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http://dx.doi.org/10.9728/dcs.2018.19.2.393

Implementation of Integrated Platform of Face Recognition CCTV and Home IOT  

Ahn, Eun-Mo (Kangwon National University, IT College, Electronic Electronics Engineering)
Kim, Dong-Hoi (Kangwon National University, IT College, Electronic Electronics Engineering)
Publication Information
Journal of Digital Contents Society / v.19, no.2, 2018 , pp. 393-399 More about this Journal
Abstract
As the existing face recognition CCTV and home IOT have each individual hardware component, they have a disadvantage that the measured results of their sensors and the CCTV can not be viewed on one screen at a time. In order to overcome the above disadvantages of existing CCTV and home IOT, this paper proposes an integrated platform which constitutes the CCTV and home IOT as one hardware component using Raspberry Pi and shows each result on one screen through Smartphone application. The proposed integrated platform CCTV and home IOT system is a system which can run the application as a Smartphone and check the sensor value measured by Raspberry Pi and the picture taken through the Pi camera. The implemented system measures temperature, humidity, gas, and dust, and implements face recognition technology on a screen shot through a Pi camera, allowing it to be seen at a glance with a Smartphone.
Keywords
LoRa; Raspberry PI; Face Recognition; Pi Camera; CCTV; Home IOT Application;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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