Unit-4 Applicationss
Unit-4 Applicationss
Controller Fog / Local Internet Cloud Controller Fog / Local Internet Cloud
Link Internet Internet Link Internet Internet
Node Link Computer Gateway Services Node Link Computer Gateway Services
Actuator Central and Remote Data Sensor Central and Remote Data
Nodes Within Organization for Storage/Analysis Analytics Nodes Within Organization for Storage/Analysis Analytics
Local Analysis, Processing and Controlling Local Analysis, Processing and Controlling
Relays, Alarms, Motors, Research / Decision All Kind of Sensors, Research / Decision
Actuators, Light Indicators, Making GPS, etc. Making
etc.
Where, Link: Wire, LAN, Wi-Fi, or Bluetooth Connectivity Where, Link: Wire, LAN, Wi-Fi, or Bluetooth Connectivity
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Applications with IoT Applications with IoT
How it works How it works
All the sensor and actuator nodes should be placed at All the controller nodes should have connected
appropriate place. with the Fog or local computer network, or directly
The sensor and actuator nodes should have proper to the cloud server via Internet.
Sensor Node
connectivity with controller nodes or direct to the Actuator Node Fog or local computer
cloud server. Receives all the data from all the controller nodes,
The sensor nodes sends the sensed data to the Execute some business logic and
Gateway Do analysis on the collected data, and
controller nodes or directly to the cloud server.
Actuator Node Send the filtered limited data to the cloud computer as
The controller node well as
Collects the data from all the sensors, Send the alert messages to the local team.
Apply some business logic on it as per the requirements
and The Fog computer should have Internet
Send it to the Fog or local computer, or directly to the cloud connectivity for the cloud communication.
Sensor Node Sensor Node
server.
Prof. Kalpesh H Surati #3160716 (IoT) ⬥ Unit 5 – Application Building with IoT 5 Prof. Kalpesh H Surati #3160716 (IoT) ⬥ Unit 5 – Application Building with IoT 6
Prof. Kalpesh H Surati #3160716 (IoT) ⬥ Unit 5 – Application Building with IoT 7 Prof. Kalpesh H Surati #3160716 (IoT) ⬥ Unit 5 – Application Building with IoT 8
Healthcare Application with IoT Healthcare Application with IoT
Overview Overview
The healthcare sector consists of Healthcare is delivered by health
medical and related goods and professionals.
services. Medicine
Healthcare sector provides medical Dentistry
services for maintaining or Pharmacy
improving health via Nursing
Prevention Psychology
Diagnosis And other health professions are all
Treatment part of health care.
Recovery or cure of disease, illness, Healthcare has become one of
injury, and other physical and mental India’s largest sector in terms of
harms in people.
revenue and employment.
Healthcare sector is much
diversified and is full of
opportunities in every segment.
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Prof. Kalpesh H Surati #3160716 (IoT) ⬥ Unit 5 – Application Building with IoT 11 Prof. Kalpesh H Surati #3160716 (IoT) ⬥ Unit 5 – Application Building with IoT 12
Healthcare Application with IoT Healthcare Application with IoT
Requirements for IoT Setup Architecture Nursing Staff Nursing Staff
Sensors For Monitoring and Analysis and Doctors and Doctors
Heartbeat Sensor PC Local Care
Heartbeat Remote
Oxygen Level Sensor Mobile Sensor Taker Care Taker
Glucose Level Sensor Tablet Node Monitoring Internet Monitoring
Wi-Fi Patient Wise Wi-Fi /
Controller Node LAN
ESP8266 Node MCU or Oxygen Wi-Fi Internet
Controller Wi-Fi Fog Internet Cloud Data
Arduino Uno with Wi-Fi or Network Shield Sensor
Node LAN Computer Gateway Services Analytics
Node
For Fog Computing
Raspberry Pi or Within Research / Decision
Organization for Central and Remote Internet
PC Wi-Fi Making
Glucose Local Analysis Storage/Analysis
LAN and WAN Connectivity Sensor and Processing Patients
Node
Router and Switches Family
Wireless Access Point
Cloud Services
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Prof. Kalpesh H Surati #3160716 (IoT) ⬥ Unit 5 – Application Building with IoT 15 Prof. Kalpesh H Surati #3160716 (IoT) ⬥ Unit 5 – Application Building with IoT 16
Healthcare Application with IoT Healthcare Application with IoT
How it works Summery
The cloud IoT has changed people’s lives by enabling constant tracking of health conditions.
Stores all the data received from the Fog Wearables connected devices like blood pressure and heart rate monitoring cuffs, glucometer
Execute some business logic etc. give patients attention.
Do analysis on the stored data
On any changes in the routine activities of a person, alert message sends to family members
All those who have rights to access the cloud data can and health service providers.
get health records of the patients, like
Remote care taker team members IoT enables healthcare professionals to be more watchful.
Data analytics team Data collected from IoT devices can help physicians identify the best treatment process.
Patient family members IoT devices tagged with sensors are used for tracking real time location of medical
The care taker and data analytics teams may execute equipment like wheelchairs, nebulizers, oxygen pumps and other monitoring equipment.
corrective action based on the data and alert IoT-enabled hygiene monitoring devices help in preventing patients from getting infected.
messages.
It also help in asset management like pharmacy inventory control, and environmental
monitoring, for instance, checking refrigerator temperature.
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Sensor Storage/Analysis
Nodes
Controller Wi-Fi Local Internet Cloud Internet Data The sensor nodes sends the sensed data
Wi-Fi to the controller nodes.
Nodes LAN Server Gateway Services Analytics
Ambiance
Internet
Light & Temp.
For
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Driver Assistance Application with IoT Driver Assistance Application with IoT
Overview Importance
Vehicle manufacturing companies Driver’s drowsiness is one of the major factor is
are trying to make vehicles more reported in road accidents.
comfortable and safe for their Drowsiness is a kind of sleeping sensation which
passengers. can lead for closing eyes.
They are experimenting to design a Drowsiness make one physically inactive and
system that could monitor and alert insensitive to surroundings.
the user suffering from highway
So we need to monitor driver’s consciousness
hypnosis or white line fever.
along with his acceleration pattern and steering
As well as they need an IoT based angle.
system to prevent accidents
If any deviation is detected, a system should be
caused by drowsy driver.
there to alert the driver.
A process of detecting the deviation and
drowsiness of the driver should be developed.
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Driver Assistance Application with IoT Driver Assistance Application with IoT
Importance Requirements for IoT Setup
Using Image Processing and Machine Sensors For Monitoring and Analysis
Learning (ML) technology a system can be Ultrasonic Sensor PC
developed. Mobile
Cameras Tablet
The system detect whether the driver has On Board Diagnostic (OBD)
deviated or not, by monitoring the driver’s Access
facial movements,
Eye Aspects Ration (EAR) for drowsiness, Controlling
acceleration pattern and Raspberry Pi
change in the steering angle
WAN Connectivity
Cloud Services
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Driver Assistance Application with IoT Driver Assistance Application with IoT
Architecture Drowsiness Detection System How it works
EAR Driver Camera units should be placed on board for capture
Value
Camera Units
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Driver Assistance Application with IoT Driver Assistance Application with IoT
How it works
How it works
OBD can record the pattern of
The road side camera capture the
acceleration and steering angles during
front view images.
the drowsiness of the driver.
The capture images sends to the
Compare the recorded values with the
vehicle computer for
threshold value and the historical data for
Detecting lane
the actual deviation.
Objects
Sign boards All the calculated data is sent to the data
analytics and obtained result, is used to
Deviation is monitored using OBD alert the driver.
(On-Board Diagnostics) device.
The cloud data also useful for the vehicle
owner.
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Collision Impact Detection Using IoT Collision Impact Detection Using IoT
Overview Overview
Modern vehicles are equipped with the The messages contents
collision detection mechanism. Location of the accident
Severity impact,
It blow up airbags when an accident Fire status,
occurs and save lives in major cases. Speed of the vehicle,
But if the collision is massive then the Number of passengers,
airbags may not sufficient. Time of the incident, etc.
In these cases emergency help needed Broadcast the messages to all the
to save the lives. authorities like
So we need a system that measure the Ambulance service,
severity impact of the collision and Hospitals,
send alert messages. Highway patrolling team,
Fire brigade,
Police,
Family member of the vehicle owner, etc.
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Collision Impact Detection Using IoT Collision Impact Detection Using IoT
Importance Requirements for IoT Setup
If a single accident occur in along highway then it Sensors For Monitoring and Analysis
can be managed without the data of severity of FSR Sensor PC
the collision. Fire Sensor Mobile
GPS Sensor Tablet
When multiple accident occurs on the highway
then the severity data is very important to save Cameras
lives of the very serious victims.
OBD Access
Based on the data and severity impact, all the
Controlling
emergency help will be reached timely at the
Raspberry Pi
point.
WAN Connectivity
Thus, we need an IoT based system that sense the
necessary parameters of the collision. Cloud Services
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Collision Impact Detection Using IoT Collision Impact Detection Using IoT
Architecture How it works
For Location • Ambulance
For Passenger Counting • Hospitals Force sensitive resistor (FSR) sensors are useful to
GPS Emergency Help • measure pressure applied on the vehicle during the
Camera Units
Highway Patrolling
Node Service Provider •
Passenger USB Fire Brigade collision.
Camera • Police
Count Wired /
Central and Remote
The FSR sensor are mounted on the vehicle at the places
Bluetooth Internet where impact probability is higher than the other part of
Storage/Analysis
vehicle during an accident.
Severity
FSR
Impact
Collision Impact Detection Using IoT Collision Impact Detection Using IoT
How it works How it works
The camera units should have USB connectivity Using OBD (On-Board Diagnostics) device the
with vehicle computer. system records speeds of the vehicle.
The camera units sends the captured images to The fire sensor and GPS also sends the sensed
the vehicle computer. data to the vehicle computer.
The OBD unit of the vehicle should have Based on the analyzed data and severity of the
Bluetooth connectivity with the vehicle collision the cloud system sent alert messages
computer to all the emergency help service provider and
The vehicle computer family member of the vehicle owner.
Collects the data from the camera units, OBD unit The cloud data is used for data analytics and
and the sensor nodes.
to provide the priority based emergency
Apply some business logic, services.
Do analysis on the collected data on it as per the
requirements. The system is automatic activated when the
Send the analyzed data to the cloud computer. collision is detected.
Should have Internet connectivity
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Water Quality Monitoring - IoT Based Application Water Quality Monitoring - IoT Based Application
Overview Importance
At present water quality is monitored very
Water is essential for life and the expensive and inefficient by manual or nodal
polluted water is a one of the major network methods.
challenge in the world.
Manual Method
So water quality monitoring is
Water samples are taken manually from the different
necessary for us. points of a water area.
Water Quality Monitoring (WQM) helps The samples sent to laboratories
in preventing and controlling water Various tests are conducted to find the values of
pollutions. ▪ PH, Conductivity and Temperature
▪ TDS, Dissolved Oxygen
Water quality should be checked
▪ Turbidity
regularly to avoid serious health
▪ Chloride Content
issues.
The reports of the test sends to the concern
IoT can help to develop a perfect WQM authorities with in a week.
system.
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Water Quality Monitoring - IoT Based Application Water Quality Monitoring - IoT Based Application
Importance Importance
Manual Method Nodal Network Method (Electronics Sensor
Monitoring)
The methods have some limitations Water quality is measured by electronic
like sensors installed in the different points of a
Chance of human error in the water area.
sampling All the sensors are wirelessly connected with
Sampling cost is very high because the Internet.
of to cover very large area of The water quality data sends to the cloud
waterbody server at regular interval.
Sampling and Testing both are time This method is giving real-time data contras to
consuming the manual method.
Not real-time monitoring which leads System architecture of the monitoring system
to may serious issues. is divided into following four areas
▪ Sensing
▪ Data Collection
▪ Processing
▪ Communication
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Water Quality Monitoring - IoT Based Application Water Quality Monitoring - IoT Based Application
Importance Importance
Nodal Network Method (Electronics A low cost solution is possible for WQM
Sensor Monitoring) using latest technology, Data Analytics,
The methods have following limitations USVs, Machine Learning, AI and IoT.
Very expansive No need to install sensors permanently into
Maintenance of the sensors along with the waterbody in the solution
power source are challenging
An autonomous boat (USV), mounted with
Natural disaster and aquatic animal
movement in the waterbody may damage
all the necessary sensors can
the sensors Collect the water quality data and
The sensors are not moveable Send the data to the cloud for data analytics
All the necessary parameters of water can
be tracked and measured.
Detailed report of the containment status of
the entire waterbody can be generated.
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Water Quality Monitoring - IoT Based Application Water Quality Monitoring - IoT Based Application
Requirements for IoT Setup Architecture
Water Sensors Kit Report Generation
For Monitoring and Analysis Water Quality Sensors Kit
PH Sensor Temperature Sensor PC Pollution
GPS Sensor Conductivity Sensor Control
Mobile Temperature
PH Board
Turbidity Sensor Tablet Sensor
Sensor
TDS and Dissolved Oxygen Sensor Central and Remote
Internet
Controller Storage/Analysis
GPS Sensor
ESP32 MCU or Sensors Kit Wired GPRS / Internet Internet
Cloud Data
Arduino Uno with Wi-Fi or Network Shield Controller GSM
Turbidity Services Analytics
Node Module
WAN Connectivity Sensor
Research / Decision
GPRS or GSM Module Wired Internet
TDS and DO Making
Cloud Services Sensor Conductivity
USV USV
Sensor Base Station,
Controller Control
USV Operator
Node Panel
Unmanned Surface Vehicle (USV)
Unmanned Surface
Vehicle
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Water Quality Monitoring - IoT Based Application Water Quality Monitoring - IoT Based Application
How it works How it works
A bundle of all the sensors or a water quality sensor The kit controller node sends all the sensed data to
kit should be mounted on an autonomous or the cloud server via GPRS/GSM module
unmanned surface vehicle (USV). The GPRS/GSM module is used to provide the
The USV can be operated by an embedded controller Internet connectivity with the cloud server.
node. The cloud
The USV should have GSM or GPRS internet stores all the data received from the USVs,
connectivity with the cloud server. Execute some business logic and
The sensor kit sense the following values Do analysis on the stored data.
PH Value of Water - PH Sensor All those who have rights to access the cloud data
Temperature of Water - Temperature Sensor can get water quality records of the waterbody.
Conductivity of Water - Conductivity Sensor Like,
Clarity of Water - Turbidity Sensor
Members of Pollution Control Board
Dissolved Solid and Oxygen in Water– TDS and DO Sensor
Data analytics team
Location of the reading - GPS Sensor
USV operator
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Water Quality Monitoring - IoT Based Application Smart Lavatory - IoT Based Application
How it works Overview
Authorities of the board and data In the all businesses retaining old
analytics teams may execute customer is more meaningful then the
corrective action based on the finding new.
data.
It is possible by
An USV control panel is installed in Offering good quality products,
the base station of the WQM Best services and
system. The pleasant experience while visiting your
The control panel should have place.
internet connectivity for controlling Hygiene and comfort in lavatory is one of
the USV. the major concern of the businesses.
Using the control panel, an Maintaining and monitoring cleanliness in
operator can set paths and control lavatory is a challenging task.
the USV.
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Smart Lavatory - IoT Based Application Smart Lavatory - IoT Based Application
Importance Requirements for IoT Setup
Mostly lavatory cleaning and monitoring is Water Sensors Kit For Monitoring and Analysis
manually done by cleaning staff. MQ05 Gas Sensor PC
Touch Sensor Mobile
Because of the manual process some time
Sharp IR Sensor Tablet
it’s not done properly.
Water Level Float Sensor
Unclean lavatory may become a root cause Controller
of many diseases. ESP32 MCU or
User may suffer because of unavailability of Arduino Uno with Wi-Fi or Network Shield
water or toilet papers in many cases. LAN and WAN Connectivity
Slippery and wet floor might be unsafe for Router and Switches
users. Wireless Access Point
An IoT based smart lavatory monitoring Cloud Services
system is needed to solve the above
mentioned issues.
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Smart Lavatory - IoT Based Application Smart Lavatory - IoT Based Application
Architecture How it works
For Feedback
Touch Cleaning & Sweepers and
All the sensor nodes should be placed at
Sensor Wi-Fi
Monitoring Supervisor various places in the lavatory area.
Team Monitoring Store Manager,
Nodes
System Support Agency The sensor nodes should have Wi-Fi
Wi-Fi / and Other Staff connectivity with controller nodes.
Central
Hygiene
Water Level
For
Float Sensor
Within Organization Collects the data from all the sensors,
Research / Decision
Nodes for Local Analysis Apply some business logic on it as per
Making
and Processing requirements and
Sharp IR Customers Send it to local computer.
Sensor Wi-Fi
Nodes All the controller nodes should have
For Toilet Paper
connected with the Local Area Network.
Dispenser
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Smart Lavatory - IoT Based Application Smart Lavatory - IoT Based Application
How it works How it works
Gas sensors are used for monitoring various Local server
gases levels like ammonia and methane level Receives all the data from all the controller
in the lavatory. nodes,
Execute some business logic and
Touch sensors are used for customers’
Do analysis on the collected data, and
feedback about ambiance and cleanness in
Send the essential data to the cloud computer.
the lavatory.
Water level float sensors are used for All the cleaning & monitoring team
monitoring water level in the flush tank and members can be accessed following from
the flush count. the local server .
Status of lavatory cleanness,
Sharp IR sensors are placed in the toilet Water and toilet paper availability
paper dispenser for monitoring remaining
toilet papers. The local server should have Internet
connectivity to communicate with the cloud.
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