Event-Driven Smart Lighting and Surveillance System: A KSA Perspective
Abstract
This work deals with design and development of smart lightning and surveillance for the outdoor Saudi companies. It focuses on finding out an efficient solution for improving the energy consumption and performance of the outdoor lightning and surveillance. The idea is to embed the event-driven feature in the devised system. It avoids the unnecessary lightning and surveillance activities in the non-working hours and locations. Therefore, results into an improved energy consumption and operation cost efficiency. In the absence of an activity, the suggested system lightning and surveillance modules will be deactivated after a programmed short time interval. It will improve the system performance in terms of power consumption and resources utilization as compared to the counter traditional ones. It will reduce the overall electricity consumption and therefore the cost efficiency of the company. A system prototype is realized. It is based on smart event-driven nodes. Each node is an effective combination of an assembly of sensors, actuators, cameras, solid-state lighting and an embedded controller. Different nodes are interlinked via a Central Processing Unit (CPU). The proposed system functionality is tested with an experimental setup. Results have confirmed a proper system operation.
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Computer vision in smart lighting can take advantage of CCTV cameras that are usually already installed in an area.
“The advantage of using computer vision in smart lighting is that advanced control of smart lighting can take advantage of CCTV cameras which are usually already installed in an area [308].”
From Machine Learning Methods in Smart Lighting Toward Achieving User Comfort: A Survey (2022) · cites this paper as [308]
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Machine Learning Methods in Smart Lighting Toward Achieving User Comfort: A Survey
Putrada, A. G., Abdurohman, M., Perdana, D., & Nuha, H. H. (2022) · IEEE Access · doi:10.1109/access.2022.3169765 · Cited by 101 · see citing works
“The advantage of using computer vision in smart lighting is that advanced control of smart lighting can take advantage of CCTV cameras which are usually already installed in an area [308].”
Background
- Authors
- Al-Subaie, S., Jambi, L., Reda, R. A., & Qaisar, S. M.
- Affiliations
- Effat University (SA)
- ORCID
- Qaisar, S. M.
- Venue
- 2018 21st Saudi Computer Society National Computer Conference (NCC)
- Publisher
- IEEE
- Published
- 2018-04
- Volume
- 4
- Pages
- 1-5
- OpenAlex
- W2906970086
- Cited by
- 3
- References
- 0
- Citations by year
- 2023: 1 · 2022: 1 · 2020: 1
- FWCI
- 0.40
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- Saudi Computer Society National Computer Conference (NCC) (publishedVersion)
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › IoT-based Smart Home Systems
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Arduino and IoT Applications
- Physical Sciences › Engineering › Control and Systems Engineering › Wireless Sensor Networks and IoT
- Keywords
- smart lighting, surveillance systems, event-driven systems, energy consumption reduction, outdoor lighting, embedded controller, sensor networks, solid-state lighting, cost efficiency, Saudi companies
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