This paper presents the design and implementation of an intelligent Dynamic electronic billboard based on QR-Code (Quick Response Code) that can be used in a variety of interior locations such as offices, malls, universities, supermarkets, and other similar establishments. A screen display, a sensor such as a PIR motion sensor, and a QR-Code reader are all included in the system. Once scanned, the QR-Code should provide rapid access to information. While the motion sensor detects a nearby person and instructs the system to display the QR-Code on the billboard for the person to scan, the display device continues to display the company's products or announcements. The QR-Code contains Uniform Resource Locators (URLs) in our prototype, and once scanned, a user follows the link and begins exploring what he or she needs to see on a display device based on what the companies sell or communicate with the general public. As a result, the system allows users to interact with it by allowing them to search for what they need using QR-Codes. The Raspberry Pi houses the sensors and display device, allowing the system to relay sensory data to a web server using the HTTP (Hypertext Transfer Protocol) protocol. Because of its low cost, efficiency, and ease of use, the designed system is beneficial.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.