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Chandrasiri, A P and Geekiyanage, D (2018) Real-Time Object Detection System for Building Energy Conservation: An IP Camera Based System. In: Gorse, C and Neilson, C J (Eds.), Proceedings 34th Annual ARCOM Conference, 3-5 September 2018, Queen’s University, Belfast, UK. Association of Researchers in Construction Management, 567–576.
- Type: Conference Proceedings
- Keywords: building energy conservation, IP CCTV camera, object detection, real-time tracking
- ISBN/ISSN: 978-0-9955463-2-5
- URL: http://www.arcom.ac.uk/-docs/proceedings/83842cc5ae6b7629437acc5ef98596d9.pdf
In the contemporary world, there is a rapid introduction of automated and intelligent building systems. These technologies offer new and exciting opportunities to increase the connectivity of devices in built environments, particularly for energy conservation. Most of the developed building energy conservation systems are based on sensors and the application of those systems are limited to small spaces due to maintainability issues. The reliability of these sensor-based systems is still argued as sensors are not capable enough for multi-person tracking and real-time object detection. Giving emphasis to these limitations, the current study introduces an automated system for room light, ventilation and air condition controlling based on IP CCTV cameras. The system comprises of real-time object detection and device control. Initially, the numbers of devices (lighting appliances, fans and air conditioning units) and performance requirements of the building are feed to a database. IP CCTV cameras installed within the premises are used for the real-time human detection and device control signals are sent via a decentralised microcontroller system. Use of this embedded technology makes this visual detection and control system efficient and reliable. The system runs quickly enough to make the room feel responsive, and it tracks multiple people standing, sitting, walking, occluding in different areas, and entering and leaving the space. Use of this system makes the environment much comfortable for occupants while deducting excessive energy consumption and human effort taken to manage the comfort levels of the building. The system can be easily implemented to any place where IP CCTV cameras are in operation and this will be a steadfast system to track the real-time occupancy and energy consumption of buildings, which is a challenging task to Facility Managers.