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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM46257

Corporate Safety System Using SERN Stack

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM46257

Volume:

9 |

4 |

Apr 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM46257

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

SRS

S R SOWMIYA*1

MM

MADHUMITHA M*2

PR

PRIYANKA R*3

RJ

RAGAPRIYA J*4

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Abstract

In recent years, workplace safety has become a critical concern for organizations striving to ensure a secure environment for employees and visitors. Traditional safety systems often lack real-time responsiveness and integrated monitoring, resulting in delayed incident reporting and inefficient emergency responses. This paper presents the Corporate Safety System, an intelligent, web-based solution developed using the SERN stack (SQL, Express.js, React, Node.js) to address the multifaceted aspects of corporate safety. The system features real-time hazard detection, weapon recognition through CCTV integration (Gun), incident reporting and tracking, emergency response automation, and compliance management. Additional components include a chatbot for instant safety assistance, role-based access control, and analytics for incident trends and audits. Through seamless integration of various technologies, the system offers centralized control and monitoring, enhancing workplace safety, response time, and decision-making. The proposed solution outperforms conventional safety systems by providing a proactive, automated, and scalable approach to hazard detection and safety management. Future work aims to incorporate blockchain for secure data handling and expand IoT integration for physical environment sensing.

KEYWORDS

Corporate Safety Workplace Hazard SERN Stack Real-Time Monitoring Safety Compliance

Cite This Article

S R SOWMIYA*1, MADHUMITHA M*2, PRIYANKA R*3, RAGAPRIYA J*4, "Corporate Safety System Using SERN Stack," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 4, Apr 2025. https://doi.org/10.55041/IJSREM46257

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Publication Date

4/28/2025

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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5

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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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