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Summary: 1
Narendra Ahuja and Chris Barkan Co-PIs
John M. Hart Research Engineer
Sinisa Todorovic Postdoctoral Research Associate
Beckman Institute for Advanced Science and Technology
John Zeman, Steven Sawadisavi, Chris Whitaker, and Ze Ziong Chua Students
Railroad Engineering Program, University of Illinois at Urbana-Champaign
Thursday September 13th -14th 2007
A Machine Vision System for
Safety Appliance Inspection
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Project Scope
· Develop a wayside machine vision system to inspect the
safety appliances on freight cars. The system will perform
these inspections based on the regulations of Title 49 Part
231 of the Code of Federal Regulations (CFR).
· An image acquisition system will capture digital videos
of the freight cars while the train is moving. Machine vision
algorithms will analyze the videos to identify the safety
appliances and learn to detect if they are in compliance with
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