Bio-Inspired Electronic Eyes and Synaptic Photodetectors for Mobile Artificial Vision
2022 · IEEE Journal on Flexible Electronics
저자
Changsoon Choi, Hyojin Seung, 김대형 (Dae‐Hyeong Kim)
연구주제
Advanced Memory and Neural Computing
NTIS 과학기술표준분류
가장 가까운 분류(전기/전자 > 광응용기기)가 화학·화공 범위 밖이다. 배정 근거: 지원 과제·키워드 근거가 없어 AI가 논문 제목·초록을 읽고 고른 분류.
AI 연구 키워드·방법
곡면 이미지 센서 어레이 전자 눈 뉴로모픽 이미지 센서 synaptic photodetector
키워드 (OpenAlex)
electronic eye bio-inspired vision neuromorphic vision aberration-free imaging image contrast enhancement signal-to-noise ratio image recognition depth of field
초록
Conventional imaging and data processing devices are not ideal for mobile artificial vision applications, such as vision systems for drones and robots, because of the heavy and bulky multilens optics in the camera modules. Furthermore, the physically isolated image data processing units of conventional systems induce large power consumption and data latency. For mobile artificial vision applications, electronic eyes, including neuromorphic ones, have been developed inspired by biological eyes and neural networks. Here, we summarize the development of such bio-inspired electronic eyes and synaptic photodetectors (PDs). Bio-inspired electronic eyes, typically consisting of curved image sensor arrays, enable aberration-free imaging and module size miniaturization in addition to other advantageous optical features, such as wide field-of-view and deep depth-of-field. Furthermore, photodetecti…
이 논문을 지원한 국가R&D 과제 (NTIS 성과)
NTIS 성과DB(2020–24)에서 DOI 매칭 없음
인접 그래프
노드 hover = 이웃 강조 · 1회 클릭 = 고정 · 고정된 노드 다시 클릭 = 페이지 이동
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교수 1
연구주제 1
Advanced Memory and Neural Computing