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HiMax: Characterization of the
CogniMem Device
EE x96 Preliminary Design Review
Advisor: Tep Dobry
Sub Advisor: Neil Scott
Members:
Raymundo Flores EE 296
Darnel Balais EE 496
Presentation Overview:
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Team and Member Introduction
Brief Project Overview and Background
Approach
Project Block Diagram
Controlled Environment Diagram
CogniMem Device Diagram
Problems
End of Semester Project Goals
Project Timeline
References
Team and Member Introduction:
HiMax Group:
 Communication and Information Sciences,
UH Manoa
–

Develop and research applications using the Cognimem Chip.
Department of Electrical Engineering - UH Manoa
–
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Develop and research baseline characteristic of the CogniMem
Neural Processor.
Create hardware and develop software
for baseline characterization.
Darnel Balais: Software Programmer
Raymundo Flores: Hardware
Project Overview:
This technology is fairly new, so we propose to
develop:
1. Procedures to accurately train the Neural Processor,
2. Baselines for "high-level confidence" for pattern
recognition for a given physical environment.
3. (For follow-on X96 Project), an application that uses
the CogniMem Neural processor, with a "built-in"
camera, as an autonomous pointer that identifies
any painting / object in a museum setting. The
camera, then can be used to communicate to an
ultra portable PC via broadband that gathers
information about the identified painting.
Project Background:
Image Recognition Board
www.recognetics.com
CogniMem 1K Specs
- Patented parallel
architecture
- 1024 Parallel neurons
- Unlimited neural network
expansion
- Trained by example
- Low power consumption
Approach:


Fabricate a mini-museum setting that
includes a picture inside a frame that enables
us to test the CogniMem processor/camera
pattern recognition (imaging) capabilities.
Develop a program that trains the CogniMem
camera to identify and view images from any
angle, orientation and distance.
Project Block Diagram:
CogniMem Device
Controlled Environment
Controlled Environment
Diagram:
Human Generated
Computer Generated
CogniMem Device
Diagram:
Problems:

Hardware and software has only been recently
developed and product knowledge is still limited at
this time.
–
–

Help can easily be attained from Research Assistants within
the HiMax Group.
Weekly meetings
Hardware is very expensive and reacquiring a new
chip and camera may take a long time.
–
–
Take special care of equipment.
Backup Device
End of Semester Project Goals:
Our projected goals are:
 To develop "high-confidence level"
characterization of the CogniMem processor
with respect to distance, orientation, and
image complexity.
 Have a working device for a museum
application.
Project Timeline
Presentation Summary:
Key Technology: CogniMem Neural Processor (1024 parallel neurons)
Method of Modeling:
 Learn and build knowledge by example vectors (i.e. camera,
microphone).
 No cumbersome programming required.
Challenges:
 Fairly new technology
 Minimal data/information available
 Lay "ground" work for future applications
Main System Diagrams:
 Controlled Environment
 CogniMem Device
References:
1.
2.
3.
http://wiki.roadnarrows.com
- Distributer
http://www.general-vision.com
- Researchers
http://www.recognetics.com
- Developers
?Any Questions?