Abstract
In this paper, a method for occupancy analysis for flow control through an automated door is presented. In particular, the use case of an elevator is analysed. The occupancy inside the elevator cabin is detected while information on the number of users expecting to enter the elevator is also extracted. To achieve this, two privacy preserving cameras, i.e. a depth sensor and a thermal camera, are installed inside and outside the elevator, respectively. Moreover, information from the elevator’s controller, such as the state of the door (closed/open) and the floor number where the elevator cabin has stopped, is acquired. The results from both cameras and the elevator controller are sent and fused in real time in a web socket server installed in a microcomputer. Experimental results prove that the data fusion provides a leverage to the system leading to robust occupancy analysis. Moreover, the paper discusses the extraction of human features, such as height, weight and top view area, through a presented calibration procedure, highlighting in this way the potential of the proposed system to extract further information that will add extra value to the decision control system.
This work is partially supported by the EU funded SMILE project (H2020-740931).
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Triantafyllou, D. et al. (2021). Occupancy Flow Control - Case Study: Elevator Cabin. In: Yildirim Yayilgan, S., Bajwa, I.S., Sanfilippo, F. (eds) Intelligent Technologies and Applications. INTAP 2020. Communications in Computer and Information Science, vol 1382. Springer, Cham. https://doi.org/10.1007/978-3-030-71711-7_3
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