Year of Publication
Master of Science in Electrical Engineering (MSEE)
Electrical and Computer Engineering
Dr. Daniel L. Lau
Structured Light Imaging (SLI) is a means of digital reconstruction, or Three-Dimensional (3D) scanning, and has uses that span many disciplines. A projector, camera and Personal Computer (PC) are required to perform such 3D scans. Slight variances in synchronization between these three devices can cause malfunctions in the process due to the limitations of PC graphics processors as real-time systems. Previous work used a Field Programmable Gate Array (FPGA) to both drive the projector and trigger the camera, eliminating these timing issues, but still needing an external camera. This thesis proposes the incorporation of the camera with the FPGA SLI controller by means of a custom printed circuit board (PCB) design. Featuring a high speed image sensor as well as High Definition Multimedia Interface (HDMI) input and output, this PCB enables the FPGA to perform SLI scans as well as pass through HDMI video to the projector for Spatial Augmented Reality (SAR) purposes. Minimizing ripple noise on the power supply by means of effective circuit design and PCB layout, realizes a compact and cost effective machine vision sensing solution.
Digital Object Identifier (DOI)
Grant Intel/NSF VEC 1538950
Ruffner, Matt Phillip, "DESIGN OF A MACHINE VISION CAMERA FOR SPATIAL AUGMENTED REALITY" (2018). Theses and Dissertations--Electrical and Computer Engineering. 129.