Acoustic Detection Modules for Indoor Navigation
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Solution Overview
Problem
Conventional detection devices are limited by their reliance on camera views, restricting their detection range and effectiveness in identifying and tracking moving objects indoors.
Innovation Solution
A detection device with two modules, each comprising a sound receiver, signal converting circuit, storage unit, and judging circuit, which uses sound spectrograms to identify and locate moving objects by comparing input signals with stored patterns, allowing for broader detection and communication with traffic lights or navigation systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If a camera is used to detect objects, then visual detection can be achieved, but the detection range is limited to the camera's viewing angle
Solution Approach 1:
The patent replaces the camera-based optical detection system with an acoustic detection system using microphones and sound receivers. This substitution allows the system to detect objects through sound waves rather than limited visual fields, effectively expanding the detection range beyond what a camera can capture while maintaining ease of operation through automated acoustic processing.
2Area of stationary object
If sound receivers are used to detect objects, then detection range is expanded beyond camera limits, but system complexity increases with multiple detection modules
Solution Approach 1:
The patent divides the detection system into multiple independent detection modules, each with its own sound receiver and signal processing circuitry. This segmentation allows the system to cover different spatial zones simultaneously, expanding the overall detection range while maintaining manageable complexity through modular design where each module can be independently configured and processed.
Solution Approach 2:
The patent combines multiple detection modules into a unified system that processes acoustic signals from different directions and positions. By merging the output signals and processing results from multiple modules, the system achieves comprehensive coverage and expanded detection range while sharing common processing resources and algorithms to manage system complexity.
3Measurement precision
If spectrogram comparison is used to identify objects, then object identification accuracy is improved, but processing time increases
Solution Approach 1:
The patent pre-processes and stores reference spectrogram patterns for different object types before actual detection occurs. By having pre-computed spectral signatures and comparison templates ready in advance, the system can quickly match detected sounds against these pre-prepared patterns during real-time operation, achieving high identification accuracy without the time penalty of computing spectrograms from scratch during detection.
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 broader detection ranges and improved object identification and tracking capabilities beyond camera limitations, facilitating safer traffic management and indoor navigation.
Implementation Method 1
The sound receiver is configured to continuously receive an external sound generated from a peripheral object in movement so as to obtain an input signal
Implementation Method 2
The signal converting circuit is configured to convert the input signal from the sound receiver into a target spectrogram
Implementation Method 3
The judging circuit is configured to compare any one of the two target spectrograms with the basic spectrograms so as to determine which kind of the objects the peripheral object is, and is configured to obtain an instant position of the peripheral object by the time/phase difference
Implementation Method 4
the speaker is configured to generate a soundwave to delete a noise that is received by the sound receiver and includes the external sound
Data Source
AI summary
A detection device and an indoor navigation system are provided. The detection device includes two detection modules each including a sound receiver for receiving sound from a peripheral object and a signal converting circuit that is electrically coupled to the sound receiver and that is configured to convert input signal from the sound receiver into a target spectrogram. The two spectrograms from the signal converting circuits have a time/phase difference, and at least one wireless earphone includes a storage unit and a judging circuit that is electrically coupled to the storage unit and the two signal converting circuits. The judging circuit is configured to compare any target spectrogram with basic spectrograms of the storage unit so as to determine which kind of objects the peripheral object is, and is configured to obtain an instant position of the peripheral object by the time/phase difference.