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Subhash kumar ASSIGNMENT-03
(18btcse009)
Living in cities can be troubling. Urbanization is always expanding, and
traffic in cities is becoming heavier every day. The UN Department of
Economic and Social Affairs (UN DESA) predicts that all of the increase
to the world’s population will live in urban areas. This increase is
predicted to be as much as 68% by 2050. The population growth is not
only a pressing issue for the government but a tangible daily reality for
most citizens.
Smart parking development implies an IoT-based system that sends data
about free and occupied parking places via web/mobile application. The
IoT-device, including sensors and microcontrollers, is located in each
parking place. The user receives a live update about the availability of
all parking places and chooses the best one.
The main idea was the creation of smart parking using the Internet of
Things and ultrasonic sensors, where available parking places could be
displayed in a web application.
Used IoT ecosystem:
Hardware: ESP8266 microcontroller, HC-SR04 distance measurement
sensor
Network: MQTT protocol
Cloud & Analytics: Amazon Web Services: AWS IoT, AWS Lambda
Used Programming Languages: Micro-Python, Python, JavaScript
Subhash kumar ASSIGNMENT-03
(18btcse009)
User Interface: JavaScript-based web application.
The IoT device consists of an ESP8266 microcontroller and an HC-SR04
distance measurement sensor. The sensor periodically measures the
distance and transmits this data to the microcontroller, which is
connected to AWS IoT service via the MQTT protocol.
Periodically, the device sends measurements to the cloud where they are
stored in AWS IoT shadow as a sensor state. A sensor detects a parked
car by measuring the distance to the nearest obstacle—in our case, to
the bottom of the car. The state can be “occupied” if the distance is in
the range of 100mm – 500mm, “free” if the distance is more than 500mm
and “dirty” if the distance is less than 100mm, which means that the
sensor may be unclean. All of these values can be easily configured.
These values represent both free and occupied parking lots.
In our case, if the sensor detects nothing up to 50 cm, the status is set
to “free” and is shown to the user.
The “occupied” range is between 10 and 50 cm.
Subhash kumar ASSIGNMENT-03
(18btcse009)
Below 10 cm, the status is “dirty”. It means the sensor might be covered
with mud or an obstacle, and requires checking.
When a driver accesses the system via web application, a signal is sent
to the Lambda function. It reads the sensor state values from AWS IoT
shadow and displays parking spaces depending on the state. Green
colour – free space, red colour – occupied space, yellow colour –
pollution.
For now, this particular solution may be used for MVP and POC (proof
of concept).
The building of a full-fledged IoT based smart parking system will be
different. Hardware, software and firmware selection will depend on the
size of the specific parking area and the number of parking slots.
Mobile and/or web application features also play a big role in the IoT
system architecture. If business requirements show demand for a smart
parking development, a more advanced application might be created.
All the hardware should always be selected by the IoT specialist.
Depending on the IoT system architecture, developers will select the
most suitable hardware. In some cases, it’s better to use gateway
and LPWAN for IoT sensors, for others it may not be.
The improvement of smart parking system depends on business needs.
Taking into account retail and healthcare technology trends, smart
parking might take priority. Returning to our smart parking solution, the
main features that might be improved are:
LoRaWAN protocol will increase the autonomous operating time of a
smart parking system. Due to LoRa Alliance’s specification, the
LoRaWAN protocol is optimized for low power consumption, which means
that you don’t need to change batteries more often than once every 2-5
years. Furthermore, it is designed to scale from a single gateway
Subhash kumar ASSIGNMENT-03
(18btcse009)
installation up to large global networks with billions of devices. Thus, it
would be a good idea to apply this or any LPWAN protocol for a smart
park.
Data Science and Computer Vision technologies based on video stream
are also a perfect match for IoT-based innovations. On the subject of
smart parking development, Data Science, Machine Learning and
Computer Vision might be applied for car number recognition.
This feature allows:
 Automatic gate opening, if the car belongs to a given park
 Navigation of cars to available and suitable parking slots
Sensor integration is also a good upgrade for smart parking systems.
The most applicable are:
1. Ultrasonic sensors
Ultrasonic sensors measure distance by using ultrasonic waves in time
between the emission and reception. Advantages: high accuracy of the
sensor. The disadvantages: the probability of sensor contamination.
2. Electromagnetic field sensors
Electromagnetic field sensor is a small-scale microelectromechanical
system device for detecting and measuring magnetic fields. The solution
is based on the change of the electromagnetic field as the metal
mechanisms approach one another.
3. Infrared sensors (IR sensor)
An infrared sensor is an electronic device that emits in order to sense
some aspect of its surroundings. An IR sensor can measure the heat of
Subhash kumar ASSIGNMENT-03
(18btcse009)
an object as well as detect motion. An IR sensor works in a similar way
to ultrasonic sensors.
Custom mobile and web IoT applications might be developed
depending on business needs. The function of a parking slot order
may be a killer feature for mobile/web apps. If a parking area is a
few kilometres long, an integrated AR navigation may help drivers not
to get lost looking for own car.
All the features mentioned above are not the limit of the technology.
The more technology innovations we implement, the more features we
can add. For most cities, smart parking is still evolving technology.
Only by implementing new ideas can we make smart solutions like
these available and use them to improve our everyday life.

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Living in cities can be troubling

  • 1. Subhash kumar ASSIGNMENT-03 (18btcse009) Living in cities can be troubling. Urbanization is always expanding, and traffic in cities is becoming heavier every day. The UN Department of Economic and Social Affairs (UN DESA) predicts that all of the increase to the world’s population will live in urban areas. This increase is predicted to be as much as 68% by 2050. The population growth is not only a pressing issue for the government but a tangible daily reality for most citizens. Smart parking development implies an IoT-based system that sends data about free and occupied parking places via web/mobile application. The IoT-device, including sensors and microcontrollers, is located in each parking place. The user receives a live update about the availability of all parking places and chooses the best one. The main idea was the creation of smart parking using the Internet of Things and ultrasonic sensors, where available parking places could be displayed in a web application. Used IoT ecosystem: Hardware: ESP8266 microcontroller, HC-SR04 distance measurement sensor Network: MQTT protocol Cloud & Analytics: Amazon Web Services: AWS IoT, AWS Lambda Used Programming Languages: Micro-Python, Python, JavaScript
  • 2. Subhash kumar ASSIGNMENT-03 (18btcse009) User Interface: JavaScript-based web application. The IoT device consists of an ESP8266 microcontroller and an HC-SR04 distance measurement sensor. The sensor periodically measures the distance and transmits this data to the microcontroller, which is connected to AWS IoT service via the MQTT protocol. Periodically, the device sends measurements to the cloud where they are stored in AWS IoT shadow as a sensor state. A sensor detects a parked car by measuring the distance to the nearest obstacle—in our case, to the bottom of the car. The state can be “occupied” if the distance is in the range of 100mm – 500mm, “free” if the distance is more than 500mm and “dirty” if the distance is less than 100mm, which means that the sensor may be unclean. All of these values can be easily configured. These values represent both free and occupied parking lots. In our case, if the sensor detects nothing up to 50 cm, the status is set to “free” and is shown to the user. The “occupied” range is between 10 and 50 cm.
  • 3. Subhash kumar ASSIGNMENT-03 (18btcse009) Below 10 cm, the status is “dirty”. It means the sensor might be covered with mud or an obstacle, and requires checking. When a driver accesses the system via web application, a signal is sent to the Lambda function. It reads the sensor state values from AWS IoT shadow and displays parking spaces depending on the state. Green colour – free space, red colour – occupied space, yellow colour – pollution. For now, this particular solution may be used for MVP and POC (proof of concept). The building of a full-fledged IoT based smart parking system will be different. Hardware, software and firmware selection will depend on the size of the specific parking area and the number of parking slots. Mobile and/or web application features also play a big role in the IoT system architecture. If business requirements show demand for a smart parking development, a more advanced application might be created. All the hardware should always be selected by the IoT specialist. Depending on the IoT system architecture, developers will select the most suitable hardware. In some cases, it’s better to use gateway and LPWAN for IoT sensors, for others it may not be. The improvement of smart parking system depends on business needs. Taking into account retail and healthcare technology trends, smart parking might take priority. Returning to our smart parking solution, the main features that might be improved are: LoRaWAN protocol will increase the autonomous operating time of a smart parking system. Due to LoRa Alliance’s specification, the LoRaWAN protocol is optimized for low power consumption, which means that you don’t need to change batteries more often than once every 2-5 years. Furthermore, it is designed to scale from a single gateway
  • 4. Subhash kumar ASSIGNMENT-03 (18btcse009) installation up to large global networks with billions of devices. Thus, it would be a good idea to apply this or any LPWAN protocol for a smart park. Data Science and Computer Vision technologies based on video stream are also a perfect match for IoT-based innovations. On the subject of smart parking development, Data Science, Machine Learning and Computer Vision might be applied for car number recognition. This feature allows:  Automatic gate opening, if the car belongs to a given park  Navigation of cars to available and suitable parking slots Sensor integration is also a good upgrade for smart parking systems. The most applicable are: 1. Ultrasonic sensors Ultrasonic sensors measure distance by using ultrasonic waves in time between the emission and reception. Advantages: high accuracy of the sensor. The disadvantages: the probability of sensor contamination. 2. Electromagnetic field sensors Electromagnetic field sensor is a small-scale microelectromechanical system device for detecting and measuring magnetic fields. The solution is based on the change of the electromagnetic field as the metal mechanisms approach one another. 3. Infrared sensors (IR sensor) An infrared sensor is an electronic device that emits in order to sense some aspect of its surroundings. An IR sensor can measure the heat of
  • 5. Subhash kumar ASSIGNMENT-03 (18btcse009) an object as well as detect motion. An IR sensor works in a similar way to ultrasonic sensors. Custom mobile and web IoT applications might be developed depending on business needs. The function of a parking slot order may be a killer feature for mobile/web apps. If a parking area is a few kilometres long, an integrated AR navigation may help drivers not to get lost looking for own car. All the features mentioned above are not the limit of the technology. The more technology innovations we implement, the more features we can add. For most cities, smart parking is still evolving technology. Only by implementing new ideas can we make smart solutions like these available and use them to improve our everyday life.