Progress of Materials and Devices for Neuromorphic Vision Sensors
Abstract The latest developments in bio-inspired neuromorphic vision sensors can be summarized in 3 keywords: smaller, faster, and smarter. (1) Smaller: Devices are becoming more compact by integrating previously separated components such as sensors, memory, and processing units. As a prime example,...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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SpringerOpen
2022-10-01
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| Series: | Nano-Micro Letters |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s40820-022-00945-y |
| _version_ | 1798029871567339520 |
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| author | Sung Woon Cho Chanho Jo Yong-Hoon Kim Sung Kyu Park |
| author_facet | Sung Woon Cho Chanho Jo Yong-Hoon Kim Sung Kyu Park |
| author_sort | Sung Woon Cho |
| collection | DOAJ |
| description | Abstract The latest developments in bio-inspired neuromorphic vision sensors can be summarized in 3 keywords: smaller, faster, and smarter. (1) Smaller: Devices are becoming more compact by integrating previously separated components such as sensors, memory, and processing units. As a prime example, the transition from traditional sensory vision computing to in-sensor vision computing has shown clear benefits, such as simpler circuitry, lower power consumption, and less data redundancy. (2) Swifter: Owing to the nature of physics, smaller and more integrated devices can detect, process, and react to input more quickly. In addition, the methods for sensing and processing optical information using various materials (such as oxide semiconductors) are evolving. (3) Smarter: Owing to these two main research directions, we can expect advanced applications such as adaptive vision sensors, collision sensors, and nociceptive sensors. This review mainly focuses on the recent progress, working mechanisms, image pre-processing techniques, and advanced features of two types of neuromorphic vision sensors based on near-sensor and in-sensor vision computing methodologies. |
| first_indexed | 2024-04-11T19:32:13Z |
| format | Article |
| id | doaj.art-c73f5f1531b24dfa9ffd2e37362880d5 |
| institution | Directory Open Access Journal |
| issn | 2311-6706 2150-5551 |
| language | English |
| last_indexed | 2024-04-11T19:32:13Z |
| publishDate | 2022-10-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | Nano-Micro Letters |
| spelling | doaj.art-c73f5f1531b24dfa9ffd2e37362880d52022-12-22T04:06:58ZengSpringerOpenNano-Micro Letters2311-67062150-55512022-10-0114113310.1007/s40820-022-00945-yProgress of Materials and Devices for Neuromorphic Vision SensorsSung Woon Cho0Chanho Jo1Yong-Hoon Kim2Sung Kyu Park3Department of Advanced Components and Materials Engineering, Sunchon National UniversityDepartment of Electrical and Electronics Engineering, Chung-Ang UniversitySchool of Advanced Materials Science and Engineering, Sungkyunkwan UniversityDepartment of Electrical and Electronics Engineering, Chung-Ang UniversityAbstract The latest developments in bio-inspired neuromorphic vision sensors can be summarized in 3 keywords: smaller, faster, and smarter. (1) Smaller: Devices are becoming more compact by integrating previously separated components such as sensors, memory, and processing units. As a prime example, the transition from traditional sensory vision computing to in-sensor vision computing has shown clear benefits, such as simpler circuitry, lower power consumption, and less data redundancy. (2) Swifter: Owing to the nature of physics, smaller and more integrated devices can detect, process, and react to input more quickly. In addition, the methods for sensing and processing optical information using various materials (such as oxide semiconductors) are evolving. (3) Smarter: Owing to these two main research directions, we can expect advanced applications such as adaptive vision sensors, collision sensors, and nociceptive sensors. This review mainly focuses on the recent progress, working mechanisms, image pre-processing techniques, and advanced features of two types of neuromorphic vision sensors based on near-sensor and in-sensor vision computing methodologies.https://doi.org/10.1007/s40820-022-00945-yIn-sensor computingNear-sensor computingNeuromorphic vision sensorOptoelectronic synaptic circuitOptoelectronic synapse |
| spellingShingle | Sung Woon Cho Chanho Jo Yong-Hoon Kim Sung Kyu Park Progress of Materials and Devices for Neuromorphic Vision Sensors Nano-Micro Letters In-sensor computing Near-sensor computing Neuromorphic vision sensor Optoelectronic synaptic circuit Optoelectronic synapse |
| title | Progress of Materials and Devices for Neuromorphic Vision Sensors |
| title_full | Progress of Materials and Devices for Neuromorphic Vision Sensors |
| title_fullStr | Progress of Materials and Devices for Neuromorphic Vision Sensors |
| title_full_unstemmed | Progress of Materials and Devices for Neuromorphic Vision Sensors |
| title_short | Progress of Materials and Devices for Neuromorphic Vision Sensors |
| title_sort | progress of materials and devices for neuromorphic vision sensors |
| topic | In-sensor computing Near-sensor computing Neuromorphic vision sensor Optoelectronic synaptic circuit Optoelectronic synapse |
| url | https://doi.org/10.1007/s40820-022-00945-y |
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