Acoustic Seat Occupancy Detection Using Reflected Sound Signatures
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Solution Overview
Problem
Existing technologies for detecting occupied seats require sensors in each seat, can only detect a single seat, and often rely on memory-intensive image processing using cameras.
Innovation Solution
An occupied seat detection system using a single set of sensors that transmits predetermined sounds and calculates temporal or frequency characteristics of the sound reflections to determine the presence or absence of occupants across multiple seats without embedding sensors in each seat or performing image processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If sensors are embedded in each seat to detect occupancy, then detection reliability is improved, but device complexity and manufacturing cost increase
Solution Approach 1:
The patent segments the detection space into multiple zones corresponding to different seats, allowing a single sensor system to detect occupancy in multiple seats by analyzing sound reflections from different spatial regions. This eliminates the need for embedding sensors in each seat while maintaining multi-seat detection capability.
Solution Approach 2:
The patent introduces sound waves as an intermediary medium to detect seat occupancy. Instead of directly sensing physical presence with embedded sensors, the system uses sound reflections as a mediator to indirectly detect occupancy status, thereby avoiding the need for complex embedded sensor systems.
2Device complexity
If a single set of sensors is used to detect multiple seats, then device complexity is reduced, but measurement precision deteriorates
Solution Approach 1:
The patent transitions from spatial segmentation (multiple sensors per seat) to temporal-frequency dimension analysis. By analyzing sound reflections in the frequency domain and temporal domain, the system can distinguish between different seat occupancies using a single sensor, thereby maintaining measurement precision while reducing device complexity.
Solution Approach 2:
The patent changes the detection parameters from physical position (spatial coordinates) to acoustic characteristics (frequency and temporal properties of sound reflections). This parameter transformation allows a single sensor to differentiate between multiple seat occupancies by analyzing the unique acoustic signatures reflected from each seat region.
3Adaptability or versatility
If image processing using a camera is performed to detect occupancy, then detection versatility is improved, but memory load and processing time increase
Solution Approach 1:
The patent replaces the optical-mechanical camera system with an acoustic sensing system. Instead of capturing and processing visual images that require significant memory and computational resources, the system uses acoustic sensors to detect occupancy through sound reflections, thereby reducing memory load and processing requirements while maintaining detection versatility.
Solution Approach 2:
The patent uses inexpensive acoustic sensors instead of expensive camera systems. Acoustic sensors are cheaper, consume less memory, and require less processing power while still providing effective occupancy detection across multiple seats.
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
Enables efficient detection of occupied seats across multiple seats without embedded sensors and reduces the need for image processing, improving accuracy and reducing computational and memory loads.
Implementation Method 1
transmitting one after another predetermined sounds to inside a space
Implementation Method 2
receiving one after another reflected waves of the predetermined sounds transmitted by the transmitter
Data Source
AI summary
An occupied seat detection device includes: at least one receiver that is disposed in a space including a plurality of seats and receives at least one of sound generated inside the space or sound generated outside the space; an acoustic characteristics analyzer that calculates, from a signal received by the at least one receiver, temporal characteristics or frequency characteristics of the sound in the space; and a detector that detects whether an occupant is present or whether an occupied seat is present inside the space, based on the temporal characteristics or the frequency characteristics calculated by the acoustic characteristics analyzer, and outputs a detection result.


