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

Date of Publication

1995

Document Type

Bachelor's Thesis

Degree Name

Bachelor of Science in Electronics and Communications Engineering

College

Gokongwei College of Engineering

Department/Unit

Electronics and Communications Engineering

Abstract/Summary

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++.

Abstract Format

html

Language

English

Format

Print

Accession Number

TU06844

Shelf Location

Archives, The Learning Commons, 12F Henry Sy Sr. Hall

Physical Description

42 numb. leaves ; Computer print-out.

Keywords

Electronic digital computer; Image processing; Drilling and boring machinery; Automatic control; Electronic digital computers -- Programming; Digital electronics

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