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Advanced CMOS Imager based systems

Advanced CMOS Imager based systems
基于先进 CMOS 成像仪的系统
批准号:
RGPIN-2020-04059
负责人:
YadidPecht, Orly
金额:
$3.35万
依托单位:
依托单位国家:
加拿大
项目类别:
Discovery Grants Program - Individual
财政年份:
2020
资助国家:
加拿大
项目状态:
已结题
起止时间:
2020-01-01 至 2021-12-31

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中文摘要
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英文摘要
Image sensors are basic components of a wide array of technologies such as cell phone cameras and biometric, machine vision and diagnostic/medical devices. Recent breakthroughs in Complementary Metal-Oxide Semiconductor (CMOS) image sensor based systems have led to unprecedented imaging and detection capabilities. Challenges around the intensity of light in a scene, power consumption, miniaturization, accuracy, and the range of information and substances that can be detected and identified, remain. The nature of our work is to design and prototype sensors with these characteristics. The proposed work aims to: 1) significantly improve the ability to sense and monitor rapidly moving objects in an environment where extremes of low and bright light can exist at the same time and in the same scene. Initially aimed at industrial processes such as welding and manufacturing, this machine vision sensor will improve image quality and support process and quality control management. In doing so it is possible to reduce and address, for example, manufacturing defects; a costly problem impacting production time and quality. 2) Develop highly sensitive optical filters which when placed on the sensor surface allow for the detection of biological substances, under varying pH and temperature conditions. Tested on our first application, gluten detection, this research is expected to lead to imaging filter designs for other allergens in the medium term (3-5 years). The first deliverables of this work would permit food manufacturers and individuals to test for allergens during production; a critical health issue. And 3) Create a state-of-the-art fast and flexible algorithm that reduces the computation power required to display a wide range of pixel values detected by an image sensor. The aim here is to vastly improve image quality while reducing time and power demands. Having many industry uses (e.g.: security, biometrics, diagnostics), this important imaging tool will be available as an App, and can be integrated in existing sensor technology platforms. These three technologies, individually or combined, have immediate application in diverse sectors (e.g.: energy, environment, manufacturing, health). Working with partners in these sectors we are developing devices that will incorporate the proposed technologies, providing technology leadership, HQP, and social and economic value to Canadian endeavours.
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Advanced CMOS Imager based systems
  • 批准号:
    RGPIN-2020-04059
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $3.35万
  • 财政年份:
    2022
  • 负责人:
    YadidPecht, Orly
  • 依托单位:
Advanced CMOS Imager based systems
  • 批准号:
    RGPIN-2020-04059
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $3.35万
  • 财政年份:
    2021
  • 负责人:
    YadidPecht, Orly
  • 依托单位:
Improved biochemical hybrid for a cost-effective gluten sensor - I2I Phase I
  • 批准号:
    548843-2020
  • 项目类别:
    Idea to Innovation
  • 资助金额:
    $9.11万
  • 财政年份:
    2020
  • 负责人:
    YadidPecht, Orly
  • 依托单位:
Integrated CMOS Image Sensor based systems for Bio-Medical applications
  • 批准号:
    RGPIN-2014-06001
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $3.06万
  • 财政年份:
    2018
  • 负责人:
    YadidPecht, Orly
  • 依托单位:
国内基金
海外基金
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  • 批准号:
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  • 项目类别:
    省市级项目
  • 资助金额:
    --
  • 批准年份:
    2026
  • 负责人:
    吴伟平
  • 依托单位:
12英寸CMOS兼容硅基光子集成芯片制备技术
  • 批准号:
    2025C01002
  • 项目类别:
    省市级项目
  • 资助金额:
    --
  • 批准年份:
    2025
  • 负责人:
    林宏焘
  • 依托单位:
基于CMOS图像传感器的X射线超快分幅成像技术研究
  • 批准号:
  • 项目类别:
    省市级项目
  • 资助金额:
    10.0万元
  • 批准年份:
    2025
  • 负责人:
    蔡厚智
  • 依托单位:
面向高性能计算的低温CMOS工艺设计库和芯片
  • 批准号:
    2025C01193
  • 项目类别:
    省市级项目
  • 资助金额:
    --
  • 批准年份:
    2025
  • 负责人:
    程然
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