RFID-Cloud smart cart system

Berdaliyev, Yerlan; James, Alex Pappachen

doi:10.1109/icacci.2016.7732405

Cited by 28 publications

(12 citation statements)

References 7 publications

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“…The bill of the user is stored on a local database and a constant log of the purchases can be kept and analysed when needed along with detailed interfacing with peripheral devices such as Zigbee, LCD and a micro controller [6] [13]. Such Smart Billing systems allo ws users to add items in the cart and upload them in an online application that can be paid for using online wallets [8] [1]. Here, each user carries a membership card and swipes it on the sensor in the cart, allowing the shop items to be uploaded to the users account on the application and each Trolley contains an RFID scanner along with a Zigbee module.…”

Section: B Literature Surveymentioning

confidence: 99%

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

Gupte

Rege

Hawa

et al. 2020

2020 Second International Conference on Inventive Research in Computing Applications (ICIRCA)

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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 New technologies are introduced to replace outdated conventions where emphasis is put on the incorporation of Artificial Intelligence and Automation in our daily lives.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.

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Section: B Literature Surveymentioning

confidence: 99%

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

Gupte

Rege

Hawa

et al. 2020

2020 Second International Conference on Inventive Research in Computing Applications (ICIRCA)

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“…However, this is far from our approach where we try to recognise and understand customer behaviour on-line, to support them when queuing. An article by Berdaliyev and James [ 12 ] provides methods for queuing delays when using RFID systems. They also use a smart trolleys as an anti-theft system.…”

Section: Related Workmentioning

confidence: 99%

Sensor-Enabled Context-Aware and Pro-Active Queue Management Systems in Intelligent Environments

Klimek

2020

Sensors

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Queue systems are practically used in various institutions and commercial enterprises constituting a challenge for the intelligent environments in smart cities. The management of the flow of customers guarantees the elimination or reduction of the queues as well as the economic benefits which follow the clients’ satisfaction of a better quality of service. An intelligent queue management system has been proposed which is designed as the pro-active and context-aware ecosystem based on multiple low-level sensors and devices constituting the IoT (Internet of Things) network. The designed context-driven system is characterised by user friendliness, as well as the client behaviour recognition and understanding which generate actions that support clients, establishing wealthy environments. A prototype version of the system has been proposed which has been validated by formal analysis and simulation. This prototype can be used as a necessary experience and as a reference point when building a target system and meeting requirements typical for context-aware and pro-active systems based on IoT networks which process massive data streams.

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“…They have to spend a lot of time in search of products in the whole supermarket one by one and spend time in long queues to pay bills. The waiting in-queues is negatively affecting [22] on human morale and may cause misunderstandings or conflict amongst people, for instance, when someone breaks the line and stands in front of other people [23]. That is not an ideal development because traditional marketing promotes many local jobs, city life, and urban culture.…”

Section: Introductionmentioning

confidence: 99%

IoT-Based Smart Shopping Cart Using Radio Frequency Identification

et al. 2020

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The modern age of technology in which most of the customer needs to wait in the supermarket for shopping because it is a highly time-consuming process. A huge crowd in the supermarket at the time of discount offers or weekends makes trouble to wait in long queues because of a barcode-based billing process. In this regard, the Internet of Things (IoT) based Smart Shopping Cart is proposed which consists of Radio Frequency Identification (RFID) sensors, Arduino microcontroller, Bluetooth module, and Mobile application. RFID sensors depend on wireless communication. One part is the RFID tag attached to each product and the other is RFID reader that reads the product information efficiently. After this, each product information shows in the Mobile application. The customer easily manages the shopping list in Mobile application according to preferences. Then shopping information sends to the server wirelessly and automatically generates billing. This experimental prototype is designed to eliminate time-consuming shopping process and quality of services issues. The proposed system can easily be implemented and tested at a commercial scale under the real scenario in the future. That is why the proposed model is more competitive as compared to others.

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RFID-Cloud smart cart system

Cited by 28 publications

References 7 publications

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

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

Sensor-Enabled Context-Aware and Pro-Active Queue Management Systems in Intelligent Environments

IoT-Based Smart Shopping Cart Using Radio Frequency Identification

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