Optoelectronic memristive devices for optical reservoir computing
The current frame-based cameras employ various components such as sensors, signal converters, memory, and processors to analyze extensive frame-by-frame image sequences for motion recognition and prediction. This produces extensive redundant image data that cause the current machine vision system to...
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| Format: | Final Year Project |
| Language: | English |
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Nanyang Technological University
2024
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| Online Access: | https://hdl.handle.net/10356/177066 |
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| Institution: | Nanyang Technological University |
| Language: | English |
| Summary: | The current frame-based cameras employ various components such as sensors, signal converters, memory, and processors to analyze extensive frame-by-frame image sequences for motion recognition and prediction. This produces extensive redundant image data that cause the current machine vision system to face challenges related to high latency and power consumption. While addressing these concerns, it sparks the growing interest in creating cameras that emulate the functionalities of the human retina that is designed to solely detect and encode alterations in the visual scene, akin to its biological counterpart. Through the use of Reservoir Computing we are able to reduce the time taken to process data. By using the Physical Reservoir Computing using the physical dynamics of physical object to replace the reservoir. |
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