Corporate Safety System Using SERN Stack

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. Key Words: Corporate Safety, Workplace Hazard, SERN Stack, Real-Time Monitoring, Safety Compliance

Authors

Publication Details

Journal
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Published
2025-04-28
DOI
https://doi.org/10.55041/ijsrem46257
Primary Topic
Technology and Data Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Corporate Safety System Using SERN Stack

S R SOWMIYA
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Technology and Data Analysis
article

Corporate Safety System Using SERN Stack

S R SOWMIYA
article en

Abstract

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. Key Words: Corporate Safety, Workplace Hazard, SERN Stack, Real-Time Monitoring, Safety Compliance

INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENTVol. 09(04)
Openalex Percentile: Top 88%
Technology and Data Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Corporate Safety System Using SERN Stack — S R SOWMIYA · INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT (2025) | TGRS Research Map | TGRS