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The transition from conventional paper-based and static LED notice boards to dynamic, networked digital display solutions
represents a critical modernization in institutional and public communication. This review paper synthesizes various
contemporary approaches to digital display implementation, ranging from highly specialized microcontroller-based systems to
scalable, web-native Internet of Things (IoT) architectures. Early prototypes utilizing GSM and basic microcontrollers (such as
Arduino UNO, AT89S52, and NodeMCU) frequently face limitations concerning scalability, character capacity, multimedia
support, and security. Conversely, advanced implementations leverage platforms like Raspberry Pi 4 in kiosk mode, coupled
with robust cloud backends (Node.js/Express.js, MongoDB Atlas, Supabase), facilitating real-time content delivery via
Socket.io. We analyze a unique reciprocal advertising model that employs Contribution Points (CP) and QR codes to solve
advertising cost and fixed consumer group problems for microenterprises. Furthermore, this review details the technical
specifications, system architecture, comparative advantages, and essential security features—including JWT authentication and
Role-Based Access Control (RBAC)—required for developing resilient, multi-screen digital signage. Finally, we present key
experimental results, including System Usability Scale (SUS) scores and network performance metrics, highlighting the efficacy
and identified limitations across different architectural paradigms.
Keywords:
Next Gen Digital Noticeboard; Digital Notice Board; IoT; Raspberry Pi; Real-time Communication; Web Application; Advertising; QR code; System Usability Scale.
Cite Article:
"Next-Gen Digital Noticeboard with IOT Updates", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 10, page no.b286-b294, October-2025, Available :http://www.ijrti.org/papers/IJRTI2510135.pdf
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ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator