International Journal of Electrical Engineering and Computer Science
E-ISSN: 2769-2507
Volume 6, 2024
AI-Powered Disinfection Force: Harnessing 5G for Intelligent Distributed Object Recognition and Sanitation Fleet
Author:
Abstract: With the increasing prevalence of embedded cameras in devices such as phones, robots, and vehicles,
there’s a growing need to enhance their perception capabilities through advanced deep learning techniques. These
systems, however, often struggle under suboptimal conditions like environmental noise. The paper addresses
these challenges by proposing a 5G-enabled solution that uses a fleet of unmanned ground vehicles (UGVs) for
coordinated disinfection tasks in hospital environments. Utilizing high-bandwidth, low-latency 5G networks,
these UGVs can share high-quality images for distributed object recognition tasks and execute precise disinfection
routines using onboard UV lamps. The proposed system includes an optimal formation algorithm for UGVs
to maintain effective positioning and coordination. By leveraging 5G connectivity, the fleet can efficiently exchange
sensor data and perform real-time, innovative object recognition and disinfection, presenting a significant
advancement in intelligent sanitation technology.
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Keywords: AI, Computer Vision, Intelligent Fleet, Distributed Object Recognition, Decentralized
Architectures, Edge Computing, 5G
Pages: 239-247
DOI: 10.37394/232027.2024.6.28