ResearchBib Share Your Research, Maximize Your Social Impacts
Sign for Notice Everyday Sign up >> Login

Implementation of an Adaptive Artificial Vision System Applied to Video Surveillance Tasks on Raspberry Pi

Journal: International Journal of Mechanical and Production Engineering Research and Development (IJMPERD ) (Vol.10, No. 3)

Publication Date:

Authors : ; ;

Page : 10895-10904

Keywords : Background Subtraction; Video Surveillance; Motion Detection; Artificial Vision & Image Processing;

Source : Downloadexternal Find it from : Google Scholarexternal


Video surveillance tools and systems are a fundamental part of our current society, even more so when there is constant growth both in the technological aspect and in the multiple needs linked to the development of intelligent cities and the various areas of the commercial and productive sectors of a country. This work proposes the implementation of an adaptive artificial vision system applied to video surveillance tasks, making use of a Raspberry PI development card and the OpenCV image processing libraries. The aim is to integrate an adaptive background subtraction algorithm based on the calculation of the median technique as a fundamental basis for the detection and tracking of objects, both in outdoor and indoor environments. The aim of the work is to present a scalable software tool that can be adapted to any type of domotic or IoT application, taking advantage of the multiple expansion possibilities that low-cost development cards such as Raspberry have.

Last modified: 2020-10-06 17:49:08