Open AccessAn Intelligent Following Sensor Shopping Cart
Author(s) -
Faris Syahmi Samidi,
Iskandar Shahrim Mustafa,
Nurul Asyikin Mohamed Radzi
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.d5103.118419
Subject(s) - rgb color model , cart , computer science , artificial intelligence , noise (video) , limit (mathematics) , position (finance) , computer vision , color space , matlab , reliability (semiconductor) , simulation , mathematics , engineering , mechanical engineering , image (mathematics) , physics , mathematical analysis , finance , economics , operating system , power (physics) , quantum mechanics
Conventional trolley needs to be pushed physically around the building. When more items are placed in the trolley, the trolley becomes heavier and harder to navigate. In order to solve this problem, this paper proposes a modification made to the conventional trolley and discusses the viability of using color as the automatic following mechanism on the shopping cart. Two tests are conducted to investigate the performance of the intelligent shopping cart. The first test is to find the most suitable color whereas the second test is to evaluate the reliability of color to be used as the following mechanism. The assessment of results utilized Euclidean distance equation and Matlab/Simulink. The results shows that the Red Green Blue (RGB) pixel value of the chosen colors are changing as the trolley moves around the building because of the lighting position and intensity around the building. The color detection apps is able to endure a limit of 18.03% of color difference from the original selected color before it loses the reference. The utilization of only color as following mechanism has a high tendency to be disrupted by noise because of an adjustment in light intensity and lighting position.