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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM58007

Illegal Hoarding Detection and Alert Raising

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM58007

Volume:

10 |

3 |

Mar 2026

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
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Not assigned

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.

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Authors

RPK

R. P. Kumawat1

YG

Yash Gaikwad2

AD

Aditya Dhokchaule3

NM

Nirbhay Mate4

DK

Dhananjay Kadu5

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Full Articles

Abstract

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

Blockchain Database Management Artificial Intelligence Illegal Hoarding Detection IoT Smart City Alert Generation

Cite This Article

R. P. Kumawat1, Yash Gaikwad2, Aditya Dhokchaule3, Nirbhay Mate4, Dhananjay Kadu5, "Illegal Hoarding Detection and Alert Raising," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 3, Mar 2026.

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Publication Date

3/21/2026

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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