Real-Time Workplace Safety Monitoring and Emergency Notification System for Industrial Environments

Catherine Mary; John Okello Okuto

doi:https://doi.org/10.47001/ICJES/2025.406002

Authors

Catherine Mary

School of Agriculture and Environmental Sciences, Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya

John Okello Okuto

School of Agriculture and Environmental Sciences, Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya

Abstract

The research paper has been explored to enhance safety protocols within industrials. This system leverages cutting-edge technologies, including sensors, real-time data analytics, and communication networks, to monitor various safety parameters such as gas concentrations, fire hazards, and structural integrity. The sensors are designed to continuously gather and assess data, enabling the system to promptly identify potential threats and notify relevant personnel through alarms, text messages, and emails. The primary objective is to avert accidents, minimize response times, and safeguard the well-being of industrial employees. In summary, this system represents a significant advancement in industrial safety measures. By employing contemporary technology for real-time surveillance and rapid notifications, it enhances the ability to prevent and manage emergencies effectively. This initiative is dedicated to ensuring the safety of industrial workers and could potentially serve as a benchmark for enhancing safety in other industrial settings.

Keywords

Alert system industrial workplace emergency monitoring real-time data analysis communication networks

Citation of this Article

Catherine Mary, & John Okello Okuto. (2025). Real-Time Workplace Safety Monitoring and Emergency Notification System for Industrial Environments. International Current Journal of Engineering and Science - ICJES, 4(6), 8-12. Article DOI: https://doi.org/10.47001/ICJES/2025.406002

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[1] Ahmetovic, D.; Sato, D.; Oh, U.; Ishihara, T.; Kitani, K.; Asakawa, C. Recog: Supporting blind people in recognizing personal objects. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, Honolulu, HI, USA, 25–30 April 2020.

[2] S. P. Nyoni and T. Nyoni, “Forecasting Art Coverage in South Africa Using the Multilayer Perceptron Neural Network,” International Research Journal of Innovations in Engineering and Technology (IRJIET), vol. 5, no. 3, pp. 207–211, 2021.

[3] Chevincee Werawanich,, Sanjay Adhikesaven “An Industrial Workplace Alerting and Monitoring Platform to Prevent Workplace Injury and Accidents”, 2022.

[4] Huimin Han et al, J. Phys, “Research on Ship Fire Monitoring and Alarm System”: Conf. Ser. (2029 012142), 2021.

[5] Indu Dokare, Shravan Bhat, Vivek Choudhary, Aditya Deopurkar, Sahil Talreja “InMo: IoT based Industrial Safety and Monitoring System” 2020.

[6] Hu, W.; Wang, K.; Yang, K.; Cheng, R.; Ye, Y.; Sun, L.; Xu, Z. A Comparative Study in Real-Time Scene Sonification for Visually Impaired People. Sensors 2020, 20, 3222.

[7] Croce, D.; Giarre, L.; Pascucci, F.; Tinnirello, I.; Galioto, G.E.; Garlisi, D.; Valvo, A.L. An indoor and outdoor navigation system for visually impaired people. IEEE Access 2019, 7, 170406–170418.

[8] Pengfei Li, J. Phys. “A Ship Fire Monitoring and Alarm System Based on A Distributed Configuration”. Conference paper: Conf. Ser. (2674 012035), 2023.

[9] Li Da Xu, Senior Member, Article in IEEE Transactions on “Industrial Informatics, Internet of things in industries” a survey November 2014.

[10] Mocanu, B.; Tapu, R.; Zaharia, T. Deep-see face: A mobile face recognition system dedicated to visually impaired people. IEEE Access 2018, 6, 51975–51985.

[11] Satyanarayana, G. V., and S. D. Mazaruddin. "Wireless Sensor Based Remote Monitoring System For Agriculture Using Zigbee And GPS." Conference OnAdvances In Communication And Control Systems. 2013.

[12] Vitiello, G.; Sebillo, M.; Fornaro, L.; Di Gregorio, M.; Cirillo, S.; De Rosa, M.; Fuccella, V.; Costagliola, G. Do you like my outfit? Cromnia, a mobile assistant for blind users. In Proceedings of the 4th EAI International Conference on Smart Objects and Technologies for Social Good, Bologna, Italy, 28–30 November 2018; pp. 249–254.

[13] Joshi, R.C.; Yadav, S.; Dutta, M.K.; Travieso-Gonzalez, C.M. Efficient Multi-Object Detection and Smart Navigation Using Artificial Intelligence for Visually Impaired People. Entropy 2020, 22, 941.

[14] Abbas HA (2019) Numerical model of stone column in sabkha soil. Int Res J Innov Eng Technol IRJIET 3(9):8–11.

[15] Saluy, A. B., Fitri, E. M., Sudjono, & K, N. (2020). The Effect of Capital Structure, Dividend Policies, and Working Capital Routing on Company Value and Profitability as Intervening Variables in Property and Real Estate Companies in Indonesia Stock Exchange 2014-2018. International Research Journal of Innovations in Engineering and Technology, 4(10), 14–19.