Smart parking systems aim to improve the driver experience, reduce traffic and pollution, and increase safety and efficiency. The system uses sensors and cameras to detect and identify parked cars, and allows drivers to check in and pay automatically via phone or RF card. A raspberry pi board acts as the coordinator to communicate between the sensor units and parking payment system. Issues like sensor accuracy and detecting non-moving objects were addressed. Future work may include GPS location tracking and integrating additional payment methods. The system is intended to help drivers find parking spots more easily.

1. Smart Parking
By Sigma LABS

2. Why do we need Smart Parking?
1. Driver Experience
2. Traffic
3. Pollution
4. Safety
5. Operational cost
6. Time
7. Energy

3. Outline :
What is smart Parking System.
System Unit.
Main features.
Coordinator
Problems
Future Work
 Conclusion.

4. What is smart Parking System
Smart Parking is a parking strategy that combines technology and human innovation in an effort
to use as few resources as possible—such as fuel, time and space—to achieve faster, easier and
denser parking of vehicles for the majority of time they remain idle.

5. System Unit
•Raspberry Pi Board – read Best Raspberry Pi Starter Kits
•Raspberry Pi Camera V2 Module
•MicroSD Card – 16GB Class10
•Raspberry Pi Power Supply (5V 2.5A)
•Mini PIR Motion Sensor or PIR Motion Sensor
•LED
•Resistor (220 or 330 ohms should work)
•Breadboard
•Jumper wires

6. Main features
Car detection.
Check In to the system using phone number or RF Card.
Automatic payment using phone number or RF Card.
Check Out using phone number and RF Card.

7. System Description
When the sensor detects motion, the Raspberry Pi camera takes a photo. After that, the Pi
sends a request to OpenALPR with the car photo to be identified. Then, the OpenALPR API
returns the car details like: plate number, model, color, and the confidence of the results.

8. After identifying a car, we’ll do some verifications, and if we found an authorized car, we’ll
trigger an event (that can be open the garage, for example). The following image contains a
flowchart showing the process.
03/14/19

9. State of the System
System
unit
Coordin
atorOR
State
State can be: Check in, pay, Check out
information

10. The Coordinator
The coordinator consist of:
1. Rassberry pi
2. Best Raspberry Pi Starter Kits

11. Communication between the
Components
We use OpenALPR to communicate . The coordinator will be the master, and the other units
will be connected as a slave.
The coordinator will continuously request data from each unit.

12. Problems
Which sensor to use:
• After comparing to other sensors available, the ultrasonic sensor is the most accurate one, the
IR sensor is not very accurate also doesn’t work fine outside in the sunlight, and the available IR
sensors had a range less than the ultrasonic sensors.
Detection a car not a moving object:
• This is solved by using more than one ultrasonic sensor to detect from different points and
distances.
• Also by using delay and multiple readings to ensure that there is a car.

13. Future Work
1. We can add a GPS module to store the location for every unit.
2. Adding other ultrasonic sensor would be more efficient.
3. Also we can implement other ways for the payment. For example connect the payment with
the bank account for the user.
4. And to make our project more useful in our countries, we could integrate our system with
the ordinary way of payment.

14. Conclusion
What is smart parking system?
Our smart parking system project is planned to be integrated with another software application
to help drivers to find the empty spot in parking lot more easily with less time.
Also our project implement most of the functionalities needed in a parking lot. for example,
implement an automatic way for payment.

15. Team
Scientific manager: Merey M. Sarsengeldin. Phd, associate professor, at Satbayev University and
research scholar in Quantum machine Learning at University of Central Florida, founder of
Sigma Labs LLP and Sigma LABS Florida, Orlando, US
Scientific manager: Abdullah S.Erdogan, PhD, Director of Sigma Labs Florida, Orlando, US.
Key manager : Nawid Bayat & Elyas Shakib, Satbayev University, Sigma Labs.
Key manager: Haluk Laman, Ph.d. Project engineer at HNTB, Ocoee, Florida. A Civil
Transportation Engineer with 7 plus years of experience in ITS, Traffic Simulation Modeling,
Traffic Operations and Safety, Planning, Data Science and Statistics. Member of Sigma labs
Developers and team for fulfilling the project http://sigmalabs.info/about.html

16. About Sigma LABS
Sigma LABS is a scientific organization focused on science and disruptive
technology (data science, blockchain, IOT and their applications). For more
info please see http://sigmalabs.info

17. Collaboration with University of Central
Florida

18. Requested Financial Budget
•Equipments
•Salary
•Additional costs
10 MLN Tenge
20 MLN tenge
5 MLN tenge