ECE497 Project Web Face Recognition

Team members: Yvette Weng, John Wang

Grading Template
I'm using the following template to grade. Each slot is 10 points. 0 = Missing, 5=OK, 10=Wow!

 00 Executive Summary 00 Installation Instructions 00 User Instructions 00 Highlights 00 Theory of Operation 00 Work Breakdown 00 Future Work 00 Conclusions 00 Demo 00 Late Comments: I'm looking forward to seeing this.

Score: 10/100

(Inline Comment)

Executive Summary
The goal of this project is to use webcam to capture face and compare with the database to identify the person. We will use Microsoft's face API to compare the photos. The database will contain students' photos in ECE497. Once the identity is found, the student's name will be displayed on LCD.

Give two sentences telling what works.

Give two sentences telling what isn't working.

End with a two sentence conclusion.

Packaging
If you have hardware, consider Small Build, Big Execuition for ideas on the final packaging.

Installation Instructions
Give step by step instructions on how to install your project.

Here is the github repository: github.
 * Be sure your README.md is includes an up-to-date and clear description of your project so that someone who comes across you git repository can quickly learn what you did and how they can reproduce it.
 * Include a Makefile for you code.
 * Include any additional packages installed via apt.
 * Include kernel mods.
 * If there is extra hardware needed, include links to where it can be obtained.

User Instructions
Once everything is installed, how do you use the program? Give details here, so if you have a long user manual, link to it here.

Highlights
Here is where you brag about what your project can do.

Include a YouTube demo.

Theory of Operation
Give a high level overview of the structure of your software. Are you using GStreamer? Show a diagram of the pipeline. Are you running multiple tasks? Show what they do and how they interact.

Work Breakdown
Finished:

Face API works with picture URL. -- John Wang & Yvette Weng.

Face API works with local pictures using the picture's path. -- Yvette Weng.

Webcam is able to capture pictures. -- John Wang.

To be finished:

Set up database (as many photos as possible). -- John Wang.

LCD display. -- Yvette Weng.

Use button to send signal to capture pictures. -- John Wang & Yvette Weng.

Future Work
Suggest addition things that could be done with this project.

Conclusions
Give some concluding thoughts about the project. Suggest some future additions that could make it even more interesting.