PRELIMINARY DESIGN REVIEWHiMax: Facial BiometricsWith a CogniMem Device

(Neural Processor)

Presentation Overview:

Team and Member Introduction Brief Project Overview Approaches

– Phase 1– Phase 2– Phase 3

Possible Problems (guarantee there will be some!) End of Semester Project Goals Project Timeline Presentation Summary References Q&A session

Advisor: Dr. Tep DobrySub Advisor: Dr. Neil ScottDr. Winyu Chinthammit

Members: Raymundo Flores James Cuaresma

PRELIMINARY DESIGN REVIEWHiMax: Biometrics

With a CogniMem Device(Neural Processor)

Project Overview:

This technology is fairly new, so we propose:

1. Research methodology for an “efficient training” of the CogniMem Neural processor.

2. Concurrently, develop “reproducible procedures” for a "high-level confidence" for “Facial Biometric recognition” application in a static physical environment.

3. As needed, create hardware interface with the device; develop software for a particular application.

Block Diagram:Controlled Environment Diagram

Side View

Top View

Standard Settings: - Method of training: Easy-Video Recognition - Image Recognition Type: Moderate - Region Of Interest (ROI): (244,126)-(208,195) - Light elevations: 65.5”

Variable Settings - Refer to Scripted Matrix Call-out

Block Diagram:Controlled Environment – Scripted Matrix Call-out

TEST 1: Lighting Variation Effect

Block Diagram:Controlled Environment – Scripted Matrix Call-out

TEST 1: Lighting Variation Effect (Continuation)

Block Diagram:Controlled Environment – Scripted Matrix Call-out

TEST 2: External Facial Accessories Variation Effect

Block Diagram:Controlled Environment – Scripted Matrix Call-out

TEST 3: Facial Change and Facial Emotions Variation Effect

Block Diagram:CogniMem Device and Applications

Block Diagram:CogniMem Device (Details)

Block Diagram:Laptop Temporary Setup & Training (CogniSight Control Panel)

Approaches:

Phase 1 (Completed) Create a “controlled environment” to characterize the Biometric limits of the

CogniMem device with respect to known environmental changes (more elaboration is just a sec).

“Lesson learned “ comprehensive review of result (in-progress).

Phase 2 With lesson learned in Phase 1: Will implement a controlled-group “open

environment” characterization/testing of the device (more elaboration is just a sec).

Phase 3 Verification and “variable-environment” testing of the controlled-group (8

individuals) to the general population False-Positive

Control group (thru external facial manipulation) to deceive & create “Positive Unknown” identification

Phase 1: Results

Result Discussion:o Lighting Variation Effectso External Facial Accessories Variations

Effecto Facial Changes Effectso Facial Expression Effects

Phase 1: Lesson Learned

o Perform training with “sufficient lighting”o “Zoom-in” ROI size to facial contour.o If possible, set camera configurations to

“manual mode” (i.e. shutter speed, gain, etc.)o First neuron committed should be on the

background environment.o CogniMem device is somewhat unstable.

- Froze 3X (after 10, 2 & 40 minutes of operation).

- Uncontrolled neuron assignment.

What’s next?Phase 2 & Phase 3

Phase 2With lesson learned in Phase 1: Will

implement a controlled-group “open environment” characterization/testing of the device (more elaboration is just a sec).

Concurrently, research cause for theo CogniMem to “freeze”o Uncontrolled neuron assignmento USB port assignment erratic

What’s next?Phase 2 & Phase 3

Phase 3Verification and “variable-environment”

testing of the controlled-group (8 individuals) to the campus general population False-Positive

Control group (thru external & facial manipulation) to deceive & create “Positive Unknown” identification

Problems (Yes, we have them):

Hardware & Softwareo CogniMem to become unresponsiveo Uncontrolled neuron assignments

(without any keyboard or mouse activity); normally happens right after the CogniMem device becomes unresponsive.

o USB port assignment erratic

End of Semester Project Goals:

Our projected goals are to: Develop efficient training methodology of the CogniMem

device. Develop “reproducible procedures” for a "high-level

confidence" Biometric recognition training. Have a working model for a static Facial Biometric

identification that is reliable. Hopefully, find solutions to the hardware and software

problems we are experiencing to have a more stable system.

EE496: Lay the ground-work for a “dynamic” Facial/Body Biometric follow-on project.

Project Timeline

  9/15-9/26 9/27-10/10 10/11-10/24 10/25-11/7 11/8-11/21 11/22-12/5 12/6-12/12

Presentations              

Proposal  Complete            

PDR    Complete  Complete        

CDR              

Final              

               

Tasks              

Obtain Lab  Complete            

Set up Lab  Complete            

Familiarize with  Complete   Complete          

Cognimem (James)  Complete   Complete          

Paliminary testing     Complete   Complete        

Training on volunteers     Started        

Known to unknown  ratio testing  

?Any Questions?