1. 2.10: Hexiwear IoT Sensor System
Gregory Folker, Natalie Thornton, Marco Melecio
Sponsors: Gregory Camazut and Kenny Huang
Faculty Advisor: Dr. Stapleton

2. Project Overview
This project was focused on designing a smart alarm system using the Hexiwear IoT Development Kit from NXP Semiconductors. The system is designed to detect a multitude of gases present in the air and display relevant information on a small display as well as transmit the collected data to an iOS/Android phone application.

3. Project Motivation
According to the Occupational Safety and Health Administration, in the year of 2014 an estimate of 4,821 employees were killed on the job within the USA.
390 employees died from exposure to harmful substances of environments.
This project is a prototype for an IoT system that would be able to continuously collect and record that data for preventative use while simultaneously acting as an alarm system
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4. Top-Level Block Diagram

5. Design-Level Block Diagram

6. Alert State Diagram

7. The majority if the testing for this project was done via digital emulation as the entire project was entirely software based
Physical testing was performed once the entire software interface was verified to be working properly
Testing

8. Software Testing
Designing a software interface is not easy, and testing it isn’t any easier
All possible outputs from various inputs need to be observed along with all the overlapping components of the interface
All components of the interface were developed and tested separately before being integrated together

9. Physical Testing
The purpose of physical testing for this project was to ensure the analog to digital conversions were working properly and that the system was calibrated
This was done by exposing the system to different gases in a controlled environment and observing the numbers on the test screen

10. Results
The system is able to retrieve an analog signal, map it to a digital value, convert it to ppm, and display the corresponding value on the appropriate user interface screen.
Successfully transmits the converted value to the iOS/Phone application via low energy Bluetooth

11. Results Cont. Sets off low and high level alerts based on:
Values read in from the sensors
Average rate of change (ppm/sec)
Overall Average
Alert states consist of:
RGB LED changing color and flashing
Buzzer sounding
Dynamic text changing color

12. Results Cont.
Screens transition upon interaction with the buttons on the device to view all of the recorded and calculated values
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13. Future Work
Modify the existing Java code for the iOS/Android application to display the transmitted data in a more meaningful way for the user
Find a way to display the information on the cloud server with more accuracy
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14. Acknowledgements
We would like to acknowledge the following people for their generous amounts of time, knowledge, and assistance throughout the duration of this project:
Dr. Cecil Compeau- Instructor
Gregory Camuzat- Sponsor
Nate England- Research Associate
Kenny Huang – Sponsor
Mohit Kedia- Sponsor
Ms. Sarah Rivas- Administrative Assistant
Dr. William Stapleton- Faculty Advisor