Manuscript Number : CSEIT184631

Video Processing on an ARM Based Embedded System

Authors(2) :-Sankar Dasiga, Ashwini D S

One of the many applications of embedded systems is remote image/video acquisition for surveillance purposes. In the recent times, ARM processor and LINUX OS have become more popular in the embedded space with the availability of a number of libraries. In this paper OpenCV library and two cameras interfaced to an ARM development board are used for implementing the surveillance system. Video from more than one camera will provide better information for applications such as intrusion detection. ARM cortex-A8 processor based Beagleboard-xM with interfaces such as USB, DVI-D, S-Video, Ethernet, HDMI, LED and so on, is an ideal platform for low power embedded application development. Angstrom Linux distribution has the necessary device driver are supported by a flexible GNU cross compilation tool chain for application development. The environment supports both C and C++ programming. The primary objective of the paper is to display the processed video on the graphics display .The ARM based embedded system was interface with two cameras for video capturing. Video frames were capture at 10 frames/ second instead of 30 frames/second to conserve memory on the embedded system.

Authors and Affiliations

Sankar Dasiga
E&CE Department, VTU University/ NMIT Institute/ Bengaluru, Karnataka, India
Ashwini D S
E&CE Department, VTU University/ NMIT Institute/ Bengaluru, Karnataka, India

OpenCV, ARM, BeagleBoard-xM, USB, DVI-D, LINUX, S-Video, HDMI, LED, DM3730, DSP, OMAP3530, MLL

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Publication Details

Published in : Volume 4 | Issue 6 | May-June 2018
Date of Publication : 2018-05-08
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 156-161
Manuscript Number : CSEIT184631
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Sankar Dasiga, Ashwini D S, "Video Processing on an ARM Based Embedded System", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 4, Issue 6, pp.156-161, May-June-2018.
Journal URL : http://ijsrcseit.com/CSEIT184631

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