PROJECT STATUS UPDATE

P10661-AERIAL IMAGING

Dale Turley (Mech)

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 2009-1 planned academic quarter for MSD1

• End Term 2009-2 planned academic quarter for MSD2

• Faculty Guide Dr. Pratapa Reddy, Professor in Computer Engineering

• Tech Support Gerry Garavuso

• 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 surface data.

Camera Control

Power Supply

Frame

Project RelevancePrimary Customer:RIT College of Imaging Science

Imaging scientists need this product because:•Expensive to operate current systems (~$8000/mission)•Current imaging systems are large and need to be carried by small single engine airplanes and helicopters•The imaging system in conjunction with the UAV frame P10332 project will give researchers the freedom to launch and collect data on demand.

Visible CalibrationRadiometric calibration of camera using NIST lamp of known intensity

Calibration of the camera allows for the measurement of power of electromagnetic radiation at a surface, this is called spectral irradiance.

Irradiance due to solar energy is call insolation.

Insolation is a measure of solar radiation energy received on a given surface area in a given time.

When looking at a surface on the earth, this is the amount of solar energy that is reflected by the surface.

Applications of the Device•In construction used to predict building energy efficiency•Crop yields•To design buildings that are cool in summer and warm in winter•Location and size for solar power systems•Mosaic images to create a very high resolution map of a large area

•Take thermal images to aid in putting out forest fires•Detection of warm bodies for search and rescue

Staffing RequirementsTeam Member

Major Role/Duties

Team Lead ME Management and leadership to team. Mechanical expertise for mechanical systems.

Lead Engineer EE Provide leadership to team. Technical expertise in electrical systems and software.

Team member EE Technical expertise in electrical systems and software. Power consumption analysis.

Team member ME Mechanical expertise relevant to the calibrator mounting system.

Team member CE Integration of the calibration system with the microcontroller.

Team member CIS Provide expertise with camera hardware and calibration calculations.

3 Week Work BreakdownPerson Week 0-1 Tasks Week 1-2 Tasks Week 2-3 TasksME Introduce team to

project.Research calibration methods.

Begin design of calibration mounting system.

ME Attend meetings, share experience with mechanical systems.

Become familiarized with current visual imaging system.

Begin design of the calibration mounting system.

EE Attend meetings, share experience with electrical systems.

Research calibration methods.

Begin design of the power distribution system.

EE Attend meetings, share experience with electrical systems.

Become familiarized with current visual imaging system.

Begin to develop commands needed to control system.

CE Attend meetings, share experience with computer programming.

Decide on a software platform and familiarize with current software.

Begin design of development board and microcontroller software.

CIS Attend meetings, share experience with imaging for scientific purposes.

Research calibration methods.

Determine bulb intensities and target spectral range

Required ResourcesPeople

Places

Things

Tech Support – Dr. Reddy CE

Tech Support – Dr. Salvaggio CIS

MSD Workspace 4th Floor

LIAS LAB

DIRS LAB

Access to PRO-E CAD

WASP, MISI

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

Objective TreeUAV Imaging

System

Structure Scope Economics Technical

Robust

Rugged

Inexpensive

Useful for researchers

Low production

cost

Low usage cost

Low maintenan

ce cost

Mechanical Engineering

Electrical Engineering

Imaging Science

Frame

Power

Imaging Theory

SoftwareSimple

Measurements

Useful for public safety

agencies

Observation Information

Computer Engineering

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

House of Quality

Customer RequirementsCustomer Weights

Modularity

Storage Capacity

Data Transfer Rate

Size/Dimensions

Weight

Operating Temperature

Power ConsumptionCost

Lamp Intensity

Camera System Modularity (Multiple Spectrum systems) 9 9     3 3 3 9 9  Robust design 3 9 3   3 3 9 3 3  Low Cost flight time through use on UAV 9   3 3       3 9 3Lightweight 3       3 9        Compact 3       9          Clear Images 3 3   1     1 1   1Ability to map area with proper image overlap 3   9 9       3    Calibration of system 9 9 3 3     3 9 3 9Flight parameter data 1 3   3            On board image processing 3 3 3 9       3 1 9

Raw score 210 99 114 72 63 84 219 201 138

Relative Weight 18% 8% 10% 6% 5% 7% 18% 17% 12%

Target SpecificationsNo. Spec Measure of

Effectiveness

Min Nom Max

1 Image measurements Watts/m2 TBD

2 Data Storage Gigabyte 32 128

3 Transfer Rate Mb/sec 5 40

4 Low cost flight time Dollars/Hour 0 800

5 Lightweight Lbs 5 10

6 Dimensions Inch 4x4x6 6x6x8

7 Modularity # of cameras 1 Multiple

8 Stable power source Volts 5 12 15

9 Thermally stable Deg F 23 113

Risk AssessmentRisk Consequence Probabilit

ySeverity Overall Contingency

Team member unexpectedly unavailable

Inability to complete portions of project

L H M Have at least two members of team familiar with any particular part of the project at all times.

Insufficient skills Unable to complete individual work

L H M Work with a faculty member to complete work.

Bad team dynamics

Decreased productivity M M M Hold members to team norms and values

Long lead times Unable to implement design

M M M Order parts from suppliers well in advance

Plane crashes with system on board

Prototype get destroyed M H H Document everything to make a rebuild easy

Weight exceeds the maximum for the UAV

UAV too heavy to safely fly

L H M Use lighter material for construction

Calibration bulb burns out of get destroyed

Unable to do calibration L M L Order extra replacement bulbs

Moving ForwardThis project will be successful if:•Able to integrate with UAV systems•Able to calibrate camera in the air•Able to take a calibrated image•Reduced cost from current solution

At the conclusion of this iteration of the project the aerial imaging system should be able to have:•Passive vibration control•Onboard visible spectrum calibration•Removable storage device•Autonomous data acquisition

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

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

http://www.cis.rit.edu/~lias/wasp/

Questions