Bio-inspired camera for surveillance in IoT (III)
Using event-based camera instead of conventional camera sensors comes with many merits such as reduction in the memory size and power consumption. By implementing the recognitive abilities to the sensor, further reduce the memory size by limiting the information that need to be transmitted. The o...
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| Other Authors: | |
| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2021
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/148894 |
| _version_ | 1811680191692406784 |
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| author | Tan, Shi Guang |
| author2 | Arindam Basu |
| author_facet | Arindam Basu Tan, Shi Guang |
| author_sort | Tan, Shi Guang |
| collection | NTU |
| description | Using event-based camera instead of conventional camera sensors comes with many
merits such as reduction in the memory size and power consumption. By implementing
the recognitive abilities to the sensor, further reduce the memory size by limiting the
information that need to be transmitted. The objective of this paper seeks to explore
and combine existing deep learning neural network model to reduce the memory,
computation, and accuracy. |
| first_indexed | 2024-10-01T03:21:08Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/148894 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T03:21:08Z |
| publishDate | 2021 |
| publisher | Nanyang Technological University |
| record_format | dspace |
| spelling | ntu-10356/1488942023-07-07T16:41:40Z Bio-inspired camera for surveillance in IoT (III) Tan, Shi Guang Arindam Basu School of Electrical and Electronic Engineering arindam.basu@ntu.edu.sg Engineering::Electrical and electronic engineering Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence Using event-based camera instead of conventional camera sensors comes with many merits such as reduction in the memory size and power consumption. By implementing the recognitive abilities to the sensor, further reduce the memory size by limiting the information that need to be transmitted. The objective of this paper seeks to explore and combine existing deep learning neural network model to reduce the memory, computation, and accuracy. Bachelor of Engineering (Electrical and Electronic Engineering) 2021-05-20T06:30:27Z 2021-05-20T06:30:27Z 2021 Final Year Project (FYP) Tan, S. G. (2021). Bio-inspired camera for surveillance in IoT (III). Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/148894 https://hdl.handle.net/10356/148894 en A2019-201 application/pdf Nanyang Technological University |
| spellingShingle | Engineering::Electrical and electronic engineering Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence Tan, Shi Guang Bio-inspired camera for surveillance in IoT (III) |
| title | Bio-inspired camera for surveillance in IoT (III) |
| title_full | Bio-inspired camera for surveillance in IoT (III) |
| title_fullStr | Bio-inspired camera for surveillance in IoT (III) |
| title_full_unstemmed | Bio-inspired camera for surveillance in IoT (III) |
| title_short | Bio-inspired camera for surveillance in IoT (III) |
| title_sort | bio inspired camera for surveillance in iot iii |
| topic | Engineering::Electrical and electronic engineering Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence |
| url | https://hdl.handle.net/10356/148894 |
| work_keys_str_mv | AT tanshiguang bioinspiredcameraforsurveillanceiniotiii |