Engineering Projects/Attendance/Howard Community College/fall2012/fall2012/p2-503-zts

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Problem Statement[edit | edit source]

Understand what is going on with the attendance project. Also, integrate facial recognition with attendance spreadsheet.

Team Members[edit | edit source]

Taylor
Zeher
Thiam

Summary[edit | edit source]

For the facial recognition we had to focus on the different soft wares that was available. We first used the visual control that wasn't able to take motion detection pictures as we wanted them to. We then shifted our attention to the Yaw cam. With the Yaw cam we were able to take motion detection pictures and capture pictures to save on Picasa. Picasa was able to recognition individual faces in the pictures to be able to use it as an attendance.

Poster[edit | edit source]

Story[edit | edit source]

We downloaded both the yawcam and the visual control to test out its functions. By testing both of them we took the pictures for it to recognize the faces. Yawcam takes picture with motion.

Decision List[edit | edit source]

List all formal decisions made with links to their documentation such as a decision tree or decision matrix.

Material List[edit | edit source]

1. List materials used, quantity, size, cost.
2. Describe what needs to be purchased in the future to continue working on this project.

Software List[edit | edit source]

You installed different software packages or used already installed software. Describ the programs here.

Time[edit | edit source]

40 hours

Tutorials[edit | edit source]

All projects create new tutorials of technical details future participants are going to want to know. They are going to be separate pages that are linked to here.

Next Steps[edit | edit source]

List specific details, advice, describe the current problems that the next team faces associated with the project here.