00000nam 2200000zi 4500 9.949915 CaOODSP 20250415123934 m o d f cr cn||||||||| 250409t20242024oncado ob f|0| 0 eng d CaOODSP eng rda CaOODSP n-cn--- NR16-480/2024E-PDF Liu, Yan, author. Technical report : assessing the effectiveness of vision technologies for railcar inspection / prepared for: Transport Canada's Innovation Center; prepared by: Yan Liu, Abdelhamid Mammeri, Samy Metari, Md Atiqur Rahman, Alireza Roghani, National Research Council Canada; Michael Hendry, Lianne Lefsrud, Parth Rana, Fereshteh Sattari, University of Alberta. Assessing the effectiveness of vision technologies for railcar inspection Version 1.0. [Ottawa] : National Research Council Canada = Conseil national de recherches du Canada, December 02, 2024. ©2024 1 online resource (89 pages) : illustrations, graphs, photographs text txt rdacontent computer c rdamedia online resource cr rdacarrier "Project: A1-020979." "Report number: AST-2024-0054." Includes bibliographical references (pages 66-71). "Railways globally are leveraging machine vision technologies to enhance railcar inspections, aiming to improve efficiency and safety. Canadian Pacific Kansas City (CPKC) is a leader in North America, utilizing a process called Portal Office Inspection (POI) ... These findings are then communicated to field inspectors for validation and necessary actions. This innovative approach allows inspections to be performed while trains are in motion, reducing idle times and improving operational efficiency"--Executive summary, page 10. Railroad cars Inspection Canada. Technology assessment Canada. Chemins de fer Wagons Inspection Canada. Technologie Évaluation Canada. National Research Council of Canada, issuing body. PDF 2.81 MB https://publications.gc.ca/collections/collection_2025/cnrc-nrc/NR16-480-2024-eng.pdf