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AI Based E-Textile for Chemical Exposure Monitoring for Industrial Worker’s Safety


Authors : Shanthi K.; K. Praveenkumar; Rajaram Mani; Shanthi V.; Preethibha C.; Suganthi N.; Sugumar M.; Aswhin A.; Drisyia S.; Sruthika V.

Volume/Issue : Volume 11 - 2026, Issue 5 - May


Google Scholar : https://tinyurl.com/3f4vdreb

Scribd : https://tinyurl.com/49supt2d

DOI : https://doi.org/10.38124/ijisrt/26May1301

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.


Abstract : The PAPER addresses safety concerns in industries where workers face potential exposure to hazardous chemicals. Utilizing e-textile technology, the method develops a wearable smart system that incorporates chemical sensors into the fabric of industrial workers' protective clothes. A secure cloud-based architecture for effective data processing and storage, real-time notifications to warn employees of dangerous exposure levels, and ongoing chemical concentration monitoring are some of the key objectives. Transmitting exposure data to a centralized cloud platform, the e-textile operates as an Internet of Things (IoT) device. Implementing e-textile technologies, carefully choosing and integrating chemical sensors, using microcontrollers for efficient data management, putting communication modules in place for realtime data transmission, and creating user-friendly interfaces for mobile or web applications are all crucial project components. The report also highlights data analytics, which evaluates and forecasts possible long-term health effects using cumulative exposure data. The project's expected results include developing a working mobile or web application for real-time monitoring, creating a smart e-textile system prototype, and demonstrating how the system seamlessly tracks chemical exposure and sends data to the cloud. Analysing preliminary data will highlight the project's importance in enhancing occupational health by assessing the possible long-term impacts of chemical exposure in industrial settings.

Keywords : E-Textiles, IoT, Chemical Exposure, Industry Worker, Chemical Worker, Chemical Exposure Monitor, Health Monitoring, Hazardous Gas.

References :

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The PAPER addresses safety concerns in industries where workers face potential exposure to hazardous chemicals. Utilizing e-textile technology, the method develops a wearable smart system that incorporates chemical sensors into the fabric of industrial workers' protective clothes. A secure cloud-based architecture for effective data processing and storage, real-time notifications to warn employees of dangerous exposure levels, and ongoing chemical concentration monitoring are some of the key objectives. Transmitting exposure data to a centralized cloud platform, the e-textile operates as an Internet of Things (IoT) device. Implementing e-textile technologies, carefully choosing and integrating chemical sensors, using microcontrollers for efficient data management, putting communication modules in place for realtime data transmission, and creating user-friendly interfaces for mobile or web applications are all crucial project components. The report also highlights data analytics, which evaluates and forecasts possible long-term health effects using cumulative exposure data. The project's expected results include developing a working mobile or web application for real-time monitoring, creating a smart e-textile system prototype, and demonstrating how the system seamlessly tracks chemical exposure and sends data to the cloud. Analysing preliminary data will highlight the project's importance in enhancing occupational health by assessing the possible long-term impacts of chemical exposure in industrial settings.

Keywords : E-Textiles, IoT, Chemical Exposure, Industry Worker, Chemical Worker, Chemical Exposure Monitor, Health Monitoring, Hazardous Gas.

Paper Submission Last Date
30 - June - 2026

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