Experimental results demonstrate the feasibility of deploying embedded ANNs on the ESP32 within an industrial IoT framework, which paves the way for further research and development of embedded AI models addressing broader environmental safety monitoring challenges.
Firecracker manufacturing industries are in danger as these involves explosive powder, flammable chemicals and heavy dust. Accordingly, fires can easily break out in such industries. An IoT smart safety system capable of real-time detection of hazards, warning the people beforehand and suppressing the fire incident wit...
M. V, J. S, S. S et al.· 2026 International Conferenc...· 0 citations
Air pollution poses a serious threat to human health and the environment, making continuous monitoring and timely warning systems essential for protecting public health. This article presents the design and development of an integrated Air Quality Monitoring and Alert System (AQMAS) that monitors particulate matter (PM...
S. Nalawade, H. Tapase, Abhishek Jaysing Lotekar· International Journal of Eme...· 0 citations
This study presents the design and implementation of an IoT-based gas pipeline monitoring and leak detection bot, capable of measuring gas concentration in real time and sending alerts before dangerous levels are reached, and demonstrates the bot's reliability in different scenarios.
D. C. Chinda, T. Fabunmi, O. T. Ojo et al.· SPE Nigeria Annual Internati...· 0 citations
Carbon monoxide (CO) exposure poses a significant occupational safety risk in home-industry environments due to incomplete fuel combustion and inadequate ventilation. Conventional CO detection systems are often expensive, offer limited remote monitoring capabilities, and rely solely on passive warning systems, reducing...
Radinal Fadli, F. Eliza, M. A. Hamid et al.· International Journal of Adv...· 0 citations
Experimental results demonstrate that the proposed system effectively detects hazardous conditions, provides timely alerts, and supports remote supervision, thereby improving worker safety and operational efficiency.
Vijaya Sri Andiboyina, Sri Chandrika Tamada Devi, Deepa Sahasra Saragadam et al.· International Journal of Sci...· 0 citations
The proposed solution provides a low-cost, scalable, and efficient approach for improving industrial safety, minimizing manual intervention, and supporting predictive monitoring applications in smart manufacturing environments.
Manasa Yerramsetti, Ganesh Gantyada, Divya Matam et al.· International Journal of Sci...· 0 citations
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