Even Driven Multimodal Augmented Reality based Command and Control Systems for Mining Industry
Author(s) -
Andhan Rahul Buddhan,
Subha P. Eswaran,
D. M Ezhil Buddhan,
Sridhar Sripurushottama
Publication year - 2019
Publication title -
procedia computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.334
H-Index - 76
ISSN - 1877-0509
DOI - 10.1016/j.procs.2019.04.135
Subject(s) - computer science , augmented reality , alarm , event (particle physics) , control (management) , safety monitoring , information fusion , command and control , sensor fusion , real time computing , computer security , human–computer interaction , artificial intelligence , telecommunications , materials science , physics , microbiology and biotechnology , quantum mechanics , composite material , biology
The mining industry is confronted with obligations to improve worker safety and provide more effective maintenance of the new-age mining machineries. It is also essential to develop reconnaissance mission to support emergency rescue operations. An approach to ensure the mine workers safety using AR (Augmented Reality) with remote monitoring CCS (Command Control System) is proposed in this paper. This method provides an interactive and augmented real time instantaneous personal safety solution. The benefit of augmented reality is blended with real time mining environmental sensor data using multimodal learning approach to predict the emergency situation instantaneously. Environmental mining sensory information is processed with Complex Event Processing (CEP) engine to derive high level events that trigger the alarm for the emergency situation. The proposed event driven multimodal AR based CCS, outperforms the existing emergency prediction solutions that use sensor fusion or deep learning AR.
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