Summary: Slide 1
ILLINOIS - RAILROAD ENGINEERING
Principal Investigators: Christopher P.L. Barkan and Narendra Ahuja
Interdisciplinary Team: John M. Hart, Esther Resendiz, Benjamin
Freid, and Steven Sawadisavi
Machine Vision Using Multi-Spectral Imaging
for Undercarriage Inspection of
Railroad Equipment
Railroad Engineering Program and Computer Vision and
Robotics Laboratory University of Illinois at Urbana-Champaign
Slide 2
ILLINOIS - RAILROAD ENGINEERING
Undercarriage Inspection Background
Undercarriage inspection today
is a manual process
­ Labor intensive
­ Time intensive
­ Subjective
Machine vision systems have the potential to automatically monitor,
assess, record and transmit information on the condition of rolling stock

Source: Ahuja, Narendra - Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign

Collections: Computer Technologies and Information Sciences; Engineering