Paper Title

wearable safeguard for workers

Article Identifiers

Registration ID: IJNRD_196128

Published ID: IJNRD2305535

DOI: Click Here to Get

Authors

M. Chandrahsekhar , Mohammed Faizan Ahmed , Syed Ameenul Hassan , Syed Ghouse Ahmed , Zubeda Begum

Keywords

Abstract

Abstract:- The increasing emphasis on occupational safety and the need for advanced monitoring systems have led to the development of innovative solutions such as IoT-based smart helmets for industrial workers. This abstract provides an overview of the key features and benefits of such a helmet, designed to enhance the safety and efficiency of workers in industrial settings. The IoT-based smart helmet integrates a range of sensors, wireless connectivity, and data analytics capabilities to create a comprehensive monitoring and alert system. The helmet is equipped with sensors to detect vital parameters such as temperature, humidity, gas levels, and impact force. These sensors continuously collect data, which is then transmitted wirelessly to a central control unit or a cloud-based platform. The collected data is processed and analyzed in real-time using advanced analytics algorithms. This enables the system to identify potential safety hazards, such as high temperature or toxic gas exposure, and promptly alert both the worker and the control center. Immediate notifications can be sent via visual indicators, auditory alarms, or even haptic feedback, ensuring that workers are aware of any potential risks. Moreover, the smart helmet incorporates location tracking capabilities using GPS or indoor positioning systems. This allows supervisors to monitor the real-time location of workers, enabling them to respond quickly to emergencies or accidents. Additionally, the helmet can be integrated with a communication system, enabling seamless interaction between workers and the control center. The benefits of the IoT-based smart helmet are manifold. Firstly, it enhances the safety of industrial workers by proactively detecting and alerting them to potential hazards. By providing real-time monitoring and timely notifications, it significantly reduces the risk of accidents and injuries. Secondly, the helmet enables efficient and streamlined communication between workers and supervisors, leading to improved coordination and response times in emergency situations. Furthermore, the collected data can be utilized for long-term analysis, enabling organizations to identify patterns and trends related to worker safety and productivity. This valuable information can guide decision-making processes, allowing companies to implement targeted safety measures and optimize operational efficiency. In conclusion, the IoT-based smart helmet represents a significant advancement in industrial worker safety. By leveraging sensor technology, wireless connectivity, and data analytics, the helmet provides real-time monitoring, alerts, and communication capabilities, ensuring a safer and more efficient work environment. The integration of IoT technology in industrial settings holds immense potential for improving worker well-being and overall operational effectiveness.

How To Cite (APA)

M. Chandrahsekhar, Mohammed Faizan Ahmed, Syed Ameenul Hassan, Syed Ghouse Ahmed, & Zubeda Begum (May-2023). wearable safeguard for workers. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(5), f163-f166. https://ijnrd.org/papers/IJNRD2305535.pdf

Issue

Volume 8 Issue 5, May-2023

Pages : f163-f166

Other Publication Details

Paper Reg. ID: IJNRD_196128

Published Paper Id: IJNRD2305535

Downloads: 000121981

Research Area: Electronics & Communication Engg. 

Country: Hyderabad, Telangana, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2305535.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2305535

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Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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Call For Paper - Volume 10 | Issue 10 | October 2025

IJNRD is a Scholarly Open Access, Peer-reviewed, and Refereed Journal with a High Impact Factor of 8.76 (calculated by Google Scholar & Semantic Scholar | AI-Powered Research Tool). It is a Multidisciplinary, Monthly, Low-Cost Journal that follows UGC CARE 2025 Peer-Reviewed Journal Policy norms, Scopus journal standards, and Transparent Peer Review practices to ensure quality and credibility. IJNRD provides indexing in all major databases & metadata repositories, a citation generator, and Digital Object Identifier (DOI) for every published article with full open-access visibility.

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Paper Submission Open For: October 2025

Current Issue: Volume 10 | Issue 10 | October 2025

Impact Factor: 8.76

Last Date for Paper Submission: Till 31-Oct-2025

Notification of Review Result: Within 1-2 Days after Submitting paper.

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