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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
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| Paper Title: | wearable safeguard for workers |
| Authors Name: | M. Chandrahsekhar , Mohammed Faizan Ahmed , Syed Ameenul Hassan , Syed Ghouse Ahmed , Zubeda Begum |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_196128
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| Published Paper Id: | IJNRD2305535 |
| Published In: | Volume 8 Issue 5, May-2023 |
| DOI: | |
| 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. |
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| Cite Article: | "wearable safeguard for workers", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 5, page no.f163-f166, May-2023, Available :http://www.ijnrd.org/papers/IJNRD2305535.pdf |
| Downloads: | 000118775 |
| ISSN: |
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID:IJNRD2305535 Registration ID: 196128 Published In: Volume 8 Issue 5, May-2023 DOI (Digital Object Identifier): Page No: f163-f166 Country: Hyderabad, Telangana, India Research Area: Electronics & Communication Engg. Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2305535 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2305535 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
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