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Telegram Bot Integration with Face Recognition as Smart Home Features

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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2018
Authors:
Ngurah Made Ardika, Nyoman Piarsa, Arya Sasmita
10.5120/ijca2018917778

Ngurah Made Ardika, Nyoman Piarsa and Arya Sasmita. Telegram Bot Integration with Face Recognition as Smart Home Features. International Journal of Computer Applications 182(13):42-47, September 2018. BibTeX

@article{10.5120/ijca2018917778,
	author = {Ngurah Made Ardika and Nyoman Piarsa and Arya Sasmita},
	title = {Telegram Bot Integration with Face Recognition as Smart Home Features},
	journal = {International Journal of Computer Applications},
	issue_date = {September 2018},
	volume = {182},
	number = {13},
	month = {Sep},
	year = {2018},
	issn = {0975-8887},
	pages = {42-47},
	numpages = {6},
	url = {http://www.ijcaonline.org/archives/volume182/number13/29925-2018917778},
	doi = {10.5120/ijca2018917778},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}
}

Abstract

The development of science is very rapid which makes us easier to do practical activity based on the emergence of tech-nology which is able to control electronic devices in the house from a distance which is called Smart Home. Facial detec-tion systems are also growing. The technology of controlling electronic devices using remote control is helpful in managing the electronic devices in order to control and monitor every human faces who entered the house. A system created to de-tect and recognize human faces is using a mini PC Raspberry Pi 3 with a camera module (webcam). Human face detection and recognition utilize a library in OpenCV, where it is used to detect, create databases and match new faces with data-bases. Face recognition will be a system user notification using the Telegram Bot app. Telegram Bot as remote control and receive notification from system. Out of 25 identification trials, the success rate or SR of face identification test was 84% and the False Accet Rate or FAR was 16%. Some important factors that influence the success rate of identifications are the position of the face and the intensity of the light during the process of making data train.

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Keywords

Smart Home, Face Recognition, Telegram Bot.