Accuracy In Your
Back Pocket
Final Presentation
April 16, 2015
Team Members
Alex Campbell
Wireless Implementation
CPE
Freida Campbell
Wireless Implementation
Website Developer
CPE
Lithopolis Miller (Leader)
Application Implementation
Hardware Implementation
EE
Maya Griffin
Image Processing
Power Implementation
EE
Faculty Advisor : Dr.Ball
● Image Processing
Panth Patel
Hardware Implementation
Graphic Designer
EE
Team Distribution
Freida Campbell
Hardware
Lithopolis Miller
Panth Patel
✔
✔
Wireless Implementation
✔
✔
Application Development
✔
✔
Image Processing
✔
Alex Campbell
Maya Griffin
✔
✔
✔
Outline
● Problem
● Solution
● Constraints
o Technical
o Practical
● System Overview
● Working Prototype
● Testing
● Improvements
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
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
Design Constraints
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.
Practical
Type
Name
Description
Manufacturability
Components
The system components are
easily replaceable.
Economic
Cost
The expected retail price is
$300 based on the competitive
price market.
Manufacturability
● Microcontroller peripherals must be easily replaceable
● Potential equipment failures
o
static electricity, humid environments, and harmful impacts
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)
System Overview
Camera
DC/AC
Power
Target
Raspberry Pi
Bluetooth
Mobile Application
Working Prototype
Completed: Prototype
Completed: Camera Setup
Completed: Image Processing
Completed: Mobile Application
Completed: Mobile Application
Completed: Mobile Application
Testing Constraints
Testing: Transmission Distance
30
25
0
Testing: Plotting Points
Testing: Accuracy Within +/-1 cm
Testing: Power Consumption
Testing: Power Consumption
Future Improvements
● Move system closer to user
● Evaluate battery life of mobile application vs microcontroller
● Improvements on mobile application
● Add laser pointer(s) to align camera with target
● Create housing unit
● Make image processing code more robust
Accuracy In Your
Back Pocket
Final Presentation
April 16, 2015