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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM58776

SmartInspect AI: AI-Driven System for Secure Fire Safety Inspection and NOC Automation

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM58776

Volume:

10 |

3 |

Mar 2026

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM58776

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

SK

Sahil Kavatkar

AG

Amit Gupta

SM

Sagar Mandigam

SM

Suraj Mandigam

P

Prof

PB

Pranali Bhusare

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Abstract

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

Fire Safety Artificial Intelligence Image Hashing Geo-Tagging Audio Analysis Smart Inspection NOC Automation

Cite This Article

Sahil Kavatkar, Amit Gupta, Sagar Mandigam, Suraj Mandigam, Prof, Pranali Bhusare, "SmartInspect AI: AI-Driven System for Secure Fire Safety Inspection and NOC Automation," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 3, Mar 2026. https://doi.org/10.55041/IJSREM58776

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Publication Date

6/2/2026

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Double-Blind Peer Review

Review Rounds: 2

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