Tread Sensor People Flow Estimation Using Waveform Segmentation
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Solution Overview
Problem
Tread-type sensors face challenges in accurately measuring the number of people passing over them, especially when multiple individuals form lines and pass simultaneously, due to the difficulty in setting unique load change thresholds.
Innovation Solution
An estimation device and method that collect and analyze time-series sensor data from tread-type sensors to estimate the number of people passing, using data preprocessing and machine learning techniques to improve accuracy, even in complex scenarios.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If threshold determination is used to measure people flow with tread-type sensor, then the measurement method maintains privacy and requires no special devices, but the accuracy of counting multiple people passing simultaneously deteriorates
Solution Approach 1:
The patent divides the people flow measurement task into multiple time segments by analyzing voltage waveform data at different time points. Instead of treating simultaneous passengers as a single threshold event, the system segments the measurement into individual time slots, identifying each passenger's load contribution separately through temporal analysis of the voltage waveform characteristics.
Solution Approach 2:
The patent transitions from static threshold determination to dynamic analysis by examining how voltage waveforms change over time. The system analyzes the temporal dynamics of load variations, tracking how the voltage signal evolves during the passage of multiple people, allowing differentiation between simultaneous passengers based on their distinct temporal load patterns.
2Speed
If a single threshold is set for load change detection, then the sensor response is simple and fast, but the ability to distinguish multiple people passing at the same time deteriorates
Solution Approach 1:
The patent applies periodic sampling of voltage waveform data at multiple fixed time points during the passenger passage period. This periodic measurement approach captures the temporal evolution of load changes, enabling the system to distinguish multiple simultaneous passengers by analyzing the pattern of voltage variations at each sampling interval while maintaining fast detection response.
Solution Approach 2:
The patent performs preliminary analysis of voltage waveform characteristics before final passenger count determination. By examining the temporal pattern of load changes and identifying distinct voltage waveform signatures in advance, the system prepares the data structure needed for accurate multi-person detection, enabling both rapid response and high precision in the final counting result.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enhances the accuracy of people flow estimation using tread-type sensors by employing data preprocessing and machine learning, effectively handling multiple individuals passing simultaneously.
Implementation Method 1
there is a people flow measurement method by a tread-type sensor that detects a variation in a load applied on a sensor or a physical parameter caused by the load as a voltage waveform
Data Source
AI summary
An estimation device collects sensor data representing a change in a load along a time series as a change in a voltage value from a sensor that generates a voltage when a load applied to an area changes, and estimates a matter related to a measurement target passing through a predetermined area by using sensor data collected from the sensor installed in the predetermined area.