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/
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