Creating a mobile application for blood transfusion process
The development of computer vision, or an even more specific word that is pertinent to this research, Optical Character Recognition (OCR), has made it possible for computers to recognize text from images. It rose to prominence in the last ten years and is now frequently utilized in programs like Goo...
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2023
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sg-ntu-dr.10356-1673162023-05-27T16:50:55Z Creating a mobile application for blood transfusion process Chong, Joseph Kien Chen Cai Yiyu School of Mechanical and Aerospace Engineering Singapore General Hospital MYYCai@ntu.edu.sg Engineering::Mechanical engineering The development of computer vision, or an even more specific word that is pertinent to this research, Optical Character Recognition (OCR), has made it possible for computers to recognize text from images. It rose to prominence in the last ten years and is now frequently utilized in programs like Google Translate. OCR is an established technique that enjoys widespread acceptance and has improved accuracy, leading to new uses for the text data gathered. This project expands on its OCR functionality by adding the ability to extract keywords, which may be used for several tasks like managing, sorting, and archiving. The use case options are limitless, and this initiative ultimately intends to become a crucial app that consumers can utilize in their daily lives. Bachelor of Engineering (Mechanical Engineering) 2023-05-25T10:45:15Z 2023-05-25T10:45:15Z 2023 Final Year Project (FYP) Chong, J. K. C. (2023). Creating a mobile application for blood transfusion process. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/167316 https://hdl.handle.net/10356/167316 en C019 application/pdf Nanyang Technological University |
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Engineering::Mechanical engineering Chong, Joseph Kien Chen Creating a mobile application for blood transfusion process |
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The development of computer vision, or an even more specific word that is pertinent to this research, Optical Character Recognition (OCR), has made it possible for computers to recognize text from images. It rose to prominence in the last ten years and is now frequently utilized in programs like Google Translate. OCR is an established technique that enjoys widespread acceptance and has improved accuracy, leading to new uses for the text data gathered.
This project expands on its OCR functionality by adding the ability to extract keywords, which may be used for several tasks like managing, sorting, and archiving. The use case options are limitless, and this initiative ultimately intends to become a crucial app that consumers can utilize in their daily lives. |
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Cai Yiyu |
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Cai Yiyu Chong, Joseph Kien Chen |
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Final Year Project |
author |
Chong, Joseph Kien Chen |
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Chong, Joseph Kien Chen |
title |
Creating a mobile application for blood transfusion process |
title_short |
Creating a mobile application for blood transfusion process |
title_full |
Creating a mobile application for blood transfusion process |
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Creating a mobile application for blood transfusion process |
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Creating a mobile application for blood transfusion process |
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creating a mobile application for blood transfusion process |
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Nanyang Technological University |
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2023 |
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https://hdl.handle.net/10356/167316 |
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