Semi-automated closed-loop single head PCB drilling machine using image processing.

• Main Authors: Bongcayao, Aldrin S., Capalad, Reyel V., Karamihan, Dave John B., Magnaye, Jesus R.
• Format: text
• Language: English
• Published: Animo Repository 1995
• Subjects: Electronic digital computer; Image processing; Drilling and boring machinery; Automatic control; Electronic digital computers > Programming; Digital electronics
• Online Access: https://animorepository.dlsu.edu.ph/etd_bachelors/7199
• Institution: De La Salle University

Image processing and color recognition as applied to a numerically controlled drilling machine is the main theme of this thesis.Using a video camera as a transducer which captures the printed circuit board pattern, a commercially-available VIDEO BLASTER multi-media card which has a built-in digitizer and frame-grabber aside from its other functions, serves as its interface to the PC. The image is then captured as an 8-bit palette color Tag Image File Format (TIFF). The Viewtif software reads and displays the captured image and is then manipulated using image processing techniques. After the processing stage, the image is then matched with existing color templates to detect the color codes present in the PCB. With each color code representing a drill-hole size and the location (X and Y) of the hole in millimeters, the drilling machine is then controlled by the Numcon software to proceed to the specified location and initiate the drilling process. The Numcon software embodies the control routines for the drilling machine.All software was implemented using Turbo C++.