TTCI R&D: Machine Learning for Machine Vision Systems
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RAILWAY AGE, JULY 2021 ISSUE: Reliable, real-time monitoring of in-service railcar components will enhance the potential for maintenance planning.
BY ANISH POUDEL, PH.D – PRINCIPAL INVESTIGATOR I (NDT); ABE MEDDAH – PRINCIPAL INVESTIGATOR I; AND MATT WITTE, PH.D – SCIENTIST, TRANSPORTATION TECHNOLOGY CENTER, INC.
Through the Association of American Railroads (AAR) Strategic Research Initiatives (SRI) program, Transportation Technology Center, Inc. (TTCI) has been assisting suppliers and other stakeholders in the development of machine vision technologies and related algorithms for evaluating railcar components and conditions. To enhance safety and reduce worker exposure to yard risk, North American railroads have begun to install machine vision inspection systems in revenue service.
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Weekly US rail volumes rebound from prior week
U.S. rail traffic recovered last week from the prior week’s dip in volumes, according to data from the Association of American Railroads (AAR).
U.S. rail volumes totaled 533,872 carloads and intermodal units for the week ending last Saturday. That total is 2% higher than the prior week and 28.3% higher than the same period in 2020. The double-digit percentage increase reflects the volume downturn that occurred last year at the start of the COVID-19 pandemic in North America.