An Intelligent Following Sensor Shopping Cart
F S Samidi1, I S Mustafa2, N A M Radzi3
1F S Samidi, Institute of Power Engineering (IPE), Department of Electrical and Electronics Engineering, College of Engineering, Universiti Tenaga Nasional, Jalan IKRAM-UNITEN, 43000 Kajang, Selangor, Malaysia.
2I S Mustafa, Institute of Power Engineering (IPE), Department of Electrical and Electronics Engineering, College of Engineering, Universiti Tenaga Nasional, Jalan IKRAM-UNITEN, 43000 Kajang, Selangor, Malaysia.
3N A M Radzi, Institute of Power Engineering (IPE), Department of Electrical and Electronics Engineering, College of Engineering, Universiti Tenaga Nasional, Jalan IKRAM-UNITEN, 43000 Kajang, Selangor, Malaysia.
Manuscript received on November 12, 2019. | Revised Manuscript received on November 25, 2019. | Manuscript published on 30 November, 2019. | PP: 6249-6255 | Volume-8 Issue-4, November 2019. | Retrieval Number: D5103118419/2019©BEIESP | DOI: 10.35940/ijrte.D5103.118419
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: 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.
Keywords: Euclidean distance, Following sensor, Pixel.
Scope of the Article: Network Performance; Protocols; Sensors.