LED Animation

The goal for this project is to stream a YouTube video to a 32x32 LED panel using a Raspberry Pi.

Sponsor
Dr. Robert Rinker:


 * University of Idaho professor in the Collage of Engineering (Department of Computer Science).

Background
This project builds off of the framework created last semester by team RPLD (Raspberry Pi LED Display). Team RPLD developed display drivers for the Pi's serial port, and manufactured a custom 16-to-26 pin serial connector needed for connecting the LED Panel to the Pi.

Problem Statement
Our main objective is to develop software for the Raspberry Pi that will:
 * Download a YouTube video
 * Decode the video stream frame by frame
 * Convert each frame to a representative 32x32 matrix, and
 * Display frames on a 32x32 LED panel with a reasonable frame rate

Raspberry PI

 * Debian Operating System
 * RM1176JZF-S 700 MHz processor
 * 512MB RAM

OpenCV

 * CMake 2.6 or higher.
 * GTK+2.x or higher, including headers (libgtk2.0-dev).
 * pkgconfig;
 * Python 2.6 or later and Numpy 1.5 or later with developer packages (python-dev, python-numpy).
 * ffmpeg or libav development packages: libavcodec-dev, libavformat-dev, libswscale-dev.

libcurl

 * libcurl4-gnutls-dev binary package
 * v. 7.9.6 or later
 * curl 7.14.0 or later

Qt

 * v. 4.x or higher
 * qmake 4.x or higher

LED Display

 * Custom 16-to-26 pin connector
 * Image data in 3072x1 8-bit array, per frame, per LED display.

Design
Note: For a more detailed description of the project's design refer to the SDD in the documentation section below.

The general design and construction of this project is partitioned into four major interfaces. Each of these interfaces are modular in design, allowing for our end product to provide a much more robust functionality than the specification calls for. These four interfaces are as follow:
 * User Interface
 * YouTube Interface
 * Video Stream Interface
 * LED Panel Interface

User Interface
The User Interface is the hub joining and streamlining the other interfaces in an appropriate manor. It offers the user several different options, such as streaming a video on the LED display, downloading a remote video to the local machine, buffering raw video data to provide greater throughput, and more. Each of these options utilizes the other interfaces, or modules, in order to achieve the desired result. The functionality of these three modules is detailed below.

YouTube Interface
The YouTube Interface encapsulates the first module, Module 1, of the product. It is responsible for retrieving a proper YouTube video URL that will locate the remote video file hosted by YouTube. These URLs are different from the one that is used in a browser to play a YouTube video on their sight, these are URLs that access the compressed video file stored on the YouTube server. Due to YouTube's copyright protection policies, any YouTube video that is has a copyright cannot be retrieved from YouTube. However, when a video URL is successfully retrieved it is passed up to the User Interface to be utilized as desired.

If a local video, or a remote video that is not from YouTube, is requested by the user to be used, then this interface will not be utilized. This interface is strictly for retrieving the video location of a YouTube video, as the specifications require that the product can stream a video from YouTube.

If the user requests to download a remote video to their local machine and do no further processing, this is the only module that will be utilized.

Video Stream Interface
The Video Stream Interface is responsible for downloading, buffering, and processing video data from the desired location. The end result is a stream of bits that correspond to a single video frame that can be displayed on the 32x32 LED panel. In order to achieve this, the buffered video data has to be decoded and extracted one video frame at a time, re-sized to a 32x32 resolution, and converted to a bit stream that represents the pixel map of the video frame. All common video files can be properly processed in this module, including .mp4, .avi, .mpeg, .flv, etc.

Due to the relatively high overhead of processing the video data, direct streaming on the Raspberry Pi yields very low frame rates, anywhere from 1 to 5 frames per second depending on video quality and resolution. To circumvent this issue, the raw frame data can be buffered into a local object file. This will remove the video processing overhead by pre-processing the video frames, so all that needs to be done is to stream the frames from the object file, one at a time.

LED Panel Interface
The LED Panel Interface is responsible for displaying the processed video data one frame at a time, at a reasonable frame rate. This is done by pushing the raw frame data to the LED panel, through the serial port, and redrawing the frame at a rate of about 30 Hz (about 30 times per second). This allows each frame to be seen with little to no flickering on the screen. To achieve a convening depth of color, darker colors are displayed less frequently, using a technique called pulse width modulation. A pictorial description of how this works can be seen in the image to the right.

While each individual frame is being displayed on the LED panel, the LED Panel Interface is preparing to load in the next frame. Due to the Raspberry Pi's relatively low CPU speed, and the fact that part of this module's job is to maintain the display on the LED panel, proper timing to achieve a consistent frame rate cannot be done effectively. Timing interrupts required to achieve consistent frame rates introduce latency issues that increase the amount of flickering seen on the LED display. So, videos that are displayed will vary in frame rate depending on their required frames per second, since each frame will be displayed for the same amount of time (i.e. higher frame rate video means faster video displayed).

While the flickering on the screen can be minimized, and improved upon by removing timing interrupts and

Team: Automaten


Everett Bloch:


 * Everett is a Senior majoring in Computer Science, with fields of interest in computer networking / data communications, computer graphics, and artificial intelligence.

Grant Boomer:


 * Grant is a Senior majoring in Computer Science, with a background in art and computer aided design, and interests in software program management.

Documentation
SRS (Software Requirements Specification)

SDD (Software Design Document)

Code repository

Presentations

 * Design Review
 * Final (Technical)

Note: To achieve proper formatting for presentations, download and display in a PowerPoint.