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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM58776
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.
The traditional Fire No Objection Certificate (NOC) inspection process is largely manual, time-consuming, and prone to errors and data manipulation, which can compromise public safety. This paper presents SmartInspect AI, an intelligent and secure inspection system that leverages Artificial Intelligence and sensor-based validation to modernize fire safety compliance. The proposed system integrates geo-tagging, timestamp verification, barometric floor detection, perceptual image hashing, and audio-based fire alarm verification to ensure authenticity and reliability of inspection data. A mobile application enables field officers to capture real-time evidence, while a centralized backend processes and stores the data securely, and an administrative dashboard facilitates efficient monitoring and decision-making. By introducing tamper-proof data collection and multi-layered verification, the system enhances transparency, reduces fraud, and accelerates the NOC approval process. The solution is scalable, cost-effective, and aligned with smart governance initiatives such as Digital India, making it a practical approach for improving fire safety inspection systems. A mobile application is used by field officers to capture real-time inspection data, while a centralized backend processes and stores the information securely. Additionally, an administrative dashboard enables authorities to review structured data and make informed decisions efficiently by introducing tamper-proof data collection and AI-assisted validation, the proposed system reduces fraud, enhances accountability, and accelerates the NOC approval process. The solution is scalable, cost-effective, and aligned with smart governance initiatives such as Digital India and Smart Cities.
KEYWORDS
Publication Date
6/2/2026
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.
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No funding information available for this research.
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