Open AccessSmart Electronic Switching (ON/OFF) System Based on Real-time Detection of Hand Location in the Video Frames
Author(s) -
Duaa A. Taban,
Ali A. Al-Zuky,
Shaymaa H. Kafi,
Anwar H. Al-Saleh,
Haidar J. Mohamad
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1963/1/012002
Subject(s) - computer science , computer vision , artificial intelligence , matlab , software , position (finance) , real time computing , response time , simulation , computer hardware , embedded system , computer graphics (images) , operating system , finance , economics
Human looking forward to living in a modern and comfortable environment like smart houses. In this study, an effective user-friendly smart home prototype designed with low cost. The prototype contains eight of Light Emitting Diode (LED) considered as home appliances and controlled in real-time using eight suggested hand cases. The hand cases have different position regarded to head and shoulder levels. The hand position is detected using a new suggested algorithm programmed in Matlab software. Viola-Jones method used to detect hand in a complex background (hand with a different background) by training computer using positive (hand) and negative (non-hand) image datasets. To make computer training faster and accurate, a new idea depends on a skin detection used before computer training to determine the location and size of all positive images automatically. The LEDs in prototype switched ON/OFF using the suggested hand cases in a fast time. Where the response time of LEDs to hand cases was 0.43 second.