Automated Shopping Cart Using RFID with a Collaborative Clustering Driven Recommendation System

Abstract

Recent advancements in technology have seen a significant reduction in human intervention. New technologies are introduced to replace outdated conventions where emphasis is put on the incorporation of Artificial Intelligence and Automation in our daily lives. With the current COVID-19 pandemic, reducing human interaction in everyday acti ons has now been deemed necessary. One of the most important sectors affected, the shopping industry, needs to adapt to meet government and social security standards. This paper addresses a S mart S hopping Cart S ystem where the entire shopping experience is automated and handled by the customer. It details a more efficient online mode of shopping which not only reduces the need for hands-on staff but also provides specialized recommendations to users using collaborative clustering to update the shopping experience and meet the demands of our time. The current shopping system has many limitations, and introduction of Radio-frequency identification (RFID) technology as the core identification mechanism can prove useful for applications such as security, safety and inventory management.

Internet of things and radio frequency identification based embedded system to reduce shopping time in supermarkets

“…However, the operating response is very slow and the LCD display does not generate a good interface for the customer. On the other hand, a Raspberry Pi-based system was developed also based on RFID, IoT, and LCD interface, but adding a camera oriented to detect a customer's tag and follow its movement by driving motors attached to its tires [1], [3] and Wi-Fi communication [21]. Although, Raspberry Pi is oriented to develop systems that require high processing power by having a microprocessor, this system can be developed with a low-cost microcontroller and obtain the same results.…”

“…In addition, the tools used for wireless data transfer in the proposed systems involve an important technological aspect. On the one hand, some researches use IoT technology, accessing them through the cloud [2], [5], [6], [8], [15], [16], [18], [19], [21]- [23]. On the other hand, other researchers chose to use transmitter modules such as global systems for mobile communications (GSM) [17], network modules using XBee/ZigBee communication protocol [7]- [9], [20], and nRF24 model wireless transceivers [1], [24].…”