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conference on Photonic Instrumentation Engineering x

作者： Jahn, Wilfried Mehri, Tahar SILINA 880 Route Mimet Gardanne France

ISBN: (纸本)9781510659612;9781510659629

Curved imaging sensors bring significant size, weight and cost reduction to imaging systems while mitigating off-axis optical aberrations, as opposed to current flat sensors. Unlocking these key features has captured the interest of major players over the last two decades. SILINA has been developing a CMOS Image sensor (CIS) curving process, which adapts to various sensor characteristics. This enables to maximize the optical performance of every single imaging system. We have demonstrated the manufacturing of curved CMOS Front-Side Illuminated (FSI) and Back Side Illuminated (BSI), opening a new area of compact, fast, wide-angle and high-resolution optical lenses. This new degree of freedom offered to optical designer can significantly simplify optical systems through a significant improvement of the optical performance while simplifying the system architecture in many different ways. The field of view (FOV), the contrast, the aperture can be increased while optical aberrations can be minimized. At the end, the different costs related to manufacturing, metrology, integration, and alignment are reduced. This is of great importance for applications requiring compact and high resolution lens, notably in low-light environment. To quantify the gain brought by curved image sensor for smartphone camera lens, we are performing several comparative optical lens designs. We compare traditional flat-image sensor based camera lens to camera lens optimized specifically with a curved image sensor. In this paper, we present the result obtained on wide-angle smartphone camera lens design considering a spherical concave image sensor. We compare the optical characteristics and performance with a reference optical design using a flat image sensor. We discuss the various benefits in terms of optical performance and Z-stack reduction.

关键词： Curved CMOS Image sensor Optical design Smartphone Camera lens

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Development of a compact adjustable fiber collimator mount for optomechanical accelerometers 27

Development of a compact adjustable fiber collimator mount f...

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conference on Novel Optical systems, Methods, and applications xxVII

作者： Harley-Trochimczyk, Ian Guo, xiangyu Guzman, Felipe Univ Arizona Wyant Coll Opt Sci 1630 E Univ Blvd Tucson AZ 85721 USA

ISBN: (纸本)9781510679207;9781510679214

Precise alignment of laser beams used in heterodyne interferometry is vital and necessary to the precision, accuracy, and quality of the measurement, but off the shelf-based breadboard setups have a large physical footprint and many components that can introduce unwanted noise. Our lab creates optomechanical accelerometer devices including a fused silica resonator with a 5Hz natural frequency and uses a heterodyne displacement interferometer to readout the position of the test mass, which can then be used to determine the acceleration of the device. A novel compact fiber injector system design is presented here that reduces the footprint of the fiber collimator input of the heterodyne interferometer by an order of magnitude from a breadboard setup, down to 24 x 16 x 19 mm. This new injector system integrates both fibers of different frequencies directly onto the mount with the resonator, increasing stability and reducing entry points for vibrational noise while minimizing the optical path length difference between beams. Each beam can then be independently tilted and de-centered to maximize the fringe visibility at the output of the interferometer, using spring-loaded adjustment screws and secured in place with locking screws. An accelerometer using these injectors measured a displacement of 10(-9) m/vHz at 10(-2) Hz in air with the test mass anchored, nearly identical to the previous breadboard setup while being much more compact and portable. I will present the design, integration onto an accelerometer, and the initial acceleration noise measurements taken using these fiber injector systems.

关键词： Inertial sensor accelerometer optomechanics resonator fiber collimator optical alignment

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Characterizing CNN-Based Vessel Detection Algorithm Sensitivity to Optical sensor Artifacts 22

Characterizing CNN-Based Vessel Detection Algorithm Sensitiv...

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22nd IEEE International conference on Machine Learning and applications, ICMLA 2023

作者： Warner, John G. Davidson, Quinton Tietz, Michael Scharpf, William Keene, Charles Naval Center for Space Technology Us Naval Research Laboratory WashingtonDC United States

ISBN: (纸本)9798350345346

The number of space-based optical imaging systems have substantially grown in recent years. Many of these commercial based vendors are exploring concepts to move processing applications directly to the space segment or to incorporate advanced algorithms in their ground segment. Typically, Convolutional Neural Network (CNN)-based detection algorithms are considered due to their high reliability in laboratory settings. However, this class of algorithms routinely demonstrates degraded performance when unexpected phenomena are introduced to the data. As more near-real-time applications are considered, CNN-based algorithms will be subjected to sensor calibration artifacts. This paper seeks to characterize the response of CNN-based vessel detection algorithms to common electro-optical sensor calibration artifacts. Several artifacts are explored, including added sensor noise and failed detector artifacts. Each of the explored artifacts uniquely impact the algorithm detection performance. It is found that applying Poisson distributed random noise to the imagery substantially degrades model performance by increasing false alarm rate. Likewise, the application of a uniformly distributed random scale factor to the imagery degrades model performance by lowering positive detection rate. These results may inform plans to implement CNN-based algorithms directly in the space-segment by characterizing typical performance variations due to underlying sensor calibration issues. © 2023 IEEE.

关键词： Automatic Target Recognition CNN maritime onboard processing spacecraft

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Design of wearable sports monitoring equipment based on Low-cost sensor 2

Design of wearable sports monitoring equipment based on Low-...

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2nd International conference on advanced Manufacturing Technology and Manufacturing systems, ICAMTMS 2023

作者： Wang, Ruoyu Intelligence engineering school Shandong University of Management Shandong 3500 Dingxiang Road Jinan China

ISBN: (纸本)9781510667327

Physiological parameters during the exercise are instructive. According the heart rate, body temperature and etc, users could improve their sport performance, and be beneficial to their health. In addition, such equipment is generally large and weight, inconvenient to carry, and relatively expensive. Therefore, it is of practical significance to study and design a health feedback device with light weight, easy to carry and low price, and use its physiological parameters to guide exercise. Therefore, this article designs a sports monitoring device based on Low-cost sensor, controlling the number of steps, heart rate temperature sensor through MCU, and feeding back the physical parameters such as distance, steps, average speed, heart rate, body temperature and other physiological parameters through LCD in real time to improve the effect of sports. After the hardware circuit is simulated by Multisim, use Altium Designer to design the PCB board of the circuit, and realize the system function with the help of Keil uVision5 modular programming. The system test results show that the system works normally, runs stably, and can accurately provide various physiological parameters. In addition, the whole device is light in weight and high in performance, which can well meet the portability under sports conditions and has certain practical value. © 2023 SPIE.

关键词： Sports

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Characterization of a PVDF sensor embedded in a metal structure using ultrasonic additive manufacturing

Characterization of a PVDF sensor embedded in a metal struct...

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conference on NDE 4.0, Predictive Maintenance, Communication, and Energy systems - The Digital Transformation of NDE

作者： Khattak, Mohid M. Headings, Leon M. Dapino, Marcelo J. Ohio State Univ NSF IUCRC Smart Vehicle Concepts Ctr Dept Mech & Aerosp Engn Columbus OH 43210 USA

ISBN: (纸本)9781510660854;9781510660861

This paper investigates the characterization and functional performance of a piezoelectric polyvinylidene fluoride (PVDF) sensor embedded into an aluminum plate using ultrasonic additive manufacturing (UAM). While conventional manufacturing techniques such as non-resin-based powder metallurgy are being used to surface-mount smart materials to metals, they pose their own set of problems. Standard manufacturing approaches can physically damage the sensor or deteriorate electrochemical properties of the active material due to high processing temperatures or long adhesive settling times. In contrast, UAM integrates solid-state metal joining with subtractive processes to enable the fabrication of smart structures by embedding sensors, actuators, and electronics in metal-matrices without thermal loading. In this paper, a commercial PVDF sensor is embedded in aluminum with a pre-compression to provide frictional coupling between the sensor and the metal-matrix, thus eliminating the need for adhesives. Axial impact and bending (shaker) tests are conducted on the specimen to characterize the PVDF sensor's frequency bandwidth and impact detection performance. Metal-matrices with active components have been under investigation to functionalize metals for various applications including aerospace, automotive, and biomedical. UAM embedment of sensors in metals enables functionalization of structures for measurement of stresses and temperature within the structure while also serving to shield smart components from environmental hazards. This technique can serve a wide-range of applications including robotics and tactile sensing, energy harvesting, and structural health monitoring.

关键词： Active metal matrix embedded sensor ultrasonic additive manufacturing piezoelectric PVDF sensor non-destructive testing

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A Resource-efficient Lip Detector Based on Hybrid Feature Criteria and Predictive Bounding Box Tracking for Mobile HCI applications 67

A Resource-efficient Lip Detector Based on Hybrid Feature Cr...

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67th IEEE International Midwest Symposium on Circuits and systems (MWSCAS)

作者： Liu, Kaiji Zhang, Siqi Abubakar, Syed Muhammad Guo, Nan Wu Yanshu Wang, Zhihua Jiang, Hanjun Tsinghua Univ Sch Integrated Circuits Beijing Peoples R China

ISBN: (纸本)9798350387186;9798350387179

Lip detecion(LD) holds great promise for mobile human-computer interaction(HCI) terminals such as hearing aids, robots, smartphones etc. However they suffer from the massive computation and resource overhead from mainstream models as Viola-Jones framework, convolutional neural networks(CNN), recurrent neural networks(RNN) and vision transformer(ViT). To solve this problem, we propose a resource-efficient lip detector(RELD) for mobile HCI applications. For lip region of interest(ROI) detection, a hybrid feature criteria is constructed utilizing the hump-like curve formed by row-summation of lip ROI. And a L-order predictive tracking method is proposed to track the lip bounding box in conitnuous image flows with low computation and latency. For behavioural validation, RELD ahieves test accuracy over 95% on a database of 204000 images generated from GRID dataset. To verify its hardware feasibility, an RTL implementation has been accomplished based on 200 x 200 images read from OV7670 image sensor, showing that RELD requires only 352 bytes of SRAM and <= 5000 MAC operations per frame to perform lip detection task.

关键词： lip detection resrouce efficient human computer interaction row summation hybrid feature criteria predictive tracking

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Interpreting microscopic structures in virtually stained histological sections for veterinary oncology applications 22

Interpreting microscopic structures in virtually stained his...

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conference on advanced Biomedical and Clinical Diagnostic and Surgical Guidance systems xxII

作者： Duplevska, Diana Maliks, Romans Tamosiunas, Mindaugas Melderis, Mikus Viskere, Daira Cugmas, Blaz Kadikis, Roberts Matise-van Houtana, Ilze Inst Elect & Comp Sci Dzerbenes 14 LV-1006 Riga Latvia Univ Latvia Inst Atom Phys & Spect 19 Raina Blvd LV-1586 Riga Latvia Latvia Univ Life Sci & Technol Preclin Inst Fac Vet Med K Helmana 8 LV-3004 Jelgava Latvia

ISBN: (纸本)9781510669222;9781510669215

We employed a Pix2Pix generative adversarial network to translate the multispectral fluorescence images into colored brightfield representations resembling H&E staining. The model underwent training using 512x512 pixel paired image patches, with a manually stained image serving as the reference and the fluorescence images serving as the processing input. The baseline model, without any modifications, did not achieve high microscopic accuracy, manifesting incorrect color attribution to various biological structures and the addition or removal of image features. However, through the substitution of simple convolutions with Dense convolution units in the U-Net Generator, we observed an increase in the similarity of microscopic structures and the color balance between the paired images. The resulting improvements underscore the potential utility of virtual staining in histopathological analysis for veterinary oncology applications.

关键词： virtual staining generative adversarial networks H&E staining fluorescence histological evaluation veterinary oncology

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Aging-Aware LTPO DTCO for Large-Scale Integrated Circuit-Driven Flexible Intelligent Sensing System

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IEEE TRANSACTIONS ON ELECTRON DEVICES 2024年第5期71卷 3322-3328页

作者： Zhang, Shuaidi Sun, xiaofan Tang, Weiye Song, Yuanwei Zhou, Haitao Huang, Lu Sun, Zhongyi Li, Weiwei Ren, Qirui Geng, Di Wu, Zhicheng Yu, Zhinong Wang, Lingfei Zhang, Feng Li, Ling Chinese Acad Sci IMECAS Inst Microelect State Key Lab Fabricat Technol Integrated Circuits Beijing 100029 Peoples R China Univ Chinese Acad Sci Sch Integrated Circuits Beijing 100049 Peoples R China Beijing Inst Technol Sch Opt & Photon Beijing Engn Res Ctr Mixed Real & Adv Display Beijing 100081 Peoples R China

The near-sensor paradigm is widely used in the artificial Intelligence of Things (AIoT) and other emerging applications that require high-performance digital circuits to perform embedded control and signal-processing calculations. This work presents a low-temperature polycrystalline silicon and oxide (LTPO) CMOS-based large-scale integrated circuit (IC) design approach to the flexible sensing and processing system via a unified high-accuracy compact model for LTPO thin-film transistors (TFTs), realizing circuit simulations and reliability evaluations. Grounded in multiple-trapping and releasing theory, the compact model is developed for both low-temperature poly-Si (LTPS) and indium-gallium-zinc oxide (IGZO) TFTs, with an error of much less than 100 mu V for surface potential. This study delves into the significant aging effect of the positive bias temperature instabilities (PBTI) in IGZO TFTs using calibrated multivariable kinetic equations. The findings suggest that this approach has the potential to enhance the compact integration of sensing and processing systems through the use of advanced LTPO technology ( similar to 6 mu m). Furthermore, LTPO-CMOS-TFTs are used to implement digital circuits, achieving energy efficiency that is 3 x higher than the state-of-the-art flexible processors. Compared with widely used pseudo-CMOS logic, complementary logic achieves the improvements of energy consumption and speed by the factors of 122.7 and 3.19, respectively.

关键词： Thin film transistors sensors Mathematical models Inverters Integrated circuit modeling Integrated circuit reliability Temperature Design-technology co-optimization (DTCO) flexible system low-temperature polycrystalline silicon and oxide (LTPO) near-sensor computing

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advanced 6D sensor Development to Support Utilization of Cobot in High-Accuracy Inspection 19

Advanced 6D Sensor Development to Support Utilization of Cob...

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19th IEEE International conference on Automation Science and Engineering, CASE 2023

作者： Qiao, Guixiu The National Institute of Standards and Technology GaithersburgMD20899 United States

ISBN: (纸本)9798350320695

Collaborative robots, also called Cobots, with the advantages of being safer and more cost-effective, are playing an important role in Industry 4.0. Being more flexible, cobots have been deployed in a wide variety of domains, for example, machine tending, material handling, packaging, assembly, drilling, riveting, welding, inspection, and three-dimensional (3D) printing. However, cobots have their challenges in accuracy and rigidity compared with traditional industrial robots. These challenges have become obstacles when implementing cobots in high-accuracy applications. Thus, developing technologies to support cobots to overcome the accuracy challenges is critical to the success of utilizing cobots in these applications. This paper presents an advanced sensor development project at the National Institute of Standards and Technology (NIST) to support using a Universal Robot (UR) in high-accuracy inspection via accuracy enhancement. The smart target is designed as a motorized target working with a vision-based system to acquire six-dimensional (6D) information (x, y, z, roll, pitch, and yaw) of a robot. Methodologies were developed to support the cobot's accuracy enhancement. A use case was built at the NIST's prognostics and health management lab using real-time sensor feedback and closed-loop control to improve the robot's performance. © 2023 IEEE.

关键词： Inspection

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A MEMS Pressure sensor Array for Sleep Apnea Recognition and Monitoring Based on The Principle of Traditional Chinese Medicine 38

A MEMS Pressure Sensor Array for Sleep Apnea Recognition and...

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38th IEEE International conference on Micro Electro Mechanical systems, MEMS 2025

作者： Qin, Lin Cheng, Long Zeng, xianzhang xia, Yuanlin Wang, Zhuqing Sichuan University School of Mechanical Engineering China Sichuan University Med + X Center for Manufacturing West China Hospital Chengdu China

ISBN: (纸本)9798331508890

This paper reports a novel MEMS-based pressure sensor array, inspired by traditional Chinese medicine, for detecting and identifying pulse signals. A multi-dimensional pulse acquisition array was developed by emulating traditional Chinese pulse diagnosis techniques to capture pulse signals at the cun, guan, and chi positions along the radial artery. A database was created with pulse signals recorded under normal breathing and breath-holding conditions. These features were used to train a support vector machine (SVM) classification model. The experimental results show that the model achieved high accuracy (99.33%) and sensitivity (98%) in detecting sleep apnea. Overall, this system could offer innovative technical support and promising applications for modernizing traditional Chinese diagnostic methods and developing smart healthcare devices. © 2025 IEEE.

关键词： Sleep research

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