Application of the Savitzky-Golay Filter to Smooth Data from the SAFE/UFRJ People Counting Module
DOI:
https://doi.org/10.5753/reic.2026.8440Keywords:
Internet of Things, Exploratory Data Analysis, Noise FilteringAbstract
This paper describes the evolution of the people-counting module of the SAFE/UFRJ IoT system. Upon identifying that crosstalk between the ultrasonic sensors reduced the precision of the original approach, a new solution based on data smoothing via the Savitzky-Golay filter and dynamic mean binarization was proposed. This update increased the system's accuracy in in vitro tests from 56.25% to 100% for the same set of working scenarios, consolidating the tool as a viable solution for decision-making support and runtime occupancy management.
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