Tri-Rig Facial Capture Nick Johns, Ashley Kaufman, Chris Suever.

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Tri-Rig Facial Capture Nick Johns, Ashley Kaufman, Chris Suever

Transcript of Tri-Rig Facial Capture Nick Johns, Ashley Kaufman, Chris Suever.

Page 1: Tri-Rig Facial Capture Nick Johns, Ashley Kaufman, Chris Suever.

Tri-Rig Facial Capture

Nick Johns, Ashley Kaufman, Chris Suever

Page 2: Tri-Rig Facial Capture Nick Johns, Ashley Kaufman, Chris Suever.

Problem Statement

The FBI Biometric Collection currently uses a system that collects facial profile pictures of participants from different angles for facial recognition research purposes. The participant must rotate 5 times from -90 degrees to +90 degrees in respect to a camera with their eyes open and closed for a total of 12 pictures.

Our system was designed for TwinsDay (a weekend convention held yearly to collect biometric data specifically for twins) to facilitate the ease and speed of the collection process by using three separate cameras. The participant rotates twice instead of 5 times. The process takes about half the time as the original system, and utilizes a user friendly GUI.

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Goals and Objectives

Connect host computer to three (3) Raspberry Pis using SSH through network switch.

Retrieve Random ID Number

Implement Live-View

Capture Facial Images

Re-take Images

Settings

Save

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System Architecture

Level 0 – Overall Architecture

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Overall Architecture

Module Overall Architecture

Inputs USB, Ethernet Cable, HDMI

Micro USB Power Port: 700 mA, 3.5 W, 5V DC

Outputs Mini HD Display Monitor, HD Display Monitor

Functionality Acquire images from Raspberry Pi through commands sent from host computer to the

network switch.

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Level 1 Architecture

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Raspberry Pi

Module Raspberry Pi

Inputs Canon 5D EOS Mark III Camera

Power: > 250 mA

Outputs Ethernet Cable

Functionality Serves as the connection between the cameras and GUI. Allows

for commands to be sent from GUI to camera

to take and save pictures.

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Technology Highlights and Innovative Ideas

Biometrics is one of the fastest growing technologies in today’s world.

Canon Mark III Cameras, Raspberry Pis, HD Monitors , Network Switch – All technologically advanced hardware

Developed for FBI Facial Recognition Research purposes

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System Details

•Context Diagram

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System Details cont.

•Sequence Diagram

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User Interface

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User Interface cont.

•Connect

•Enter ID

•System GUI

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Actual Accomplishments

We were able to incorporate all of our original goals into our system. This includes: SSH connection, ID retrieval, capture image, re-take images, settings, save, and live-view.

Live-view is faulty, but we still added it as a part of our project so it can be built upon in the future.

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System Demo

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Future Development

As previously stated, live-view can be built upon to ensure 100% accuracy with the system.

A unified tri-rig could be built that holds all three cameras on the same device to allow for a cleaner looking system. It would also allow for the cameras to be at equal height without having to measure them on separate tri-pods.

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Business Potential

Because this system was built for research purposes, we haven’t looked into any business potential at this time.

Although the FBI owns the equipment used in this system’s design, we could redesign a system with new hardware using the software we developed if we ever decide to take our project further.

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Questions?