Accuracy In Your Back Pocket

Mid Semester PresentationOctober 13, 2015

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

Team Distribution

Freida Campbell Lithopolis Miller Panth Patel Alex Campbell Maya Griffin

Hardware Testing

✔ ✔ ✔Prototype Encasing

✔ ✔Application Improvements

✔ ✔Image Processing

✔ ✔ ✔

Outline● Problem● Solution● Constraints

o Technicalo Practical

● System Overview● Hardware ● Prototype Encasing● Timeline

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 $150 based on the competitive

price market.

Manufacturability● Microcontroller peripherals must be easily replaceable

● Potential equipment failureso 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

DC/AC Power

Raspberry Pi

Bluetooth

Mobile Application

Camera Target

Improvements

Improvements: Image Processing

Hardware Setup

 

Hardware Improvements

 

Improvements: Mobile Application

Improvements: Mobile Application

Improvements: Mobile Application

Improvements: Mobile Application

Prototype Encasing

Encasing

Encasing

Encasing

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

Accuracy In Your Back Pocket

Mid Semester PresentationOctober 13, 2015