Cell phone based real time pattern recognition

Yap, In Yin

Please use this identifier to cite or link to this item: http://dspace.cityu.edu.hk/handle/2031/9392

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DC Field	Value	Language
dc.contributor.author	Yap, In Yin	en_US
dc.date.accessioned	2020-11-25T09:24:28Z	-
dc.date.available	2020-11-25T09:24:28Z	-
dc.date.issued	2020	en_US
dc.identifier.other	2020eeyiy970	en_US
dc.identifier.uri	http://dspace.cityu.edu.hk/handle/2031/9392	-
dc.description.abstract	This project is about an application of pattern recognition. The aim of this project is to develop an application about real-time recognition of public transports on smartphone. In this way, elderly and people with blurred vision can be benefitted. Object detection is a computer vision technique that allows us to identify the locate object on images or videos. Buses and minibuses can be detected with ease by this apps. Also, an OCR is performed to identify bus number. The result of bus number will provide a voice output. Building of this application is based on Android platform while the model architecture of object detection is based on SSD MobileNet V2. Open Source TensorFlow Object Detection API are used to train the models and evaluated with it. Offline text recognition is handled with Google Mobile Vision API.	en_US
dc.rights	This work is protected by copyright. Reproduction or distribution of the work in any format is prohibited without written permission of the copyright owner.	en_US
dc.rights	Access is restricted to CityU users.	en_US
dc.title	Cell phone based real time pattern recognition	en_US
dc.contributor.department	Department of Electrical Engineering	en_US
dc.description.supervisor	Supervisor: Prof. Chow, Tommy W S; Assessor: Dr. Cheung, Ray C C	en_US
Appears in Collections:	Electrical Engineering - Undergraduate Final Year Projects

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