AI development for a personal robot system
This report documents a Misty robot project that leverages her built-in AI capabilities and additional optical character recognition (OCR), image processing, and object detection to verify the validity of a check-in certificate generated by the TraceTogether app. There are 3 components involve...
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Format: | Final Year Project (FYP) |
Language: | English |
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Nanyang Technological University
2022
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Online Access: | https://hdl.handle.net/10356/157337 |
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author | Sebastian |
author2 | Vun Chan Hua, Nicholas |
author_facet | Vun Chan Hua, Nicholas Sebastian |
author_sort | Sebastian |
collection | NTU |
description | This report documents a Misty robot project that leverages her built-in AI capabilities and
additional optical character recognition (OCR), image processing, and object detection to
verify the validity of a check-in certificate generated by the TraceTogether app. There are 3
components involved: Misty, a FastAPI server with Tesseract OCR, OpenCV, and YOLOV5,
and a Flutter application. All components communicate within the local network so that the
system is portable.
This project aims to explore how Misty’s built-in AI can work together with custom AI
algorithms. This project does not focus on making the system production-ready but focuses
more on researching the extensibility aspect of Misty. |
first_indexed | 2024-10-01T05:50:18Z |
format | Final Year Project (FYP) |
id | ntu-10356/157337 |
institution | Nanyang Technological University |
language | English |
last_indexed | 2024-10-01T05:50:18Z |
publishDate | 2022 |
publisher | Nanyang Technological University |
record_format | dspace |
spelling | ntu-10356/1573372022-05-12T07:27:48Z AI development for a personal robot system Sebastian Vun Chan Hua, Nicholas School of Computer Science and Engineering ASCHVUN@ntu.edu.sg Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence This report documents a Misty robot project that leverages her built-in AI capabilities and additional optical character recognition (OCR), image processing, and object detection to verify the validity of a check-in certificate generated by the TraceTogether app. There are 3 components involved: Misty, a FastAPI server with Tesseract OCR, OpenCV, and YOLOV5, and a Flutter application. All components communicate within the local network so that the system is portable. This project aims to explore how Misty’s built-in AI can work together with custom AI algorithms. This project does not focus on making the system production-ready but focuses more on researching the extensibility aspect of Misty. Bachelor of Engineering (Computer Science) 2022-05-12T07:27:48Z 2022-05-12T07:27:48Z 2022 Final Year Project (FYP) Sebastian (2022). AI development for a personal robot system. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/157337 https://hdl.handle.net/10356/157337 en SCSE21-0321 application/pdf Nanyang Technological University |
spellingShingle | Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence Sebastian AI development for a personal robot system |
title | AI development for a personal robot system |
title_full | AI development for a personal robot system |
title_fullStr | AI development for a personal robot system |
title_full_unstemmed | AI development for a personal robot system |
title_short | AI development for a personal robot system |
title_sort | ai development for a personal robot system |
topic | Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence |
url | https://hdl.handle.net/10356/157337 |
work_keys_str_mv | AT sebastian aidevelopmentforapersonalrobotsystem |