Near Real-Time Access Monitoring Based on IoT Dynamic Measurements of Indoor Air Pollutant

Scislo, Lukasz; Szczepanik-Scislo, Nina

doi:10.1109/idaacs58523.2023.10348868

Cited by 6 publications

(3 citation statements)

References 17 publications

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“…The utilization of such technology in UAVs could transform surveillance capabilities, allowing for the dynamic measurement of contaminants and providing real-time access control. This novel application of IoT, in line with the Industry 4.0 concept, allows for extensive data analysis over longer periods, enabling predictions of occupant behavior or the need for ventilation in specific rooms or areas, thus enhancing the capabilities of UAVs in complex surveillance scenarios [4].…”

Section: Introductionmentioning

confidence: 99%

YOLO-IHD: Improved Real-Time Human Detection System for Indoor Drones

Kucukayan,

Karacan

2024

Sensors

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In the field of unmanned systems, the combination of artificial intelligence with self-operating functionalities is becoming increasingly important. This study introduces a new method for autonomously detecting humans in indoor environments using unmanned aerial vehicles, utilizing the advanced techniques of a deep learning framework commonly known as “You Only Look Once” (YOLO). The key contribution of this research is the development of a new model (YOLO-IHD), specifically designed for human detection in indoor using drones. This model is created using a unique dataset gathered from aerial vehicle footage in various indoor environments. It significantly improves the accuracy of detecting people in these complex environments. The model achieves a notable advancement in autonomous monitoring and search-and-rescue operations, highlighting its importance for tasks that require precise human detection. The improved performance of the new model is due to its optimized convolutional layers and an attention mechanism that process complex visual data from indoor environments. This results in more dependable operation in critical situations like disaster response and indoor rescue missions. Moreover, when combined with an accelerating processing library, the model shows enhanced real-time detection capabilities and operates effectively in a real-world environment with a custom designed indoor drone. This research lays the groundwork for future enhancements designed to significantly increase the model’s accuracy and the reliability of indoor human detection in real-time drone applications.

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Section: Introductionmentioning

confidence: 99%

YOLO-IHD: Improved Real-Time Human Detection System for Indoor Drones

Kucukayan,

Karacan

2024

Sensors

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“…Additionally, IAQ measurements have been used as indicators for occupancy calculations or security access. These issues have gained significance in the context of the pandemic and the growing research on using IoT sensor grids for occupancy behavior and IAQ monitoring [21,22]. This insight into the importance of occupant behavior sets the stage for examining specific elements of building design that can either mitigate or exacerbate these challenges [23,24].…”

Section: Introductionmentioning

confidence: 99%

Linking Occupant Behavior and Window Design through Post-Occupancy Evaluation: Enhancing Natural Ventilation and Indoor Air Quality

Pourtangestani,

Izadyar,

Jamei

et al. 2024

Buildings

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This study investigates how window design features, such as size, placement, and orientation, might impact occupants’ behavior related to natural ventilation in residential houses and how residents manage natural ventilation to affect indoor air quality (IAQ), comfort, and energy efficiency. By analyzing responses from a questionnaire distributed among 200 occupants, this article reveals that stuffy air, perceived outdoor pollutants, odors, and relative humidity, along with factors like inadequate ventilation, temperature fluctuations, and energy consumption concerns, emerge as primary issues affecting occupants’ comfort and well-being. This study proposes design recommendations for enhancing IAQ, including optimal window placement for cross-ventilation, window-to-wall ratio (WWR) considerations, and the integration of smart window technologies. This research recognizes that window design is not just a technical matter but involves understanding social and behavioral factors as well. By analyzing occupant responses, it aims to provide insights into the socio-technical parameters that should be considered in window design. The findings offer valuable strategies for architects, designers, and homeowners to optimize natural ventilation and underscore the importance of an occupant-centered approach in sustainable building design.

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“…The IoT has become an essential component in nearly every construction project, playing a crucial role in building operations [10]. These systems are designed to enhance the health and well-being of the occupants while ensuring the efficient functioning of the building, including features like failure detection, energy monitoring, occupancy tracking, and access monitoring [11]. Shareef and Rauf [12] introduced the adaptive and sustainable IoT integration model (ASIIM), a novel framework that leverages the IoT to enhance building performance, occupant comfort, and energy efficiency.…”

Section: Introductionmentioning

confidence: 99%

Advancing Building Assessment Tools: Achieving Sustainable Development Goals through the Fusion of Internet of Things Occupant-Centric Principles and Sustainable Practices

Metwally,

Ismail,

Farid

2024

Buildings

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The impact of global climate change on the built environment emphasizes the need for sustainable development goals (SDGs) using technological solutions, such as the Internet of Things (IoT). The significance of innovative building assessment (BA) tools plays a pivotal role in bridging the existing gap between the theoretical and actual operational performance of buildings. The main research question is how can a new generation of BA tools leverage the IoT to optimize occupant well-being and achieve SDGs’ targets. This article delves into the pivotal role played by the IoT and occupant-centric concepts in advancing sustainability initiatives and facilitating the achievement of SDGs. The novelty of this paper lies in its exploration of the current state of IoT integration as a strategic imperative for SDGs’ achievement and climate change mitigation. Consequently, a paradigm shift is evident in this work, showcasing a comprehensive comparison between conventional and IoT occupant-centric BA tools and introducing a correlation study between IoT occupant-centric systems and future SDGs’ targets. Lastly, current gaps and valuable insights into future research possibilities are offered.

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Near Real-Time Access Monitoring Based on IoT Dynamic Measurements of Indoor Air Pollutant

Cited by 6 publications

References 17 publications

YOLO-IHD: Improved Real-Time Human Detection System for Indoor Drones

YOLO-IHD: Improved Real-Time Human Detection System for Indoor Drones

Linking Occupant Behavior and Window Design through Post-Occupancy Evaluation: Enhancing Natural Ventilation and Indoor Air Quality

Advancing Building Assessment Tools: Achieving Sustainable Development Goals through the Fusion of Internet of Things Occupant-Centric Principles and Sustainable Practices

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