Detection of COVID-19 in Intelligent Building Occupancy Management

建筑物使用者信息的测量对于能源效率、舒适度、健康、生产力和安全管理非常重要。鉴于当前的全球大流行，Distech Controls Inc.寻求自动检测有COVID-19症状或彼此靠近的建筑物居住者，从而限制COVID-19病毒的传播。该项目的主要目标是开发紧凑的隐私保护深度学习（DL）模型，用于构建占用测量系统，该系统可以检测高烧患者和与其他人接近的人，从而限制COVID-19的传播。这些模型将依赖于低分辨率多模态（RGB和热红外）摄像机，这些摄像机位于建筑物的墙壁、入口或天花板上，以估计房间内人员的物理距离、密度和温度。扩展其建筑占用测量系统，Distech寻求开发具有成本效益的DL模型，用于跨模式人员检测，计数和重新识别。该项目涉及ETS和Distech的跨学科团队，将加强思想和资源的交流，并建立长期的合作联系。该项目将专注于低水平视觉识别应用的深度学习模型设计，并将重点放在最先进的研究上。通过专注于通过低分辨率RGB-IR传感器的多模态融合为COVID检测开发具有成本效益的深度学习（DL）模型，我们预计该项目将引领创新的人工智能技术。本研究项目的重要发现将在高水平的科学期刊和会议上传播，并纳入Distech建筑管理解决方案。该项目还提供了培训高素质人员的机会，使他们能够面对战略利益领域当前和未来的挑战。

Measurement of building occupant information is important for energy efficiency, comfort, health, productivity, and security management. Given the current global pandemic, Distech Controls Inc. seeks to automatically detect building occupants with symptoms of COVID-19, or in close proximity to one another, and thereby limit propagation of the COVID-19 virus. The main objective of this project is to develop compact privacy-preserving deep learning (DL) models for building occupancy measurement systems that allow detecting people with high fevers, and in close proximity to others, and thereby limit the propagation of COVID-19. These models will rely on low-resolution multimodal (RGB and thermal IR) cameras that are co-located on a wall, portal, or ceiling of a building to estimate the physical distance, density, and temperature of people in a room. Expanding on its building occupancy measurement systems, Distech seeks to develop cost-effective DL models for cross-modal person detection, counting, and re-identification. This project involves a cross-disciplinary team from ETS and Distech, and will allow to intensify the exchange of ideas and resources, and establish long-term collaborative links. Focusing on the design of DL models for visual recognition applications from low, this project will focus on state-of-the-art research. By focusing on the development of cost-effective deep learning (DL) models for COVID detection through the multi-modal fusion of lower-resolution RGB-IR sensors, we anticipate that this project will lead to innovative AI technologies. Significant findings of this research project will be disseminated in high caliber scientific journals and conferences, and integrated into Distech building management solutions. This project also offers the opportunity for the training of highly qualified personnel to face current and future challenges in areas of strategic interest.