Automated Visual Inspection of the Packaging Process
through Color segmentation and a Low-Cost Camera.
Monterrey
Tech (ITESM) - Toluca Campus – August 2004-May 2005.
Abstract: It was proposed an image processing
methodology, which is used in an automated visual inspection application. This
methodology is orientated towards industrial inspection tasks that could
benefit from the use of rather coarse color discrimination. The methodology is
employed in a software application, in order to inspect the packaging process
of pills in a blister pack –it counts the quantity of pills, packed in the
blister, and estimates their roundness. The methodology involves the image
acquisition –through a web camera–, spatial filtering, color segmentation
through HSI color space, morphological filtering, connected-component labeling,
and feature extraction. The experimental results, under controlled conditions,
always were correct.
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Automatic System
for Drilling of Printed Circuit Boards.
Control Lab,
Metropolitan Autonomous University (UAM) – September 2001-May 2002
Automation of a milling machine, applied to the
drilling of printed circuit boards. Development of software (under Visual
Basic) and
hardware (drivers and PIC microcontrollers).
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Didactic
Kit to Learn Stepping Motors
Control Lab,
Metropolitan Autonomous University (UAM) – January 2001 -
May 2002.
Set of
hardware, software, and tutorials to understand and use Stepping Motors.