Child Security Enhancement System using Raspberry Pi and Amazon Elasticsearch Service
Anjo A N J1, Vinay M2
1Anjo A N J, BCA, Philomena’s College Mysore, Karnataka, India.
2Vinay M, Banglore, Karnataka, India.
Manuscript received on 10 April 2019 | Revised Manuscript received on 17 April 2019 | Manuscript Published on 26 July 2019 | PP: 956-960 | Volume-8 Issue-6S4 April 2019 | Retrieval Number: F11950486S419/19©BEIESP | DOI: 10.35940/ijitee.F1195.0486S419
Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: According to recent surveys child missing, child kidnapping cases are rapidly increasing in India [1]. Child’s safety in school buses and outside school premises is one of main concern for the parents today. The proposed system tries to provide security features to the children using new methodologies that are added to the existing safety system for better protection. The proposed system consists of portable unit, cloud system and android application. The portable unit consists of raspberry pi 2 model B, GPS receiver with antenna and pulse rate sensor. This unit will track the position of the child in the form of latitude longitude and altitude using GPS receiver and sense the pulse rate values using heart beat sensor. These data are sending to raspberry pi module which is then injected into elasticsearch with the help of internet connectivity. In cloud system elastic search which is served by amazon cloud service provides a URL which extracts the indexed values from the data injected by raspberry pi device. The android application in a user interface that shows the location of the child in map, path in which the child travelled and the speed in which child moves. The pulse rate of the child is also monitored in application real-time. The URL produced by the elasticsearch is used to retrieve values to the application.
Keywords: Raspberry Pi 2 Model B, GPS Rreceiver, Pulse rate Sensor, Elasticsearch, Amazon web Service.
Scope of the Article: Underwater Sensor Networks