This document provides an overview of a project to develop a machine-to-machine communication device for medical applications and disaster management. It discusses: 1) The literature review on existing M2M systems for medical consultation, smart metering, and context awareness. 2) The proposed system which would measure a person's pulse/heart rate or temperature and send the data over LAN to a monitoring device to analyze for threshold levels and prevent intoxicated driving. 3) The implementation progress including running image processing on a Raspberry Pi over LAN, testing GPIO input/output, and establishing communication between the Pi and laptop.

1. MACHINETO MACHINE
COMMUNICATION DEVICE
DEVELOPMENT FOR MEDICAL
APPLICATIONS AND DISASTER
MANAGEMENT
Dikshya Shree Rath
Department of Electronics and Communication
National Institute of Technology, Rourkela

2. OVERVIEW
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• Literature Survey
• Introduction to M2M :
 What is M2M?
Why M2M?
Concerns and issues of M2M
M2M architecture
Applications
• Software used and System Requirements
• Hardware used
• Proposal
• Implementation till now
• Block Diagrams and Results

3. LITERATURE SURVEY
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• DavidJ. Foran and Laura A. Goodell and Robert L.Trelstad,” A Distributed System for Medical
consultation and Education” Member, IEEE May 1, 2004
• Luca Bedogni,AngeloTrotta, Marco Di Felice, Luciano Bononi , ”Machine-to-Machine
Communication overTV White Spaces for Smart Metering Applications” , Department of
Computer Science and Engineering, University of Bologna
• Gil-Yong Lee,1 Nam-YeolYun,1 Sung-Chul Lee,2 and Soo-Hyun Park “A Smart ElectronicTagging
System Based on Context awareness and Machine-to-Machine Interworking“Accepted 9 August
2013(Research article)
• Kwang-ChengChen , Shao-Yu Lien “Machine-to-machine communications:Technologies and
challenges” 16th march 2013
• White Paper on "Machine-to-Machine Communication (M2M)”

4. What Is M2M?
Machine to Machine (M2M) refers to technologies that allow both
wireless and wired systems to communicate with other devices of
the same type.
M2M uses a device (sensor, meter, etc.) to capture an ‘event’
(temperature, inventory level, etc.), which is relayed through a
network (wireless, wired or hybrid) to an application (software
program), that translates the captured event into meaningful
information
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5. WHY M2M??
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• Stay connected with your technical devices and
systems
• Remote management, monitoring and
notification capabilities
• Automate and optimize processes
• Monitor present conditions
• Identify critical situations

6. 6
• The M2M System should be flexible in
supporting more than one naming scheme.
• Dealing with increased security threats and
vulnerability.
• Expenses need to be minimized.
• Maintenance and continuous monitoring.
CONCERNS AND ISSUES OF M2M

7. M2M ARCHITECTURE
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8. APPLICATIONS
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• Security
• Tracking &Tracing
• Payment
• Health
• Remote Maintenance/Control
• Metering
• Manufacturing
• Facility Management

9. 9
SOFTWARE USED
SIMULINK R2013B
Simulink developed by MathWorks is a dataflow graphical programming
language tool for modelling, simulating and analyzing multidomain dynamic
systems.
SYSTEM REQUIREMENTS
• MATLAB R2013b installed with the Simulink support packages for Raspberry Pi
downloaded and configured
• Raspberry Pi with the OS (Raspbian wheezy) booted in the SD card
• Ethernet cable and Micro SD card.

10. 10
HARDWARE USED
RASPBERRY PI
Raspberry PI is a credit card sized single board computer developed by
Raspberry PI Foundation, UK
Features:-
• 700MHz Processor
• 256 Mb RAM
• Level 2 Cache is 128Kb
• Ethernet port available
• 2 USB ports
• HDMI port

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13. PROPOSAL:MODEL AND APPLICATION
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• To design a Machine to Machine device that will take data from the
pulse/heart rate or temperature of a human being measured and sent to one
monitoring device via LAN as digital data and the samples will be analysed for
a threshold level .
• If it exceeds it then person will not be allowed to drive the vehicle for these
results will be compared with the parameters of a human body after alcohol
consumption.This incorporates medical and disaster applications both.
• The data can be sent to medical professionals at the back end and the person
can be warned of the health hazards as well as incorporating this will regulate
and reduce the number of road accidents that take place due to reckless and
drunk driving .

14. 14
IMPLEMENTATIONTILL NOW
• Installation of support packages for Raspberry Pi in Simulink.
• Configuring the Raspberry Pi to the Electronics Department Internet Network.
• Running the image inversion algorithm in Raspberry Pi. Captured the image on my
laptop, connected USB webcam on Raspberry Pi and sent the image to this cam
via Simulink model and LAN.
• Took output from the GPIO (General purpose Input output) pins and
checked the voltage and glowed a LED
• Gave input to the GPIO pins via a button and tried to check the output of
another pin

15. 15
Taking output from a GPIO pin and giving to LED
Giving input to one GPIO pin and taking output from another

16. 16

17. 17
This video shows how the Raspberry Pi and my laptop were communicating after the
Simulink Model was dumped.The devices were connected via LAN of the Electronics
Department.The board gave an inverse logic as the LED glowed when the switch
was released.

18. THANKYOU !!!!
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