Computer Vision Technology for Monitoring of Indoor and Outdoor Environments and HVAC Equipment: A Review

Abstract

Artificial intelligence technologies such as computer vision (CV), machine learning, Internet of Things (IoT), and robotics have advanced rapidly in recent years. The new technologies provide non-contact measurements in three areas: indoor environmental monitoring, outdoor environ-mental monitoring, and equipment monitoring. This paper summarizes the specific applications of non-contact measurement based on infrared images and visible images in the areas of personnel skin temperature, position posture, the urban physical environment, building construction safety, and equipment operation status. At the same time, the challenges and opportunities associated with the application of CV technology are anticipated.

Remote intelligent perception system for multi-object detection

“…We employed two distinct edge-detection algorithms to capture the inherent structure and edges within the images. The Sobel operator works by convolving the image with two separate kernels which are approximate to the derivatives ( Yang B. et al, 2023 ; Yang D. et al, 2023 ), one for the horizontal changes and other for the vertical. are two images which at each point contain the vertical and horizontal derivative approximations, the combined gradient can be computed as follows:…”

“…Subsequently, these features are utilized to construct higher level representations, enabling the system to recognize objects, spatial relationships, and contextual elements within the scenes. These systems have achieved the versatility of scene recognition, highlighting its significance across diverse fields such as smart home technologies ( Zhou et al, 2020 ; Qi et al, 2022 ), surveillance systems ( Sae-Ung et al, 2022 ), autonomous driving ( Arnold et al, 2019 ), healthcare systems ( Ulhaq et al, 2020 ; Angelica et al, 2021 ; Mehmood et al, 2022 ), and environmental monitoring ( Yang B. et al, 2023 ; Yang D. et al, 2023 ).…”

Development of an Artificial Vision for a Parallel Manipulator Using Machine-to-Machine Technologies

“…In creating joint identification and tracking modules in their work, researchers [ 31 ] applied the hyper frame vision (HFV) architecture consisting of a 3D sensor. However, the continuous process of capturing a sequence of stereo images using the camera is buffered into a large frame memory, which is energy consuming for a robotic system, which in turn requires processing the acquired large data in real-time.…”

Self-powered semitransparent WS2/LaVO3 vertical-heterostructure photodetectors by employing interfacial hexagonal boron nitride

“…Broadband photodetector (PD) applications such as imaging sensors, remote temperature monitoring, and environmental detection are critical components of optoelectronic systems [1][2][3][4][5]. Thanks to the advent of two-dimensional (2D) materials with unique properties including graphene (Gr) and transition metal dichalcogenides (TMDC), versatile optoelectronic devices offering promising potential have quickly established themselves as exciting building blocks [6][7][8][9][10][11].…”