Page 122 - Abstract book - TJSSF-2020

Thailand – Japan Student Science Fair 2020 (TJ-SSF 2020)
“Seeding Innovations through Fostering Thailand – Japan Youth Friendship”

Oral and Poster Presentation
Section E : Computing and Information Technology

Car Park Detect System (CPDS)

Atichat Auppakansang , Tanapoom Jaroenkunpanit
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Advisors: Thapanawat Chooklin , Boonchana Poorahong
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Princess Chulabhorn Science High School.Nakhon Si Thammarat
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King Mongkut's Institute of Technology Ladkrabang
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Abstract

This computer project has studied about the management of car parks. To reduce parking problems by
studying and developing car park management. At present, there have problems of some parking places
such as hospital condominium or shopping mall. Because the customer doesn't know where the exact
parking space is the costumer have to waste time and energy while finding parking spot. So, in the
present it has parking management system already but It make their owner spend a lot of money and
hard to manage and maintenance. The purpose of this project is to develop a parking management
system by using the image processing system and creating programs to execute and display parking
detection results displayed on screen to save time in searching for parking spaces and to help to reduce
costs in fuel. Using cameras to get the status of the parking space that be processed by image processing
and send the status through Line Notify. We use Dialogflow to make Chatbot in many platforms, it uses
NLP for detect the conversation and reply them with Data of Carpark slot from the Firebase. From the
test, found that the system can check the availability of the parking space within the parking lot ready
to send data to user and they can use the Chatbot to find the Carpark empty slot for Parking. Form the
survey results, it can help them reduce their waste time and this parking management system help the
owner to reduce the cost for install the parking management system.

Keywords: Image Processing, Machine Learning, Line Notify, Chatbot, Dialog flow, NLP, Firebase

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