PROJECT STATUS UPDATEP10661-AERIAL IMAGINGDale Turley (Mechanical Engineering)

www.storaenso.com

Project Status Update• Project Name Aerial Imaging System• Project Number P10661• Project Family Open Architecture, Open Source Aerial Imaging Systems• Track Printing and Imaging• Start Term 2010-1 planned academic quarter for MSD1• End Term 2010-2 planned academic quarter for MSD2• Faculty Guide Dr. Pratapa Reddy, Professor in Computer Engineering• Tech Support Mike Walsh• Primary Customer Dr. Carl Salvaggio, College of Imaging Science

Mission StatementThe overall product is a visible spectrum imaging system for the use with an unmanned aerial vehicle. The specific task under development is an image calibration system and procedure to be used by researchers in the College of Imaging Science, to effectively and efficiently collect aerial data.

Key Business Goals:•This product is to replace existing data collection methods.•To give the customer the ability to launch and collect data on-demand and to choose the usage based on specific situations.•Reduce the cost associated with current collection processes.•Pre-processing of images will eliminate the need for expensive and timely post-processing in a lab.

Markets/StakeholdersPrimary Customer:The primary market for this product is the RIT College of Imaging Science.Secondary Markets:Secondary markets for this imaging system may include emergency response agencies where the product could be applied for search & rescue or in firefighting. Law enforcement agencies could use this product for drug eradication.

Stakeholders:•R09560 - Open Architecture, Open Source Aerial Imaging Systems •College of Imaging Arts and Sciences •Kate Gleason College of Engineering •Law Enforcement Agencies •Fire Departments•Public Safety

Current State of Design

Camera Controls and Power Vibration Isolation System

Images from P09561 Design Review Presentation

Customer InterviewDr. Carl Salvaggio - Primary Customer

•Imaging scientists are always starved for data• Current data collection systems use manned aircraft which are

very expensive and logistically inconvenient•System needs to be robust enough to accompany different spectral imaging devices• Type of image depends on the mission

•System needs to be small and light enough to be carried by RIT UAV(unmanned aerial vehicle)•Calibration can allow for imaging scientists to measure energy directly from an image to interpret data immediately•On-board calibration will ultimately increase data quality and decrease cost associated with the equipment

Preliminary RoadmapA

eria

l Im

agin

g Sy

stem

Platform

Vibe

Control

Camera

Calibration

Aluminum Platform

(includes DAQ + power)

Passive Vibration Control

Visible Spectrum

Ground Based

Aluminum Platform

(include calibration device)

Visible & Thermal IR

On-board Visible Calibration

Cost and Mass Reduction

Cost and Mass Reduction

P09561 P10661 Phase 3 Phase 4

Composite Platform

Active Vibration Control

On-Board Thermal IR Calibration

Multi-Spectral Cameras

Wireless Short range

WirelessLong Range

RF Down LinkNo Wireless

Interface

Affinity DiagramFunctionality

Visible CalibrationTemperature ControlData StorageCamera ModularityFlight ParametersPassive Vibration Control

ConstraintsWeightSizeBudgetAvailable Equipment

StructuralFrameCalibratorCameraGimbalCasing

CostCamera TypeMaterialsNIST EquipmentMaintenance

DesiresReduce WeightReduce SizeIncrease StorageStable PowerEasy User InterfaceRobust Design

CalibrationStable PowerNIST LampSecondary LampsAutomatic UpdatingTime to Calibrate

Interpreting Customer Needs

Need

Need Statement Measure of Effectiveness

Min Nom Max

1 Image measurements

Watts TBD

2 Data Storage gigabyte 32 128

3 Transfer Rate Mb/sec 5 404 Low cost flight time Dollars/

Hour0 800

5 Lightweight Lbs 5 106 Dimensions Inch 4x4x

66x6x8

7 Modularity # of cameras

1 Multiple

8 Stable power source Volts 5 159 Thermally stable Deg C TBD

Objective TreeUAV Imaging

System

Structure Scope

Economics Technical

Robust

Rugged

Inexpensive

Useful for researche

rs

Low productio

n cost

Low usage costLow

maintenance cost

Mechanical

Engineering

Electrical Engineeri

ng

Imaging Science

Frame

Power

Imaging Theory

SoftwareSimple

Measurements

Useful for public safety

agenciesObservatio

n Information

Computer Engineeri

ng

Storage

Function TreeUAV Imaging

System

Calibration

Camera System

Data Storage

Software System

Power

Software System

Hardware System

Quality of Data

Visible Thermal IR

Processing Power Capacity Reliability

Subsystem Controls

User Interface

Camera Controls

Stable

Provide Power for

Entire Flight

Short Wave

Long Wave

Preliminary House of QualityRelative Importance Results:

Engineering Metric Relative WeightCamera Modularity 23%Storage Capacity 15%Transfer Rate 2%Size 6%Weight 7%Operating Temp 7%Power Consumption 19%Cost 4%Energy Measurements 15%

Staffing Predictions

Subcomponent Technical Field Number of Students

Frame ME 2Software CE 1Electrical EE 2

Imaging Analysis IS 1Total 6

Future Plans

•Continue to build on needs, interpreting needs, and identifying relative importance•Observe parent MSD2 team• Lessons learned• Advice

•Meet with other individuals important to the project• Jason Faulring (computer engineering grad student)• Jan VanAardt (head of Laboratory for Imaging Algorithms and

Systems)•Attend RIT Innovation Festival•Attend P09561 design review•Develop action plan for MSD1 to address how the team will engage the design process• Concept development

•Sanity check

Sources

https://edge.rit.edu/content/P09561/public/Home

https://edge.rit.edu/content/R09560/public/Home

Questions