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

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Presentation on theme: "Tri-Rig Facial Capture Nick Johns, Ashley Kaufman, Chris Suever."— Presentation transcript:

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

2 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.

3 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

4 System Architecture  Level 0 – Overall Architecture

5 Overall Architecture ModuleOverall Architecture InputsUSB, Ethernet Cable, HDMI Micro USB Power Port: 700 mA, 3.5 W, 5V DC OutputsMini HD Display Monitor, HD Display Monitor FunctionalityAcquire images from Raspberry Pi through commands sent from host computer to the network switch.

6 Level 1 Architecture

7 Raspberry Pi ModuleRaspberry Pi InputsCanon 5D EOS Mark III Camera Power: > 250 mA OutputsEthernet Cable FunctionalityServes as the connection between the cameras and GUI. Allows for commands to be sent from GUI to camera to take and save pictures.

8 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

9 System Details Context Diagram

10 System Details cont. Sequence Diagram

11 User Interface

12 User Interface cont. Connect Enter ID System GUI

13 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.

14 System Demo

15 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.

16 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.

17 Questions?


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