Non-volatile rippled-assisted optoelectronic array for all-day motion detection and recognition

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Abstract In-sensor processing has the potential to reduce the energy consumption and hardware complexity of motion detection and recognition (MDR). However, the state-of-the-art all-in-one array integration technologies with simultaneous broadband spectrum image capture (sensory), image memory (storage) and image processing (computation) functions like snake vision systems are still insufficient. Here, macroscale (2 × 2 mm2) integration of a rippled-assisted optoelectronic (RAO) array (18 × 18 pixels) mimics the characteristics of snake vision systems for all-day motion detection and recognition. The RAO array exhibits remarkable uniformity in the memory window, optically stimulated non-volatile positive and negative photoconductance (NV-PPC and NV-NPC). Importantly, the array achieves an extensive optical storage dynamic range exceeding 106, and exceptionally high room-temperature mobility up to 406.7 cm2 V-1 s-1, four times higher than the International Roadmap for Device and Systems (IRDS) 2028 target. Additionally, the spectral range of each RAO processor covers visible to near-infrared (405 nm to 940 nm), achieving detection and recognition of a man riding an electrical bicycle in both bright and dark environments.
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Non-volatile rippled-assisted optoelectronic array for all-day motion detection and recognition | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Article Non-volatile rippled-assisted optoelectronic array for all-day motion detection and recognition Yang Wang, Xingchen Pang, zhenhan zhang, Du Xiang, Haoqi Wu, Yongbo Jiang, and 5 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-2976515/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted You are reading this latest preprint version Abstract In-sensor processing has the potential to reduce the energy consumption and hardware complexity of motion detection and recognition (MDR). However, the state-of-the-art all-in-one array integration technologies with simultaneous broadband spectrum image capture (sensory), image memory (storage) and image processing (computation) functions like snake vision systems are still insufficient. Here, macroscale (2 × 2 mm 2 ) integration of a rippled-assisted optoelectronic (RAO) array (18 × 18 pixels) mimics the characteristics of snake vision systems for all-day motion detection and recognition. The RAO array exhibits remarkable uniformity in the memory window, optically stimulated non-volatile positive and negative photoconductance (NV-PPC and NV-NPC). Importantly, the array achieves an extensive optical storage dynamic range exceeding 106, and exceptionally high room-temperature mobility up to 406.7 cm 2 V -1 s -1 , four times higher than the International Roadmap for Device and Systems (IRDS) 2028 target. Additionally, the spectral range of each RAO processor covers visible to near-infrared (405 nm to 940 nm), achieving detection and recognition of a man riding an electrical bicycle in both bright and dark environments. Physical sciences/Engineering/Electrical and electronic engineering Physical sciences/Physics/Electronics, photonics and device physics/Photonic devices Physical sciences/Nanoscience and technology/Nanoscale devices/Nanosensors Physical sciences/Nanoscience and technology/Nanoscale materials/Two-dimensional materials Full Text Additional Declarations There is NO Competing Interest. Supplementary Files Supplementary.pdf Cite Share Download PDF Status: Under Review Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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