Accessible Smart Home System for the Deaf and Hard of Hearing using PiCam

Authors(2) :-N. Sudharshan Kumar, K. Sankara

Deaf and individuals with hearing impedance confront ordinary difficulties in distinguishing the event of family unit sounds like door bell, tyke crying or telephone ringing. The target of this paper is to outline and actualize a minimal effort remain solitary device for deaf individuals to inform doorbell ringing who live alone in their home. The framework depends on Raspberry pi which incorporates camera, vibrator, wireless GSM and Bluetooth. At the point when the visitor presses the doorbell, caught image is exchanged to the wearable device which knows the perfect individual at the entryway or gatecrasher. In the wake of exchanging image, wearable device vibrates to tell. Additionally, the message is sent to the proprietor through GSM. Visitor's image alongside the date and time is sent to the server for retrieving data later. The framework is dependable, powerful, and simple to utilize and furthermore upgrades the security of the client.

Authors and Affiliations

N. Sudharshan Kumar
MCA Student,Department of MCA, Sree Vidyanikethan Institute of Management, Sri Venkateswara University, Tirupati, Andhra Pradesh, India
K. Sankara
Assistant Professor Department of MCA, Sree Vidyanikethan Institute of Management, Tirupati, Andhra Pradesh, India

Alert System, Server,Bluetooth, Raspberry Pi Camera, Global System for Mobile Communication(GSM), Vibrator, TFT.

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Publication Details

Published in : Volume 3 | Issue 4 | March-April 2018
Date of Publication : 2018-04-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) :
Manuscript Number : CSEIT1833249
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

N. Sudharshan Kumar, K. Sankara, "Accessible Smart Home System for the Deaf and Hard of Hearing using PiCam", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 4, pp., March-April-2018.
Journal URL : http://ijsrcseit.com/CSEIT1833249

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