Senior Design Team 06 • Video Pipeline for Machine Vision

Project Overview

Our project aims to develop a video pipeline for computer machine vision that executes within a Linux operating system. The video pipeline will use a MIPI-connected COTS camera module to a display monitor. Incoming MIPI video data will be sent through a custom configured FPGA-based video pipeline and output a live video stream to a display monitor connected via an active mini displayport cable. The project’s stretch goal is to pass the incoming video stream through a machine learning algorithm that augments the video that gets sent to the display monitor.


Team Members

Deniz Tazegul

Video Stream to FPGA

Computer Engineering Student

Liam Janda

VDMA to DDRM

Computer Engineering Student

Taylor Johnson

DDRM to Display

Electrical Engineering Student

Ritwesh Kumar

Video Stream to FPGA

Electrical Engineering Student


Weekly Reports

Team Report 1
Team Report 2
Team Report 3
Team Report 4
Team Report 5
Team Report 6
Team Report 7
Team Report 8
Team Report 9
Team Report 10

Lightning Talks

Lightning Talk 1
Lightning Talk 2
Lightning Talk 3
Lightning Talk 4
Lightning Talk 5
Lightning Talk 6
Lightning Talk 7
Design Presentation


Design Documents

Design Document
Block Diagram
Block Diagram 2