Real-time smart lighting control using human motion tracking from depth camera

Chun, Sung Yong; Lee, Chan-Su; Jang, Ja-Soon

doi:10.1007/s11554-014-0414-1

Cited by 21 publications

(9 citation statements)

References 49 publications

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“…To reduce energy consumption and light pollution, artificial light is only (fully) switched on if motion or occupancy is detected by the sensor systems. If the workplace is empty, lighting is switched off or dimmed to a predefined lower level (Chung and Burnett 2001;Chun, Lee, and Jang 2015). Daylight sensors are used in places where natural daylight can provide sufficient or partial brightness.…”

Section: Sensor-based Lightingmentioning

confidence: 99%

Smart lighting systems: state-of-the-art and potential applications in warehouse order picking

Füchtenhans

Grosse

Glock

2021

International Journal of Production Research

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Artificial lighting is a constant companion in everyday private and working life, influencing visibility in interior spaces as well as outdoors. In recent years, new technical solutions have extended traditional lighting systems to become 'smart'. Different types of smart lighting systems are available on the market today, and researchers have concentrated on analysing their usability and efficiency, especially for private households, office buildings and public streets. This paper presents a systematic literature review to analyse the state-of-knowledge of technologies and applications for smart lighting systems. The results of the review show that smart lighting systems have been frequently discussed in the literature, but that their potentials in industrial environments, such as production and logistics, has rarely been addressed in the literature so far. Lighting systems for industrial environments often have very different requirements depending on the working environment and operating conditions. Based on the results of the literature review, this paper contributes to closing this research gap by discussing the usage potential of smart lighting systems to improve the efficiency of warehouse order picking, which is an application that may benefit from various functions smart lighting systems provide. Several propositions are developed that emphasise research opportunities and managerial implications in this context.

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Section: Sensor-based Lightingmentioning

confidence: 99%

Smart lighting systems: state-of-the-art and potential applications in warehouse order picking

Füchtenhans

Grosse

Glock

2021

International Journal of Production Research

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“…Computer vision simulates the human visual system by analyzing the rich information provided by digital images or video to achieve a high level of understanding of objects and events presented in a scene ( Guo et al, 2021 ). Using traditional surveillance cameras, computer vision technology can obtain information about occupants at a low cost, such as occupant number ( Wang et al, 2019 ), density ( Sun et al, 2022 ; Wang et al, 2018 ), location ( Huang & Hao, 2020 ), and posture ( Chun et al, 2015 ). This paper combines computer vision techniques and artificial neural network to predict metabolic rates which are used as the input signal for ventilation control to reduce the risk of infection.…”

Section: Introductionmentioning

confidence: 99%

Metabolism-based ventilation monitoring and control method for COVID-19 risk mitigation in gymnasiums and alike places

Wang

Huang

et al. 2022

Sustainable Cities and Society

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Gymnasiums, fitness rooms and alike places offer exercise services to citizens, which play positive roles in promoting health and enhancing human immunity. Due to the high metabolic rates during exercises, supplying sufficient ventilation in these places is essential and extremely important especially given the risk of infectious respiratory diseases like COVID-19. Traditional ventilation control methods rely on a single CO 2 sensor (often placed at return air duct), which is often difficult to reflect the human metabolic rates accurately, and thus can hardly control the infection risk instantly. Thus, to ensure a safe and healthy environment in places with high metabolism, a real-time metabolism-based ventilation control method is proposed. A computer vision algorithm is developed to monitor human activities (regarding human motion amplitude and speed) and an artificial neural network is established for metabolic prediction. Case studies show that the proposed metabolism-based ventilation control method can reduce the infection probability down to 4.3-6.3% while saving 13% of energy in comparison with the strategy of fixed-fresh-air ventilation. In the development of healthy and sustainable society, gymnasiums and alike exercise places are essential and the proposed ventilation control method is a promising solution to decrease the risk of COVID-19 while preserving features of energy saving and carbon emission reduction.

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“…The technology of solid-state lighting (SSL) has improved the energy efficiency and life span of luminaires with enhanced luminous efficacy, and restrictions and norms on inefficient light sources have further promoted the diffusion of these luminaires with energy-efficient electronics [13]. In addition, the recent progress in research and development of smart lighting systems based on an human centric approach [14] as well as Internet of Things (IOT) has further confirmed their energy-saving potential in lighting [15,16]. Nonetheless, it has been revealed in studies that the daylight, as an ubiquitous cost-economical light source, cannot be fully substituted by the current technology of artificial light, not only due to its unique spectral power distribution [17] but also because of its non-visual effects on occupants' physiology, behaviour and circadian rhythms [18][19][20], which indirectly influence human's health [21,22] and performance [23].…”

Section: Introductionmentioning

confidence: 99%

Design and validation of a compact embedded photometric device for real-time daylighting computing in office buildings

Kämpf

Scartezzini

2019

Building and Environment

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Studies have shown that the exposure to daylight can have substantial visual/non-visual benefits for building occupants. To optimise daylighting provision while maintaining a comfortable visual environment, daylighting control systems have been investigated by architectural design and academic research for a number of years. However, real-time regulation of daylighting in buildings requires transient daylighting simulation with high accuracy and, daylighting simulation, as performed to date, is significantly impacted by the employed sky luminance distribution models which only crudely reproduce the real sky characteristics due to oversimplification and limited luminance sampling inputs. In this paper, an embedded photometric device is proposed to combine high dynamic range (HDR) imaging based highresolution sky luminance monitoring with quasi real-time on-board daylighting computing, composed of a low-cost image sensor and a field programmable gate array (FPGA) microprocessor. A deliberate calibration procedure of the whole imaging system, regarding its spectral response (spectral correction error f'1 = 8.89%), vignetting effect and signal response, was formulated and validated experimentally. The device was made to measure a wide luminance range (150 dB) including that of the direct solar disk, sky vault, and landscape simultaneously. Finally, experiments during predominant clear and overcast sky conditions were conducted respectively to assess its performance in daylighting simulation, both qualitatively and quantitatively. The experimental results demonstrated its quality in solar tracking as well as its capability to reduce daylighting simulation error to 1 7 ∼ 1 3 of that of a common practice using the conventional Perez all-weather sky model for workplane illuminance calculation in office buildings.

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Real-time smart lighting control using human motion tracking from depth camera

Cited by 21 publications

References 49 publications

Smart lighting systems: state-of-the-art and potential applications in warehouse order picking

Smart lighting systems: state-of-the-art and potential applications in warehouse order picking

Metabolism-based ventilation monitoring and control method for COVID-19 risk mitigation in gymnasiums and alike places

Design and validation of a compact embedded photometric device for real-time daylighting computing in office buildings

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