SWIFT EI: event-based SWIR sensor for tactical applications

计算机科学 频道(广播) 图像传感器 帧速率 实时计算 背景(考古学) 事件(粒子物理) 计算机视觉 人工智能 电信 物理 量子力学 生物 古生物学
作者
Rami Fraenkel,C.G. Jakobson,Nimrod Ben Ari,Roman Dobromislin,N. Shiloah,Matan Goldfarb,L. Langof,Oren Ofer,Rahel Elishkov,Edan Shunem,Michael Labilov,Menashe Alcheck,Ehud Almog,M. Nitzani,Yoram Karni,Tuvy Markovitz,Or Dicker,Benny Milgrom
标识
DOI:10.1117/12.2663026
摘要

Event-based imagers are an emerging class of sensors with demonstrated advantages relative to traditional imagers. Event-based vision sensors have a limited number of output bits that are only responsive to image variations, thus overcoming the speed and power constraints of the conventional imagers based on image integration. The SWIFT EI the first event-based InGaAs sensor that is sensitive in the Visible to SWIR band (600–1700nm). The main novelty of this sensor is that the event channel outputs in parallel to a conventional fast imaging channel. Moreover, we can reconfigure the event channel to provide a fast laser pulse detection mode (3rd generation ALPD), which also outputs in parallel to the integrated image. In that context we described in detail the architecture, key features, and preliminary simulations of the ROIC. The SWIFT EI is a low SWaP product optimized for tactical wide distribution applications that incorporates the event based FPA. We will present measurement results of the high frame rate (HFR) imaging channel; the event channel that can reach up to 25 kHz of negative, null, or positive signal, and the laser detection channel providing a single bit detection frame up to 50 kHz. This feature is ideal for multi spot tracking and pulse repetition frequency (PRF).

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
murraya发布了新的文献求助10
刚刚
1秒前
1秒前
dde应助科研通管家采纳,获得10
1秒前
sanvva应助科研通管家采纳,获得50
1秒前
不想做实验完成签到 ,获得积分10
1秒前
1秒前
星辰大海应助科研通管家采纳,获得10
1秒前
DengLipan应助科研通管家采纳,获得30
2秒前
2秒前
共享精神应助科研通管家采纳,获得10
2秒前
所所应助科研通管家采纳,获得10
2秒前
奔跑应助科研通管家采纳,获得10
2秒前
2秒前
dde应助科研通管家采纳,获得10
2秒前
2秒前
2秒前
Hello应助科研通管家采纳,获得10
3秒前
初景应助科研通管家采纳,获得20
3秒前
sanvva应助科研通管家采纳,获得50
3秒前
小蘑菇应助科研通管家采纳,获得10
3秒前
seall完成签到,获得积分10
5秒前
铭铭子发布了新的文献求助10
6秒前
6秒前
6秒前
不想熬夜完成签到,获得积分10
7秒前
李青山完成签到,获得积分10
7秒前
8秒前
8秒前
樱sky完成签到,获得积分10
9秒前
乔一发布了新的文献求助10
10秒前
776发布了新的文献求助10
10秒前
救驾来迟完成签到,获得积分10
10秒前
星辰大海应助71采纳,获得10
11秒前
WbinWu完成签到,获得积分10
11秒前
11秒前
揽星色完成签到,获得积分10
13秒前
15秒前
Jeffery426完成签到,获得积分10
16秒前
17秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Reducing Compassion Fatigue, Secondary Traumatic Stress and Burnout 600
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Mammalian Synthetic Biology 500
Auslegungsgeschichte 500
Cosmos as Art Object: Studies in Plato's Timaeus and Other Dialogues 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7638193
求助须知:如何正确求助?哪些是违规求助? 9211518
关于积分的说明 19758981
捐赠科研通 7205200
什么是DOI,文献DOI怎么找? 3275818
关于科研通互助平台的介绍 2437416
邀请新用户注册赠送积分活动 2273004