Near-Sensor Neuromorphic Computing System Based on a Thermopile Infrared Detector and a Memristor for Encrypted Visual Information Transmission

Near-sensor neuromorphic computing systems that utilize photodetectors and memristors exhibit significant promise in the domains of visual information processing, transmission, and noise reduction recognition. In comparison to conventional photodetectors operating within the visible-light spectrum, thermopile infrared detectors offer distinct advantages in terms of concealment and security. This study proposes an integrated near-sensor computing system that combines a thermoelectric infrared detector with a memristor, which demonstrates a broad detection range (100-310 °C), rapid response time for sensing infrared signals, and excellent neuromorphic computing characteristics for information processing. Besides high-accuracy recognition of handwritten digits, near-infrared visual information recognition and voice recognition for double information encryption were demonstrated in the system. This neuromorphic computing system holds considerable potential for applications in the propagation, encryption, and recognition of security information within the infrared spectrum.

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Publication Details

Journal
Nano Letters
Published
2025-05-06
DOI
https://doi.org/10.1021/acs.nanolett.5c01843
Citations
10
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
7.30

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article

Near-Sensor Neuromorphic Computing System Based on a Thermopile Infrared Detector and a Memristor for Encrypted Visual Information Transmission

Cheng Lei, Zhenyu Zhang, Zheng Wang, Tianyu Wang et al.
10 citations
Nano Letters
Advanced Memory and Neural Computing
7.30
article

Near-Sensor Neuromorphic Computing System Based on a Thermopile Infrared Detector and a Memristor for Encrypted Visual Information Transmission

Cheng Lei, Zhenyu Zhang, Zheng Wang, Tianyu Wang, Jialin Meng, Jinhao Zhang
article en
10 citations

Abstract

Near-sensor neuromorphic computing systems that utilize photodetectors and memristors exhibit significant promise in the domains of visual information processing, transmission, and noise reduction recognition. In comparison to conventional photodetectors operating within the visible-light spectrum, thermopile infrared detectors offer distinct advantages in terms of concealment and security. This study proposes an integrated near-sensor computing system that combines a thermoelectric infrared detector with a memristor, which demonstrates a broad detection range (100-310 °C), rapid response time for sensing infrared signals, and excellent neuromorphic computing characteristics for information processing. Besides high-accuracy recognition of handwritten digits, near-infrared visual information recognition and voice recognition for double information encryption were demonstrated in the system. This neuromorphic computing system holds considerable potential for applications in the propagation, encryption, and recognition of security information within the infrared spectrum.

Nano LettersVol. 25(19)
North University of China (CN), Shandong University (CN), Chinese Academy of Sciences (CN), Fudan University (CN), Suzhou Research Institute (CN), Shanghai Institute of Microsystem and Information Technology (CN)
Shandong University, Department of Science and Technology of Shandong Province, National Natural Science Foundation of China, Science and Technology Commission of Shanghai Municipality, Natural Science Foundation of Shandong Province, Taishan Scholar Foundation of Shandong Province, Basic Research Program of Jiangsu Province, Basic and Applied Basic Research Foundation of Guangdong Province
Affordable and clean energy
Openalex Percentile: Top 3%
Advanced Memory and Neural Computing
7.30
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