Accuracy In Your Back Pocket Mid Semester Presentation October 13, 2015.
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Transcript of Accuracy In Your Back Pocket Mid Semester Presentation October 13, 2015.
![Page 1: Accuracy In Your Back Pocket Mid Semester Presentation October 13, 2015.](https://reader035.fdocuments.net/reader035/viewer/2022081603/5697c0141a28abf838ccd696/html5/thumbnails/1.jpg)
Accuracy In Your Back Pocket
Mid Semester PresentationOctober 13, 2015
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Team Members
Alex CampbellWireless ImplementationCPE
Maya GriffinImage ProcessingPower ImplementationEE
Lithopolis Miller (Leader)Application ImplementationHardware ImplementationEE
Freida CampbellWireless ImplementationWebsite Developer CPE
Panth PatelHardware ImplementationGraphic DesignerEE
Faculty Advisor : Dr.Ball● Image Processing
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Team Distribution
Freida Campbell Lithopolis Miller Panth Patel Alex Campbell Maya Griffin
Hardware Testing
✔ ✔ ✔Prototype Encasing
✔ ✔Application Improvements
✔ ✔Image Processing
✔ ✔ ✔
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Outline● Problem● Solution● Constraints
o Technicalo Practical
● System Overview● Hardware ● Prototype Encasing● Timeline
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Problem● Having to manually calculate target shooting scores and
decypher accuracy and precision of shots
● Process is slow and leaves room for greater human error in calculations
● Does not utilize modern day technology
● Cannot see target from far away
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Solution● Accuracy In Your Back Pocket resolves the burden of having
to occupy one’s time with miniscule and redundant calculations and analysis of shots taken
● This solution takes full advantage of readily available technology as part of the system which cuts down on extra equipment and cost
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Design Constraints
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Technical
Name Description
Power Supply The system under full operation must be capable of at least two hours of battery life.
Image Processing
The image processing software takes images from the camera and calculates accuracy within +/- 1 centimeter of the actual shot.
Microcontroller The microcontroller needs sufficient memory and processing power to save two images at a time from the camera and process computations.
Wireless Communication
The device must be able to transmit and receive data a minimum distance of 30ft.
Mobile Application
A mobile application will allow users to view pictures of shot data on a smartphone.
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Practical
Type Name Description
Manufacturability Components The system components are easily replaceable.
Economic Cost The expected retail price is $150 based on the competitive
price market.
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Manufacturability● Microcontroller peripherals must be easily replaceable
● Potential equipment failureso static electricity, humid environments, and harmful impacts
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Economic
● Entire product is competitively priced
● Additional peripherals are reasonably priced
● Part of what makes up our product the average user already owns(Cell phones or Tablets)
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System Overview
DC/AC Power
Raspberry Pi
Bluetooth
Mobile Application
Camera Target
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Improvements
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Improvements: Image Processing
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Hardware Setup
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Hardware Improvements
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Improvements: Mobile Application
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Improvements: Mobile Application
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Improvements: Mobile Application
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Improvements: Mobile Application
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Prototype Encasing
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Encasing
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Encasing
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Encasing
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Final Product Timeline● August : Research feasibility of camera options
● September : Started construction of housing unit
● October : Testing of new camera and mobile application features
● November : Finalize testing, complete final design
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Accuracy In Your Back Pocket
Mid Semester PresentationOctober 13, 2015