Thermal imaging for efficient detection of vital signs during COVID-19 pandemic

热成像可在 COVID-19 大流行期间有效检测生命体征

• 批准号: 554845-2020
• 负责人: Bolic, Miodrag
• 金额: $ 3.64万
• 依托单位: University of Ottawa
• 依托单位国家: 加拿大
• 项目类别: Alliance Grants
• 财政年份: 2020
• 资助国家: 加拿大
• 起止时间: 2020-01-01 至 2021-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=705793
• 关键词: Thermal; imaging; efficient; detection; vital

Early detection of symptoms of COVID-19 infection is of utmost importance. In this project, we are focusing on early detection using thermal imaging cameras that allow for non-contact, non-invasive monitoring of temperature, heart rate and breathing rate. We propose to develop two solutions: 1. to detect early symptoms by detecting increase in people's temperature when people are approaching areas of interest, and 2. to monitor vital signs of elderly people continuously at the places where they spend most of their time. These solutions will be based on advanced signal processing algorithms and machine learning models. At the end of the project, we will provide a stand-alone solution that will include a thermal camera, processing hardware, and our software and algorithms. This will represent a minimum viable product that will be taken by our industrial partner J&M Group and further developed into a commercial product. This project is important for Canada because it addresses early detection of COVID-19 of both people who are active and might not know that they have COVID-19 symptoms as well as elderly people who are at their homes or retirement homes and require constant monitoring of their vitals non-invasively.

早期发现COVID-19感染症状至关重要。在这个项目中，我们专注于使用热成像摄像机进行早期检测，它可以实现非接触式、非侵入式的温度、心率和呼吸频率监测。我们建议发展两种解决方案：1。当人们接近感兴趣的区域时，通过检测人们体温的升高来发现早期症状；在老年人生活最频繁的地方，持续监测老年人的生命体征。这些解决方案将基于先进的信号处理算法和机器学习模型。