Intelligent Safety Systems and Automation: Cross-Industry Technological Integration from Rider Protection to Oil–Gas Engineering
DOI:
https://doi.org/10.62486/978-9915-9851-0-7_202637Keywords:
Intelligent safety systems, blind-spot detection, rider protection technologies, oil–gas exploration, predictive monitoring, embedded systems, human–machine interactionAbstract
Advances in sensing devices, data analytics, and real-time automation have, to a large extent, been the factors that have opened up the new safety-oriented innovations wave across engineering diverse domains. What to expect in future personal mobility is the use of smart helmets that contain such features as blind-spot detection, proximity sensing, and adaptive alert mechanisms. The latter two features would help give riders in dense and unpredictable traffic environments a little bit of solace that they were less vulnerable. Simultaneously, the developments in the oil-gas sector tell a story of how operational reliability and risk management in high-hazard industrial settings are being turned around by autonomous monitoring, predictive analytics, and integrated control architectures. However, these industries seem to be so far apart that one would think they have nothing in common. Interestingly, both these fields combine three elements – embedded intelligence, real-time decision support, and human–machine cooperation. This article reviews the technological concepts that support these changes; also, reflect on their design philosophies that are converging; and, finally, discuss how cross-industry insights can facilitate the evolution of safety systems that have greater resilience. The investigation, by juxtaposing the technologies for rider safety with the automation frameworks in the oil–gas sector, brings to the fore a new trend: the gradual move towards the integrated, sensor-driven, and context-aware safety solutions that can be equally effective in enhancing performance in everyday and industrial environments.
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Copyright (c) 2026 M. Kannan , P. Prabhu , R. Vijaya ragavan, V. Santhiya, Harimanas, Christo Ananth, Shoohrat Toshmatov4 (Author)
This work is licensed under a Creative Commons Attribution 4.0 International License.
The article is distributed under the Creative Commons Attribution 4.0 License. Unless otherwise stated, associated published material is distributed under the same licence.
