2014 2nd International Conference on Emerging Technology Trends in Electronics, Communication and Networking 2014
DOI: 10.1109/et2ecn.2014.7044989
|View full text |Cite
|
Sign up to set email alerts
|

An intelligent cloud based cost effective surveillance robot

Abstract: An intelligent cost effective surveillance robot which can be controlled from anywhere in the world through internet and also through Wi-Fi (Local Area Network), both types of connections is provided with the ease of use for the user. In this paper the robot on board consists of a Camera for live streaming, a GPS module to get the position of the robot and also to send the robot to a particular position, it also consists of many sensors for the environment monitoring purposes. The robot also supports voice com… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2016
2016
2022
2022

Publication Types

Select...
2
1

Relationship

0
3

Authors

Journals

citations
Cited by 3 publications
(1 citation statement)
references
References 2 publications
0
1
0
Order By: Relevance
“…With the goal of applying a network-based robot system in remote monitoring, Sundaram et al employed a standard communication protocol and a human-machine interface to directly control the robot architecture through a network and Int J Rob & Autom ISSN: 2089-4856  acquire visual feedback [7]. Chirag et al devised a robot with a video camera, a global positioning system, and a sensor installed for live streaming, voice control, and snapshots; the data and images acquired were stored on cloud servers for registered users to view [8]. Bokade et al developed an Android-based application, which featured an MJPG streamer window for video streaming and buttons for controlling robots and cameras; a Raspberry Pi board was applied to control robots through commands [9].…”
Section: Introductionmentioning
confidence: 99%
“…With the goal of applying a network-based robot system in remote monitoring, Sundaram et al employed a standard communication protocol and a human-machine interface to directly control the robot architecture through a network and Int J Rob & Autom ISSN: 2089-4856  acquire visual feedback [7]. Chirag et al devised a robot with a video camera, a global positioning system, and a sensor installed for live streaming, voice control, and snapshots; the data and images acquired were stored on cloud servers for registered users to view [8]. Bokade et al developed an Android-based application, which featured an MJPG streamer window for video streaming and buttons for controlling robots and cameras; a Raspberry Pi board was applied to control robots through commands [9].…”
Section: Introductionmentioning
confidence: 99%