Challenges in Developing and Deploying a PIR Sensor-Based Intrusion Classification System for an Outdoor Environment

Choubisa, Tarun; Upadrashta, Raviteja; Panchal, Sumankumar D.; Praneeth, A.; Ranjitha, H.V.; Senthoor, Kaushik; Bhattacharya, Abhijit; Anand, S.; Hegde, M. S.; Kumar, Anurag; Kumar, P. Vijay; Iyer, Madhuri Sheethala; Sampath, Abhirami; Prabhakar, T. V.; Kuri, Joy; Singh, Ashwath Narayan

doi:10.1109/lcn.2016.041

Cited by 7 publications

(1 citation statement)

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“…Interested readers are referred to [8]- [12] for details. The PIR sensors are also instrumented in several outdoor applications such as critical area surveillance [13] and intrusion classification [14]. More recently, a combination of PIR and seismic sensors has been used for target classification in [15].…”

Section: Introductionmentioning

confidence: 99%

Intruder Localization and Tracking Using Two Pyroelectric Infrared Sensors

et al. 2020

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In this paper, we introduce a method to estimate the range of an intruder and track its trajectory by utilizing the received signal strength of the heat flux for pyroelectric infrared (PIR) sensors. To this end, we first develop a mathematical model of the received heat flux signal strength and the corresponding PIR signal for a moving intruder. The algorithm uses only two PIR sensors and the geometry of the field of views (FOVs) to perform the estimation and tracking process without any knowledge of the intruder's parameters. The tracking algorithm shows remarkable performance in estimating the intruder's parameters. The intruder heat flux was accurately estimated even at large separation distances as was the intruder path angle. Finally, the intruder's location was also very accurately estimated with sub-meter error for large separation distances.

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