Face Recognition with OPENCV and Smart Shopping in Cloud Computing
Katherashala Ajay Kumar1, G. R. Sakthidharan2

1Katherashala Ajay Kumar*, PG Scholar, M. Tech, Department of Computer Science and Engineering, GRIET,  Affiliated to JNTUH, Hyderabad, India.
2Dr. G.R. Sakthidharan, Professor of CSE, GRIET, Affiliated to JNTUH, Hyderabad, India.
Manuscript received on September 17, 2019. | Revised Manuscript received on October 20, 2019. | Manuscript published on October 30, 2019. | PP: 4078-4082 | Volume-9 Issue-1, October 2019 | Retrieval Number: A1324109119/2019©BEIESP | DOI: 10.35940/ijeat.A1324.109119
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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: The present data time targets digitizing data and executing effective, instinctive and easy to understand frameworks to unravel human life. Making a canny truck that deals with quick charging is a jump towards an advanced and totally computerized shopping knowledge. Buying thing in enormous supermarkets with a gigantic assortment of things is time taking procedure. It can be optimized through motorizing the charging framework. A shopping truck contains a versatile computational gadget (like raspberry pi) and a customized thing recognizable proof innovation (like the radio recurrence distinguishing proof innovation). Minute charging without long lines at counters and monitoring consumption constant are the two goals of this canny truck. This paper depends on building up a venture through the intend to lessen point in time used up on shopping of regular things and make the procedure less repetitive. Besides, it empowers the customers to use their point in time on other gainful and increasingly huge exercises.
Keywords: Digitizing, Raspberry Pi, RFID, Smart Cart.