This paper is published in Volume-4, Issue-5, 2018
Area
IOT, Machine Learning
Author
Vijay Balaji, Hani Saravanan, Srivarshini Srinivasan
Org/Univ
SRM Institute of Science and Technology, Chennai, Tamil Nadu, India
Pub. Date
15 October, 2018
Paper ID
V4I5-1405
Publisher
Keywords
Owntracks, MQTT cloud, Node red, Google firebase, Servo motor, Paho python

Citationsacebook

IEEE
Vijay Balaji, Hani Saravanan, Srivarshini Srinivasan. Smart location clock, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Vijay Balaji, Hani Saravanan, Srivarshini Srinivasan (2018). Smart location clock. International Journal of Advance Research, Ideas and Innovations in Technology, 4(5) www.IJARIIT.com.

MLA
Vijay Balaji, Hani Saravanan, Srivarshini Srinivasan. "Smart location clock." International Journal of Advance Research, Ideas and Innovations in Technology 4.5 (2018). www.IJARIIT.com.

Abstract

In this project, we have engineered a way to reconstruct the traditional location tracking software into a smart location clock. The location clock paves the way for an uncomplicated technique for location tracking. Using our system, users can trail the movements of any person or their family members who are connected to the clock. The project enables the trailing of people to their most frequently visited places. The clock embodies a symbolic representation of the frequently visited places of members in the family or the person in the place of numbers and each hand of the clock is designated to each person or family member. When a change in location is posted, the hand of the corresponding member shifts accordingly. This model or project is implemented with the help of a mobile application-”Owntracks”, CloudMQTT, GoogleFire base, Raspberry pi 3 B, Paho Python , Node Red, and a servo motor to shift the hands of the clock. This model can be used for vast applications.