Voice and image recognition for smart pet app
Nowadays, there are many people feel depressed and lonely. The propose of this project is to develop a Smart Pet Application which is an Android application that can interact with people to reduce their loneliness. There are two parts in the Smart Pet Application: 1. Game design and logics. 2. Artif...
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| Format: | Final Year Project / Dissertation / Thesis |
| Published: |
2019
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| Online Access: | http://eprints.utar.edu.my/3496/1/CS%2D2019%2D1603235%2D1.pdf http://eprints.utar.edu.my/3496/ |
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| _version_ | 1833428389536464896 |
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| author | Lee, Yen Long |
| author_facet | Lee, Yen Long |
| author_sort | Lee, Yen Long |
| building | UTAR Library |
| collection | Institutional Repository |
| content_provider | Universiti Tunku Abdul Rahman |
| content_source | UTAR Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | Nowadays, there are many people feel depressed and lonely. The propose of this project is to develop a Smart Pet Application which is an Android application that can interact with people to reduce their loneliness. There are two parts in the Smart Pet Application: 1. Game design and logics. 2. Artificial intelligence (AI) engine to perform voice and image recognition. This report will focus on second part, which is descript how the AI engine work. In the propose system, TensorFlow Sequence-to-Sequence (tf-seq2seq) Model is used to be the machine learning model to let the Smart Pet can communicate with its owner. tf-seq2seq is a general-purpose encoder-decoder framework for TensorFlow that suitable for Conversational Modelling. On the other hand, Baidu Cloud face recognition SDK is used for the system to let the Smart Pet perform face recognition in order to recognize its owner. Baidu Cloud face recognition is a component on Baidu Cloud Computing Platform that suitable for real-time object recognition. We will combine the game design and logics together with the AI engine to become a complete Smart Pet Application. |
| format | Final Year Project / Dissertation / Thesis |
| id | my-utar-eprints.3496 |
| institution | Universiti Tunku Abdul Rahman |
| publishDate | 2019 |
| record_format | eprints |
| spelling | my-utar-eprints.34962019-08-20T04:12:48Z Voice and image recognition for smart pet app Lee, Yen Long Q Science (General) Nowadays, there are many people feel depressed and lonely. The propose of this project is to develop a Smart Pet Application which is an Android application that can interact with people to reduce their loneliness. There are two parts in the Smart Pet Application: 1. Game design and logics. 2. Artificial intelligence (AI) engine to perform voice and image recognition. This report will focus on second part, which is descript how the AI engine work. In the propose system, TensorFlow Sequence-to-Sequence (tf-seq2seq) Model is used to be the machine learning model to let the Smart Pet can communicate with its owner. tf-seq2seq is a general-purpose encoder-decoder framework for TensorFlow that suitable for Conversational Modelling. On the other hand, Baidu Cloud face recognition SDK is used for the system to let the Smart Pet perform face recognition in order to recognize its owner. Baidu Cloud face recognition is a component on Baidu Cloud Computing Platform that suitable for real-time object recognition. We will combine the game design and logics together with the AI engine to become a complete Smart Pet Application. 2019-04-22 Final Year Project / Dissertation / Thesis NonPeerReviewed application/pdf http://eprints.utar.edu.my/3496/1/CS%2D2019%2D1603235%2D1.pdf Lee, Yen Long (2019) Voice and image recognition for smart pet app. Final Year Project, UTAR. http://eprints.utar.edu.my/3496/ |
| spellingShingle | Q Science (General) Lee, Yen Long Voice and image recognition for smart pet app |
| title | Voice and image recognition for smart pet app |
| title_full | Voice and image recognition for smart pet app |
| title_fullStr | Voice and image recognition for smart pet app |
| title_full_unstemmed | Voice and image recognition for smart pet app |
| title_short | Voice and image recognition for smart pet app |
| title_sort | voice and image recognition for smart pet app |
| topic | Q Science (General) |
| url | http://eprints.utar.edu.my/3496/1/CS%2D2019%2D1603235%2D1.pdf http://eprints.utar.edu.my/3496/ |
| url_provider | http://eprints.utar.edu.my |