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DTSTAMP:20250421T001827Z
UID:8201639D-B36C-44C0-A807-A46FC0EB7597
DTSTART;TZID=America/New_York:20250417T180000
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DESCRIPTION:Mr. Shadwell was the principal investigator and manager of a la
 rge applied research project in\nmachine vision\, conducted at Carnegie-Me
 llon University Robotics Institute. The challenge\nwas to be able to autom
 atically recognize any one of over 7 million rail cars on sight. These\nca
 rs might be in various states of detrioration\, different times of day\, a
 nd at speeds varying\nfrom a few miles an hour\, up to 50 mph. This presen
 tation includes a very interesting\nreview of the machine vision problem d
 omain and the solutions employed. There is a 10\nminute video that shows s
 ome of the field experiments.\n\nPlease register for the session.\n\nSpeak
 er(s): Butch\, \n\nAgenda: \n6:00 PM - Meet &amp; Greet and Social\n\n6:15 PM-
  Serving dinner\n\n6:45 PM- Science Fair award winners\n\n7:15 PM- Speaker
 \n\n8:00 PM- Close Meeting\n\nRoom: Conf Room - 171\, Bldg: JU Davis Colle
 ge of Business and Technology\, 2800 University Blvd North\, Jacksonville\
 , Florida\, United States\, 32211
LOCATION:Room: Conf Room - 171\, Bldg: JU Davis College of Business and Tec
 hnology\, 2800 University Blvd North\, Jacksonville\, Florida\, United Sta
 tes\, 32211
ORGANIZER:b.shadwell@ieee.org
SEQUENCE:79
SUMMARY:Machine Vision Object Recognition by Mr. Butch Shadwell
URL;VALUE=URI:https://events.vtools.ieee.org/m/475343
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;Mr. Shadwell was the principal investigato
 r and manager of a large applied research project in&lt;br&gt;machine vision\, c
 onducted at Carnegie-Mellon University Robotics Institute. The challenge&lt;b
 r&gt;was to be able to automatically recognize any one of over 7 million rail
  cars on sight. These&lt;br&gt;cars might be in various states of detrioration\,
  different times of day\, and at speeds varying&lt;br&gt;from a few miles an hou
 r\, up to 50 mph. This presentation includes a very interesting&lt;br&gt;review 
 of the machine vision problem domain and the solutions employed. There is 
 a 10&lt;br&gt;minute video that shows some of the field experiments.&lt;/p&gt;\n&lt;p&gt;Ple
 ase register for the session.&lt;/p&gt;\n&lt;p&gt;&amp;nbsp\;&lt;/p&gt;&lt;br /&gt;&lt;br /&gt;Agenda: &lt;br /
 &gt;&lt;p&gt;6:00 PM - Meet &amp;amp\; Greet and Social&lt;/p&gt;\n&lt;p&gt;6:15 PM- Serving dinner
 &lt;/p&gt;\n&lt;p&gt;6:45 PM- Science Fair award winners&lt;/p&gt;\n&lt;p&gt;7:15 PM- Speaker&lt;/p&gt;\
 n&lt;p&gt;8:00 PM- Close Meeting&lt;/p&gt;\n&lt;p&gt;&amp;nbsp\;&lt;/p&gt;
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