Faculty Advisor

Ciaraldi, Michael J.

Faculty Advisor

Duckworth, R. James

Abstract

This project implemented a system for performing augmented reality on a Xilinx Zync FPGA. Augmented and virtual reality is a growing field currently dominated by desktop computer based solutions, and FPGAs offer unique advantages in latency, performance, bandwidth, and portability over more traditional solutions. The parallel nature of FPGAs also create a favorable platform for common types of video processing and machine vision algorithms. The project uses two OV7670 cameras mounted on the front of an Oculus Rift DK2. A video pipeline is designed around an Avnet ZedBoard, which has a Zynq 7020 SoC/FPGA. The system aimed to highlight moving objects in front of the user.

Publisher

Worcester Polytechnic Institute

Date Accepted

April 2016

Major

Electrical and Computer Engineering

Major

Computer Science

Project Type

Major Qualifying Project

Accessibility

Unrestricted

Advisor Department

Computer Science

Advisor Department

Electrical and Computer Engineering

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