IoT based Smart Home automation with security surveillance
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2016, Vol 4, Issue 12
Abstract
The home automation systems have seen large scale transformation in recent years, beginning from panic switches to send fixed messages to specified recipients during emergency, remote controlled switches for machines, systems based on GSM networked devices to comprehensive home server for monitoring and control of domestic environment. The proposed system is an Internet of Things (popularly known as IoT) based home automation and security system which aims to develop a reliable system to provide a reliable solution for the home automation.
Authors and Affiliations
B. K. Venugopal, Abdul Khadar Pattewale
Keywords
Related Articles
- EP ID EP22981
- DOI -
- Views 240
- Downloads 4
Spontaneous Fan Speed Control System using Arduino
As we all know that we are slowly moving toward automation and Automation is one of the trending topics. So basically in this project we will be basically controlling fan speed with respect to the temperature. The syste...
Brief Review of De Duplication over Cloud for Optimizing Storage
Cloud storage is one of the services provide in cloud computing which has been increasing in reputation. With the growing data size of cloud computing, a decrease in data volumes could help provider reducing the costs o...
Design of Pseudorandom Pattern Generator for MIHST
The paper describes a system generator which produces Pseudo random sequence with user defined toggling range. The patterns were generated using PRPG; Detection of errors is done using Microprocessor Hardware Self Test...
To Study the Variation in Compressive and Split Tensile Strength of Concrete by Using Various Binders
This paper accentuates the effect of bentonite, sugarcane molasses, jaggery and polyvinyl acetate on strength properties of concrete. The experimentation has been carried out to assess the strength properties of concret...
Prediction of Photocatalytic Decolorization Acid Red 14 Dye in Aqueous Solutions by UV/NanoTiO2 using Artificial Neural Network Model
An artificial neural network model was developed to predict the photocatalytic decolorization of azo dye Acid Red 14 (AR14) in water by a combination of UV/NanoTiO2 system. The initial concentrations of dye, catalyst do...