Machine learning circuit design for processing neural networks in image sensor
Convolutional neural network (CNNs) have shown significant growth in the recent years as an effective algorithm to solve complex image recognition problems. Currently CNNs are being employed in a wide range of fields to tackle even higher number of problems which include face recognition, image clas...
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| Format: | Thesis-Master by Coursework |
| Language: | English |
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Nanyang Technological University
2020
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| Online Access: | https://hdl.handle.net/10356/141480 |
| _version_ | 1811692369691541504 |
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| author | Nabeel Najeeb Kassim |
| author2 | Kim Bongjin |
| author_facet | Kim Bongjin Nabeel Najeeb Kassim |
| author_sort | Nabeel Najeeb Kassim |
| collection | NTU |
| description | Convolutional neural network (CNNs) have shown significant growth in the recent years as an effective algorithm to solve complex image recognition problems. Currently CNNs are being employed in a wide range of fields to tackle even higher number of problems which include face recognition, image classification and image segmentation. The past decade has witnessed an increasing need for continuous mobile vision which require image capturing and processing of vision features. Limitations largely due to intensive computation that requires expensive dedicated graphical processing unit has restricted further harnessing of the mobile vision technology. Moreover, the large analog input data required for processing increases the analog readout which has its own associated problems. This dissertation introduces the convsensor which is based on In-sensor computing technology. The convsensor has hardware pre-processing of input data which would effectively be reducing the complexity of the data to be processed in further stages of image classification and segmentation. |
| first_indexed | 2024-10-01T06:34:42Z |
| format | Thesis-Master by Coursework |
| id | ntu-10356/141480 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T06:34:42Z |
| publishDate | 2020 |
| publisher | Nanyang Technological University |
| record_format | dspace |
| spelling | ntu-10356/1414802023-07-04T15:35:59Z Machine learning circuit design for processing neural networks in image sensor Nabeel Najeeb Kassim Kim Bongjin School of Electrical and Electronic Engineering Centre for Integrated Circuits and Systems bjkim@ntu.edu.sg Engineering::Electrical and electronic engineering::Electronic circuits Convolutional neural network (CNNs) have shown significant growth in the recent years as an effective algorithm to solve complex image recognition problems. Currently CNNs are being employed in a wide range of fields to tackle even higher number of problems which include face recognition, image classification and image segmentation. The past decade has witnessed an increasing need for continuous mobile vision which require image capturing and processing of vision features. Limitations largely due to intensive computation that requires expensive dedicated graphical processing unit has restricted further harnessing of the mobile vision technology. Moreover, the large analog input data required for processing increases the analog readout which has its own associated problems. This dissertation introduces the convsensor which is based on In-sensor computing technology. The convsensor has hardware pre-processing of input data which would effectively be reducing the complexity of the data to be processed in further stages of image classification and segmentation. Master of Science (Electronics) 2020-06-08T12:06:38Z 2020-06-08T12:06:38Z 2020 Thesis-Master by Coursework https://hdl.handle.net/10356/141480 en application/pdf Nanyang Technological University |
| spellingShingle | Engineering::Electrical and electronic engineering::Electronic circuits Nabeel Najeeb Kassim Machine learning circuit design for processing neural networks in image sensor |
| title | Machine learning circuit design for processing neural networks in image sensor |
| title_full | Machine learning circuit design for processing neural networks in image sensor |
| title_fullStr | Machine learning circuit design for processing neural networks in image sensor |
| title_full_unstemmed | Machine learning circuit design for processing neural networks in image sensor |
| title_short | Machine learning circuit design for processing neural networks in image sensor |
| title_sort | machine learning circuit design for processing neural networks in image sensor |
| topic | Engineering::Electrical and electronic engineering::Electronic circuits |
| url | https://hdl.handle.net/10356/141480 |
| work_keys_str_mv | AT nabeelnajeebkassim machinelearningcircuitdesignforprocessingneuralnetworksinimagesensor |