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 work 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, creates a compact and cost effective machine vision sensing solution.
|Title of host publication||Emerging Digital Micromirror Device Based Systems and Applications XI|
|Editors||Michael R. Douglass, John Ehmke, Benjamin L. Lee|
|State||Published - 2019|
|Event||Emerging Digital Micromirror Device Based Systems and Applications XI 2019 - San Francisco, United States|
Duration: Feb 5 2019 → Feb 6 2019
|Name||Proceedings of SPIE - The International Society for Optical Engineering|
|Conference||Emerging Digital Micromirror Device Based Systems and Applications XI 2019|
|Period||2/5/19 → 2/6/19|
Bibliographical noteFunding Information:
This work has been supported by Intel Corporation and the National Science Foundation under contract No. 1539157 and the Visual and Experiential Computing initiative. Dr. Daniel L. Lau is a Professor at the University of Kentucky and a Founder of Seikowave Inc., a private company that designs and sells structured light scanners.
© 2019 SPIE.
- Image Sensor
- Machine Vision
- PCB Design
- Spatial Augmented Reality
ASJC Scopus subject areas
- Electronic, Optical and Magnetic Materials
- Condensed Matter Physics
- Computer Science Applications
- Applied Mathematics
- Electrical and Electronic Engineering