Design of Smart-real Time Monitoring Wearable Safety Jacket for Hard Industrial Environments

Abstract

Aims: The objective of smart clothing is to integrate fashion, engineering, user experience, cybersecurity, design, and science to develop technologies capable of anticipating users' needs and desires. Study Design: This research aims to design, develop, and systematically evaluate a wearable smart safety vest intended to enhance industrial worker safety by continuously monitoring both environmental and physiological parameters. Place and Duration of Study: The study was conducted at [The Higher Institute of Engineering and Technology in New Damietta] from [January 2024 to December 2024]. Methodology: This study explores the potential of smart textiles that communicate with smartphones to process vital biometric data such as heart rate, temperature, respiration, movement, acceleration, stress levels, and even fingerprints. Additionally, hormone levels were considered as a key factor, signalling the emergence of a new era in wearable technologies. The paper addresses the core requirements for developing IoT-enabled smart apparel and discusses the potential long-term impact of these advancements on business models. Results: The system alerts industrial workers through the app with notifications generated by various sensors. Each sensor is linked to specific auditory cues to enhance user awareness. The app allows users to monitor automation processes, view DataStream events, and access real-time sensor data, providing comprehensive feedback on sensor readings. Conclusion: The paper outlines the primary types and components of smart IoT clothing and wearables, highlighting their essential features and the most recent advancements in the field. It also presents a global IoT framework for smart clothing and offers recommendations for designing networks that will connect apparel with other IoT devices, paving the way for future developments in the integration of smart clothing and the Internet of Things.