Machine Vision Object Recognition by Mr. Butch Shadwell
Machine vision object recognition enables systems to identify and classify objects using image processing, improving automation, accuracy, and efficiency across various industries.
Mr. Shadwell was the principal investigator and manager of a large applied research project in
machine vision, conducted at Carnegie-Mellon University Robotics Institute. The challenge
was to be able to automatically recognize any one of over 7 million rail cars on sight. These
cars might be in various states of detrioration, different times of day, and at speeds varying
from a few miles an hour, up to 50 mph. This presentation includes a very interesting
review of the machine vision problem domain and the solutions employed. There is a 10
minute video that shows some of the field experiments.
Please register for the session.
Free Food for all IEEE member attendees.
Non members should pay a small amount of $5
If you plan to join us for the meal, please register as soon as possible, but no later than April 9. After this date, meal registration will be closed.
6:00 PM - Meet & Greet and Social
6:15 PM- Serving dinner
6:45 PM- Science Fair award winners
7:15 PM- Speaker
8:00 PM- Close Meeting
| Name | Restriction | Amount |
|---|---|---|
| Meals for non members | Non Members | 5 USD |
Butch
Mr. Shadwell was the principal investigator and manager of a large applied research project in
machine vision, conducted at Carnegie-Mellon University Robotics Institute. The challenge
was to be able to automatically recognize any one of over 7 million rail cars on sight. These
cars might be in various states of detrioration, different times of day, and at speeds varying
from a few miles an hour, up to 50 mph. This presentation includes a very interesting
review of the machine vision problem domain and the solutions employed. There is a 10
minute video that shows some of the field experiments.