Design of College Canteen Ordering System Based on Cortex-A9 and Android

Hongyu, Ding; Lin, Lizong; Dixin, Qian; Ouyang, Baibing

doi:10.1109/iwecai50956.2020.00043

Cited by 2 publications

(1 citation statement)

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“…1. D. Hongyu, L. Lizong, Q. Dixin and O. Baibing, [1] "Design of College Canteen Ordering System Based on Cortex-A9 and Android," 2020 International Workshop on Electronic Communication and Artificial Intelligence (IWECAI), 2020, pp. This paper describes a system that can accept orders at the counter and via an internet application and show them on kitchen monitors.…”

Section: Iiliterature Surveymentioning

confidence: 99%

Smart Canteen Management System

A¹,

Indhumathi²,

Harini³

2023

IJSREM

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The introduction of the Internet enables financial transactions through digital payments, supporting the vision of a cashless society. The appearance of the corona virus (COVID-19) had a significant impact on how we handled currency in the past and marked a turning point in the shift from cash to contactless digital payments. By enabling devices to provide goods and services without requiring human involvement, Internet of Things (IoT) technology also advances digital payments. This study presented an Internet of Things (IoT)-enabled cashless vending machine that combines cloud computing and payment gateway for placing orders and making purchases via mobile applications. The system enables a pre-installed mobile application to scan a Quick Response (QR) code attached to a vending machine's body, opens a web-based virtual machine through the code, enables users to select and order items from the virtual vending, initiates and authorizes a digital payment through an IoT gateway installed inside the physical vending machine by connecting users' and vendors' financial entities, and then disburses the purchased goods. It uses an ATmega 2560 Microcontroller, a Esp8266 Wi-Fi module, mobile application software, and payment gateway API to run on the Arduino platform. After 150 consecutive API test calls, the system selected a product with an average response time of 14500 milliseconds. This outcome demonstrates a successful time for enhancing customer purchasing experiences with digital payment systems and an adaptable and reasonably priced intelligent vending machine based on the Internet of Things to be introduced for mass production. Key Words: smart canteen, ordering system, blynk, android phone, vending machine,

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Section: Iiliterature Surveymentioning

confidence: 99%