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Demonstration of φ-OTDR-based DFOS Assisted by YOLOv8 for Traffic Monitoring in Smart Cities

Full text
Author(s):
Colares, Robson A. ; Huancachoque, Leonid A. ; Conforti, Evandro ; Mello, Darli A. A.
Total Authors: 4
Document type: Journal article
Source: 2024 SBFOTON INTERNATIONAL OPTICS AND PHOTONICS CONFERENCE, SBFOTON IOPC 2024; v. N/A, p. 3-pg., 2024-01-01.
Abstract

We investigate the viability of using legacy fiber infrastructure to support future smart cities using distributed fiber optic sensing (DFOS) for traffic control. We carry out a field trial using fibers installed along the university campus and a dedicated camera for traffic parameter estimation. The novel YOLOv8 pattern recognition model applied to recorded video sequences is used as a reference to validate the implemented phase-sensitive optical time-domain reflectometer (phi-OTDR). The collected phi-OTDR data is manually annotated and compared to the YOLOv8 data used as ground truth. The results indicate that the implemented phi-OTDR setup successfully detects heavy vehicle traffic. (AU)

FAPESP's process: 21/11380-5 - CPTEn - São Paulo Center for the Study of Energy Transition
Grantee:Luiz Carlos Pereira da Silva
Support Opportunities: Research Grants - Science Centers for Development
FAPESP's process: 22/07488-8 - Machine learning applications for advanced optical networks
Grantee:Darli Augusto de Arruda Mello
Support Opportunities: Regular Research Grants
FAPESP's process: 21/06569-1 - High-speed strategic internet technologies
Grantee:Evandro Conforti
Support Opportunities: Research Projects - Thematic Grants
FAPESP's process: 22/12917-5 - Phase-sensitive OTDR-based distributed sensing for smart cities
Grantee:Robson Assis Colares
Support Opportunities: Scholarships in Brazil - Technical Training Program - Technical Training
FAPESP's process: 22/11596-0 - Scientific EMU: acquisition of transmission and characterization equipment for ultra-high-speed data links
Grantee:Darli Augusto de Arruda Mello
Support Opportunities: Research Infrastructure Program - Scientific