You’ve Got
SARS!!
Group 6
Brent Anderson
Lauren Cutsinger
Martin Gilpatric
Michael Oberg
Matthew Taylor
Capstone Spring 2006
Presentation Outline

Project Overview

Implementation

Hardware

Software

Project Organization

Risk and Contingency
IR in Medical Applications

First-Pass Diagnostic Tool



Research



Soft tissue injuries
Circulatory Problems
Biological response to low frequency appliances
Physical exercise and hypothermia research
Passively screen for a selection of biological agents



Quick response to possible pandemics
Airports, office buildings and other mass transit areas
SARS detection in several airports
 SARS begins with a fever greater than 38°C (100.4°F)
Project Overview

Design an infrared tracking system that
will control a motorized camera platform.

Track infrared image of person.

Display IR image.

Determine temperature of person for
possible disease detection.
Thermopile Temperature
Sensors
Multiple thermocouples in series that
provide an extremely sensitive IR sensor.
 Bulky and expensive compared to other
types of IR sensors.

So Why Thermopiles?

Breakthroughs in
Manufacturing process.





Lower cost
Much smaller footprint
Very accurate at –50 to
450 ° C
Correct spectrum for
Heat
Comes in a 32x32 array!
System Overview
SPI
PWM
SPI
SPI
Major Components
IR Camera
 PIC Processors
 Camera Mount
 Motors
 PCB
 Output (PC)

Serial
Hardware
Processors
1.
Dual PIC18F4550
Motors
1.
Stepper Motors
Controllers
2.
Camera Mount
1.
2.
4 Layer PCB
1.
2.
3.
Camera
1.
Lynx-B BPT-NS
Dual axis
Power & GND planes
Lower Noise
Allow for high speed
48MHz
ATX25C mini core
Why PIC18F4550

Harvard Architecture


Built in SPI interface






Camera
PIC communication
Two PWM Channels for Stepper Motors
Development Environment


Simultaneous data and program memory access
On Chip Programmer
48MHz clock
2 UARTs for computer communication
USB 2.0 Interface (optional)
Why ATX25C?

Thermopile 32x32 Array
Low Resolution allows for faster data
crunching.
 Provides enough data for human detection.


SPI Interface

Compatible with PIC18F4550
Why Stepper Motors

High precision


Compatible With PIC18F



Up to 1.5 degrees of accuracy
PWM signals
Low cost for precision
Easy positioning
Software Outline

Tracking Algorithms
“Hot Spot” Detection
 Edge Detection


Motor control


On Chip Pulse Width Modulation (PWM)
Display

Comunication with a PC for display and
control.
Targeting Software Goals

Identify the portion of the picture
containing the face of the subject.
Tracking Demonstration
Averaging
•Averages are taken along both
the horizontal and vertical axis.
•The highest value of these
averages indicates the hottest
cross section in each dimension.
•The intersection of these cross
sections should be the center of
the warmest body. In this case
we are hoping that this body will
be the face of the subject.
Tracking Demonstration
Differentiation
•By differentiating the cross section
averages generated in the previous
method these plots can be
generated.
•The peaks of these plots indicate
the planes where there has been
the greatest change in value.
•This method will find the boundries
of what should be the head of the
subject.
Interface

Motor control


Interacting with onboard PWM for use with
motor control logic.
Display data via a PC
UART connectivity with a Linux machine to
display pertinant information and raw data.
 Possibility of screen capture.
 Possibility of future additions though PC
based processing.

Project Goals and Constraints

Baseline Objectives

Advanced Goals


USB2

Advanced Display and User Interface

Printing
Constraints and Contingency Plans
Baseline Objectives

IR Camera <-> SPI bus w/ two
µcontrollers

Real-time processing of incoming data
stream at 10 Frames Per Second


Dynamic image tracking

Determine and record temperature data
UART Data stream to PC
Baseline Objectives (Cont)

PC Client software for User
Interface and Control

Display of RAW Camera Data

False Color Representation
with Heat Distribution

Summary Statistics and
Indication of Abnormal Temp
Advanced Goals and Extensions

USB2 for data transmission, using
UART for control

Improvements to PC Software

Image Interpolation

Additional Controls

Pause

Screenshot

Print Screen
Project Constraints
Airport Usage
Tracking a single hot-spot (no crowds)
 Limits on tracking speed.
 Target must be within predefined distances
(lens specific)
 PERSON MUST WEAR CLOTHING!!!!

Face must be exposed.
 Heavy clothing preferred.

Hardware Constraints
Timing data on the SPI bus for
communication between two processors
 UART speeds.
 Camera Resolution



Will 32x32 resolution provide accuracy?
Image Processing Speed


Can we processes 10 FPS
Smooth Motor Control
Risks and Contingencies

Parts Delivery


Difficulties with optics



IR Camera: Can use CCD which supports SPI
Software workarounds / mods to core algorithms
Replacement optics
Inability to process data flow in real-time



Slow the data, lower the frame rate
Stage the data with external RAM components
Add additional micro-controllers and design parallel
processing
Team Planning
•
•
•
•
Cost of Implementation
Individual Member Tasks
Team Milestones and Goals
Questions?
Costs
Camera
Lens
Camera mount
4-layer PCB Rev 1
4-layer PCB Rev 2
Misc. Electronic parts
Processor Programming Hardware
Motors
$
$
$
$
$
$
$
$
850.00
150.00
25.00
125.00
125.00
200.00
100.00
50.00
Total: $ 1,625.00
Tasks
Team
Member
Brent
Main Tasks
•
•
Lauren
•
•
Martin
•
•
Michael
•
•
Matthew
•
•
Core Chip Programming
Overall Product Design
PCB Layout
Mechanical Assembly
Targeting Software
UART Interfacing
Image Post-Processing
PC Client Interface
PCB Layout
Motor Interfacing
Timeline
Timeframe
Desired Deliverables
CDR
1.
2.
3.
Milestone 1
1.
2.
Milestone 2
Expo
Initial 4 Layer PCB Design
Reading Camera Data, Display
Basic Motor Control
4 layer PCB rev. 2
Basic Tracking
2.
Advanced Tracking
Basic PC Interface
1.
Complete PC Interface
1.
Questions?