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Dehydration Monitor Team 2 Kevan Chao Brandon Clark Alexandra Deal Ian Gunn Samaria Mitchell Dan Schlegel.

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Presentation on theme: "Dehydration Monitor Team 2 Kevan Chao Brandon Clark Alexandra Deal Ian Gunn Samaria Mitchell Dan Schlegel."— Presentation transcript:

1 Dehydration Monitor Team 2 Kevan Chao Brandon Clark Alexandra Deal Ian Gunn Samaria Mitchell Dan Schlegel

2 Presentation Outline Problem Identification Customer Requirements and Tech. Specs. Alternative System Concepts CAD Diagrams Subsystem Breakdown Validity of Tests Future Design Modifications

3 Customer Requirements and Performance Specifications Customer Requirement # Technical SpecificationsTarget Values/ Range of ValuesActual Value/ Range of Values 1 Accuracy and Precision99% reproducibility Accurate within 3% of hydration levels 99.213% accuracy 2 Generated force by pressure device <2 lbs. 3 Amount of chemicals or hazardous waste 0 lbs. of hazardous waste and chemicals 4 Blood drawn0 cc 5 Number of buttons1 – start button 6 Time to complete testing< 10 seconds 7 Font sizeSize 24 on laptop screen 8 Time can be exposed to certain weather conditions before damage to system Lasts over 5 minutes 9 Low power consumption8 Watts5 Watts 10 SizeExcluding laptop fits within 9” x 9” x9”3.5” x 4” x 4.5” box, excluding laptop

4 Problem Identification Dehydration – Causes effects such as nausea, headaches, increased respiratory rate, and weakness – Measured as a percentage (weight of fluid lost)/(maximum fluid weight in body) – Major concern for endurance athletes and students in ROTC – 2% dehydration decreases performance – Concern for all persons – 5% dehydration requires hospitalization Market Competition – No current product on the market accurately displays dehydration levels based on actual user levels

5 Alternative System Concepts Sow Machine Concept – Bulky – Unsafe – Needed to design a servo system to push dowel Pros – Inexpensive

6 CAD etc.

7 Final Concept Box Design Concept – Unaesthetic Pros – Simple[servo] – Relatively Inexpensive – Durable

8 CAD etc.

9 System Function Overview Start code Call Arduino from Matlab Call Matlab function Test Begins Base Image Captured Pressure applied by servo Return servo to starting position Comparing Images Capture sequence of images Pixel-by-Pixel comparison Compare to threshold (25%) Output Dehydration level based on frame campture Consult chart to rehydrate

10 Pressure Delivery Original plan was for dowel system Changed plan to direct servo application – Fewer moving parts – More controllable Rotates 135 degrees and holds position Goes down slowly, comes back quickly

11 Image Comparison Switched from C++ and Grayscale Used Mat-Lab and Color – Built in image acquisition tools – Can interface easily with Arduino – No need to convert to grayscale Performs calculations just as fast regardless

12 Image Comparison Cont. Get baseline image Start video Grab fames out of the video Compare frames to baseline Determine time for fingernail to return to color

13 Validity of Tests

14 Validity of Tests cont.

15 Questions?


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