• Reuben Pinto
• Aisha Fernandes

Businesses these days have moved to an online segment, but a few of them still offer to keep stores where the customer can have a more personal touch and judge for themselves what it is that they are spending their money on. Getting all the items in the shopping cart is all well and good but when it comes time to checkout the efficiency of the process is something that can make or break a business in terms of retaining a customer. The most cost effective method used is to use barcodes and scan them individually at checkout. To improve on efficiency an idea is proposed to use machine learning models for object recognition and backup the product count with radio frequency identification technology. The concept attempts to make use of system on chip devices to minimize size and cost of the system.

Machine Learning, IoT, RFID, Retail Checkout, YOLOv3

"IoT based Quick Retail Checkout using Machine Learning and RFID Technology", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 8, page no.b919-b923, August-2021, Available :http://www.jetir.org/papers/JETIR2108243.pdf

"IoT based Quick Retail Checkout using Machine Learning and RFID Technology", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 8, page no. ppb919-b923, August-2021, Available at : http://www.jetir.org/papers/JETIR2108243.pdf