A REVIEW OF INDUSTRIAL AUTOMATION
Keywords:
IMAGE COMPRESSION MODULE, MULTIPLE CAMERAS, MATLABAbstract
A review of IOT used in home automation has been proposed here. IOT is a keen network of physical devices, buildings, vehicles and all other items. These are embedded with electronics, software, sensors, & network connectivity that enable these objects to collect & exchange data. There are several researches in the field of IOT in home automation. Some of them have been discussed here. This research would establishment the host automated application. Implementation of picture capturing module works from two different dimensions to boost the security. The size of captured frame sample would be reduced in order to save the storage space. Secondly any suspicious activity would be traced more quickly using edge detection mechanism during frame comparison in order to make system fast. Here the matrix of picture are captured and compared if the content is matched then there is no suspicious activity. Otherwise signals would be sent to physical Vault security on cloud.
References
Philip L. Worthington (2002) had proposed enhanced canny edge detection using curvature consistency.
Nas sir Salman (2006) had put forward a work in graphical picture segmentation based on watershed & edge detection method s.
Miroslav Galabov(2003) “Fractal picture Compression” , International Journal of Innovative Research in Computer and Communication Engineering Vol. 7, Issue 12, 2003.
John Kominek (2006) “Algorithm for Fast Fractal picture Compression” Electronic Journal of Information Systems Evaluation Volume 19 Issue 3 2006.
P. Raviraj and 2M.Y. Sanavullah(2007) “The Modified 2D-Haar Wavelet Transformation in picture Compression” Middle-East Journal of Scientific Research 2 (2): 73-78, 2007.
Dr.S.Vijayarani1, Mrs.M.Vinupriya(2013) “Performance Analysis of Canny and Sobel Edge detection Algorithms in picture Mining” International Journal of Innovative Research in Computerand Communication EngineeringVol. 1, Issue 8, October 2013.
Zolqemine Othman, habibollah haron, mohammed rafiq, abdul kadir, “Comparison of canny and Sobel edge detection in mri images”.
Mike heath, y sudeep sarkar, thomaz sanocki.z and kevin bowyery “Comparison of edge find ors a methodology and initial”, Study computer vision and picture understanding vol. 69, no. 1, january, pp. 38–54, 1998.
PratikChavada, Narendra Patel, KanuPatel (2014) “Region of Interest Based picture Compression” International Journal of Innovative Research in Computer and Communication Engineering Vol. 2, Issue 1, January 2014.
Ali Tariq Bhatti, Dr. Jung Kim(2015) Implementation of Lossless Huffman Coding: picture compression using K-Means algorithm and comparison vs. Random numbers and Messages.
MalwinderKaur(2015)A Literature Survey On Lossless picture Compression.
R. Sumalathaand M. V. Subramanyam (2015) “Hierarchical Lossless picture Compression for Telemedicine Applications” Procedia Computer Science 54 ( 2015 ).
Er. Kiran Bala, Varinderjit Kaur (2016), “Advance digital picture compression using fast wavelet transforms comparative analysis with DWT”, International Journal of Engineering Sciences & Research Technology Bala et al., 5(7): July, 2016.
Anurag, Sonia Rani(2017) “JPEG Compression Using MATLAB” 2017 IJEDR | Volume 5, Issue 2.
Dr. Vijaya Kumar C N, Kumar D(2017) “ Performance Analysis of picture Compression Using Discrete Wavelet Transform” International Journal of Advanced Research in Computer Science and Software Engineering Volume 7, Issue 3, March 2017.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2019 International Journal for Research Publication and Seminar
This work is licensed under a Creative Commons Attribution 4.0 International License.
Re-users must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. This license allows for redistribution, commercial and non-commercial, as long as the original work is properly credited.
