AI development for a personal robot system

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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Bibliographic Details
Main Author: Sebastian
Other Authors: Vun Chan Hua, Nicholas
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2022
Subjects:
Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
Online Access:https://hdl.handle.net/10356/157337
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Institution: Nanyang Technological University
Language: English
Description
Summary: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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