Design of automatic mobile trolley using ultrasonic sensors

Suryanto, Eka Dodi; Siagian, Hendrik; Perangin-Angin, Despaleri; Sashanti, Rahayu; Yogen, Suthes

doi:10.1088/1742-6596/1007/1/012058

Cited by 5 publications

(4 citation statements)

References 10 publications

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“…A lot of energy is needed when shopping. A lot of goods in the shopping cart would be pushed or pulled, so the customers will limit the activity of the hand [2]. When the customer focuses on pushing the trolley, buyers often miss plenty of products that are sold in the supermarket and will only buy important [3].…”

Section: Introductionmentioning

confidence: 99%

“…When the customer focuses on pushing the trolley, buyers often miss plenty of products that are sold in the supermarket and will only buy important [3]. Technology provides retailers with an opportunity to improve services and provide customers with rapid participation and personalized response services [4]. In order to provide the best service, a trolley was needed that could automatically follow the human movement [5].…”

Section: Introductionmentioning

confidence: 99%

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Development of Intelligent Shopping Cart using Pixy Sensor with Arduino Controller

Nouman,

Keyani,

Ullah

et al. 2023

ICCAR

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Supermarkets have virtually reached the pinnacle of technical development. People buy variousthings from supermarkets and place them on a trolley since this is the most convenient way to transportgoods in supermarkets. Customers, on the other hand, must actively push the enormous weight of thetrolley during the whole buying procedure. We introduce a novel concept "Intelligent Shopping Cart" inthis research. Customers may enjoy their shopping experience and focus more on their shopping list byusing this trolley instead of pushing a shopping cart. It will follow the customer throughout the shoppingperiod leaving a certain distance. If the customer stops then the trolley will also stop at maintaineddistance by using sharp IR sensor.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Development of Intelligent Shopping Cart using Pixy Sensor with Arduino Controller

Nouman,

Keyani,

Ullah

et al. 2023

ICCAR

View full text Add to dashboard Cite

show abstract

“…Authors in [4]- [6] used ultrasonic sensors to detect obstacles and to track customers. They used Arduino integrated development environment (IDE) to drive a system of motors to provide autonomous mobility to the cart.…”

Section: Introductionmentioning

confidence: 99%

“…Their use of ultrasonic sensors may be similar to other use-cases found in [18], [19]. However, their designs in [4]- [6] are typically unable to differentiate actual users from other stray carts that infiltrate the range of the ultrasonic sensor. A mobile following robot capable of avoiding obstacles, while tracking user was developed in [7].…”

Section: Introductionmentioning

confidence: 99%

A new automated smart cart system for modern shopping centres

et al. 2021

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Modern shopping centres are undoubtedly a beehive of intense shopping activities. However, customers are often plagued by salient challenges, which may include fatigue derived from pushing trolleys around the mall and prolonged sorting of bills by the cashier. These shopping challenges could be daunting for the elderly, disabled, pregnant and nursing mothers. In this paper, we addressed these shopping challenges by developing an autonomous shopping cart with the following characteristics; (1) it follows the customer’s movement relieving the need to push a cart, (2) it bills automatically all stock placed in the cart, (3) it prompts the customer to make payment and updates each stock via a local database. Our design adopts a Raspberry Pi, a camera and a few direct current motors programmed to achieve autonomy. We used an open-source cross platform software called XAMPP to create the database and used RFID tags to bill the items placed in the cart automatically. The system updates payments and communicates these transactions to a local database via nRF24 wireless transceivers. The experimental tests conducted demonstrate that our system successfully followed customers accurately within the mall. We consider our design a major contribution to the vision of automated shopping systems for the near future.

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