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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM58007
Volume:
10 |
3 |
Mar 2026
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Illegal hoardings and unauthorized advertisements have become a serious concern in modern cities, leading to visual pollution, safety hazards, and violations of government regulations. Traditional manual methods of identifying and removing such hoardings are inefficient and prone to errors. To address this challenge, this project introduces a Blockchain- and Database-based system for detecting, verifying, and managing illegal hoardings automatically. The proposed system integrates Artificial Intelligence (AI) for hoarding detection and uses Blockchain technology to securely store and verify data about legal and illegal advertisements. IoT-enabled cameras capture real-time images from public locations, which are analyzed by AI models to identify the presence of hoardings. The results are recorded in a blockchain ledger to ensure data immutability and transparency. A centralized database maintains records of authorized hoardings, allowing the system to cross-verify and detect any unauthorized installations. Once detected, alerts are automatically generated and sent to the municipal authorities through a secure web or mobile dashboard.This system ensures data integrity, security, and reliability while enabling real-time monitoring and rapid decision-making. By combining AI, blockchain, and database management, the solution supports smart city initiatives, reduces human intervention, and improves the overall efficiency of urban governance.
KEYWORDS
Publication Date
3/21/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
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