Review of vision-based occupant information sensing systems for occupant-centric control
Abstract Vision-based (camera-based) systems, which can effectively sense occupant
information, have garnered attention as a core technology in the Fourth Industrial …
information, have garnered attention as a core technology in the Fourth Industrial …
A novel occupant-centric stratum ventilation system using computer vision: Occupant detection, thermal comfort, air quality, and energy savings
Traditional ventilation and air conditioning systems typically operate on a predetermined
schedule with fixed operating parameters. Occupant-centric control (OCC) strategies have …
schedule with fixed operating parameters. Occupant-centric control (OCC) strategies have …
Application of vision-based occupancy counting method using deep learning and performance analysis
Recently, several researchers have attempted to detect occupancy information and use it to
reduce building energy. Although occupancy counting using a camera and deep learning is …
reduce building energy. Although occupancy counting using a camera and deep learning is …
Deep vision-based occupancy counting: Experimental performance evaluation and implementation of ventilation control
Recently, many researchers have become interested in occupant information and occupant-
centric control (OCC) strategies, aiming for efficient building operation. Combining a camera …
centric control (OCC) strategies, aiming for efficient building operation. Combining a camera …
MPSN: Motion-aware Pseudo-Siamese Network for indoor video head detection in buildings
Indoor video head detection is an essential component of building occupancy detection.
While deep learning models have achieved remarkable progress in general object …
While deep learning models have achieved remarkable progress in general object …
Real-time ventilation control based on a Bayesian estimation of occupancy
H Rahman, H Han - Building Simulation, 2021 - Springer
Demand-controlled ventilation (DCV) is commonly implemented to provide variable amounts
of outdoor air according to an internal ventilation demand. The objective of the present study …
of outdoor air according to an internal ventilation demand. The objective of the present study …
A real-time intelligent monitoring method for indoor evacuee distribution based on deep learning and spatial division
L Han, H Feng, G Liu, A Zhang, T Han - Journal of Building Engineering, 2024 - Elsevier
Providing real-time and detailed indoor evacuee distribution information is of great
significance for the on-site formulating and dynamic adjustment of indoor emergency …
significance for the on-site formulating and dynamic adjustment of indoor emergency …
Enabling smart building applications on the edge using artificial intelligence
R Singh, N Pai, S Mahapatra - 2022 IEEE Women in …, 2022 - ieeexplore.ieee.org
Smart Building systems solutions have enabled building managers to track efficient use of
space, maximize downtime while ensuring a comfortable and productive environment for its …
space, maximize downtime while ensuring a comfortable and productive environment for its …
Real-time Occupancy Detection: Modified Background Subtraction with Otsu's Dynamic Thresholding Paradigm
R Yadav, M Kumari - 2024 International Conference on …, 2024 - ieeexplore.ieee.org
This paper introduces a modified background subtraction algorithm for real-time occupancy
detection in both static and dynamic scenarios. The system, validated through rigorous …
detection in both static and dynamic scenarios. The system, validated through rigorous …
[PDF][PDF] Vision-based lighting state detection and curtain openness ratio prediction
In non-residential buildings, space lighting accounts for 17% of the total energy
consumption. Effective use of daylighting has great potential to reduce lighting energy use in …
consumption. Effective use of daylighting has great potential to reduce lighting energy use in …