ump.edu.my/id/eprint/25025/ http://umpir.ump.edu.my/id/eprint/25025/ http://umpir.ump.edu.my/id/eprint/25025/ http://umpir.ump.edu.my/id/eprint/25025/1/50.%20Enhancement%20on%20stain%20detection%20for%20automatic%20handwashing%20audit%20vision%20system.pdf http://umpir.ump.edu.my/id/eprint/25025/2/50.1%20Enhancement%20on%20stain%20detection%20for%20automatic%20handwashing%20audit%20vision%20system.pdf |
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ump-250252019-11-12T04:21:24Z http://umpir.ump.edu.my/id/eprint/25025/ Enhancement on stain detection for automatic handwashing audit vision system Faradila, Naim Muhammad Aizat, Romaino Rosyati, Hamid TK Electrical engineering. Electronics Nuclear engineering Hand hygiene of the health care worker is critical to prevent infectious disease such as airborne diseases, nosocomial infections, and Hepatitis A among patients. Currently, the handwashing audit among hospital staffs are done manually by observation from an expert. There is a need for automation ease the process and accuracy in detection using vision system. This paper focus on the enhancement of the established prototype and the detection system by the additional third template. The prototype is enhanced by size reduction, sturdier material and hands placement base. The vision system uses a robust threshold to detect the discolored stain with an enhancement on stain templates. The detection and recognition of palm in images is a key research topic that has attracted attention owing to an unveiling human perception mechanism. The system accuracy has increased by 40% from previous work by the enhancement which for three cases the system accurately detects stains on washed hands with Glogerm by 71% and unwashed hand with GloGerm by 81%. Springer Singapore 2019 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/25025/1/50.%20Enhancement%20on%20stain%20detection%20for%20automatic%20handwashing%20audit%20vision%20system.pdf pdf en http://umpir.ump.edu.my/id/eprint/25025/2/50.1%20Enhancement%20on%20stain%20detection%20for%20automatic%20handwashing%20audit%20vision%20system.pdf Faradila, Naim and Muhammad Aizat, Romaino and Rosyati, Hamid (2019) Enhancement on stain detection for automatic handwashing audit vision system. In: Proceedings of the 10th National Technical Seminar on Underwater System Technology 2018, 27-28 September 2018 , Universiti Malaysia Pahang. pp. 381-389., 538. ISBN 978-981-13-3708-6 https://doi.org/10.1007/978-981-13-3708-6_33 DOI: https://doi.org/10.1007/978-981-13-3708-6_33 |
| repository_type |
Digital Repository |
| institution_category |
Local University |
| institution |
Universiti Malaysia Pahang |
| building |
UMP Institutional Repository |
| collection |
Online Access |
| language |
English English |
| topic |
TK Electrical engineering. Electronics Nuclear engineering |
| spellingShingle |
TK Electrical engineering. Electronics Nuclear engineering Faradila, Naim Muhammad Aizat, Romaino Rosyati, Hamid Enhancement on stain detection for automatic handwashing audit vision system |
| description |
Hand hygiene of the health care worker is critical to prevent infectious disease such as airborne diseases, nosocomial infections, and Hepatitis A among patients. Currently, the handwashing audit among hospital staffs are done manually by observation from an expert. There is a need for automation ease the process and accuracy in detection using vision system. This paper focus on the enhancement of the established prototype and the detection system by the additional third template. The prototype is enhanced by size reduction, sturdier material and hands placement base. The vision system uses a robust threshold to detect the discolored stain with an enhancement on stain templates. The detection and recognition of palm in images is a key research topic that has attracted attention owing to an unveiling human perception mechanism. The system accuracy has increased by 40% from previous work by the enhancement which for three cases the system accurately detects stains on washed hands with Glogerm by 71% and unwashed hand with GloGerm by 81%. |
| format |
Conference or Workshop Item |
| author |
Faradila, Naim Muhammad Aizat, Romaino Rosyati, Hamid |
| author_facet |
Faradila, Naim Muhammad Aizat, Romaino Rosyati, Hamid |
| author_sort |
Faradila, Naim |
| title |
Enhancement on stain detection for automatic handwashing audit vision system |
| title_short |
Enhancement on stain detection for automatic handwashing audit vision system |
| title_full |
Enhancement on stain detection for automatic handwashing audit vision system |
| title_fullStr |
Enhancement on stain detection for automatic handwashing audit vision system |
| title_full_unstemmed |
Enhancement on stain detection for automatic handwashing audit vision system |
| title_sort |
enhancement on stain detection for automatic handwashing audit vision system |
| publisher |
Springer Singapore |
| publishDate |
2019 |
| url |
http://umpir.ump.edu.my/id/eprint/25025/ http://umpir.ump.edu.my/id/eprint/25025/ http://umpir.ump.edu.my/id/eprint/25025/ http://umpir.ump.edu.my/id/eprint/25025/1/50.%20Enhancement%20on%20stain%20detection%20for%20automatic%20handwashing%20audit%20vision%20system.pdf http://umpir.ump.edu.my/id/eprint/25025/2/50.1%20Enhancement%20on%20stain%20detection%20for%20automatic%20handwashing%20audit%20vision%20system.pdf |
| first_indexed |
2023-09-18T22:38:13Z |
| last_indexed |
2023-09-18T22:38:13Z |
| _version_ |
1777416738461188096 |