Enterprise Scale Privacy Aware Occupancy Sensing

Surya Sajja, Ashok Pon Kumar, Rohun Tripathi, Satyam Dwivedi, Amith Singhee, M. Vermeulen
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引用次数: 2

Abstract

Location based services inside smart buildings are dependent on scalable localization methods. However, for enterprises, privacy of individual employees is a major concern. In this paper, we present a privacy aware occupancy sensing mechanism for large scale enterprises with multiple floors in multiple buildings of multiple cities. This is achieved through Wi-Fi fingerprint based localization methods implemented on edge devices. We present some preliminary results on occupancy sensing from our pilot study inside the office spaces of IBM India.
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企业规模的隐私感知占用传感
智能建筑内部基于位置的服务依赖于可扩展的定位方法。然而,对于企业来说,员工个人的隐私是一个主要问题。本文针对多个城市、多个建筑、多个楼层的大型企业,提出了一种具有隐私意识的占用感知机制。这是通过在边缘设备上实现的基于Wi-Fi指纹的定位方法实现的。我们在IBM印度的办公空间内进行了试点研究,提出了一些关于占用感的初步结果。
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Publisher's Information Edge Powered Industrial Control: Concept for Combining Cloud and Automation Technologies Enterprise Scale Privacy Aware Occupancy Sensing Message from the IEEE EDGE 2018 Chairs Real-Time Traffic Pattern Collection and Analysis Model for Intelligent Traffic Intersection
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