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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Nanyang Technological University
2022
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sg-ntu-dr.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 |
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Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence Sebastian AI development for a personal robot system |
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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. |
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Vun Chan Hua, Nicholas |
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Vun Chan Hua, Nicholas Sebastian |
format |
Final Year Project |
author |
Sebastian |
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Sebastian |
title |
AI development for a personal robot system |
title_short |
AI development for a personal robot system |
title_full |
AI development for a personal robot system |
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AI development for a personal robot system |
title_full_unstemmed |
AI development for a personal robot system |
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ai development for a personal robot system |
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Nanyang Technological University |
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2022 |
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https://hdl.handle.net/10356/157337 |
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1734310235730870272 |