Locating Method Using Microphone Array and Infrared Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for locating human presence using infrared pyroelectric signals and sound signals suffer from low accuracy and inability to handle physical obstacles and audio interference, leading to inefficient detection and long processing times.
Innovation Solution
A method utilizing time division polling of both sound and infrared signals, employing a microphone array and infrared sensing array to determine the direction and distance of a target, allowing for wider detection angles and increased accuracy by integrating sound and infrared data using a time division scanning weighting algorithm.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If only infrared pyroelectric signal analysis is used for locating, then the system structure is simple, but the detection accuracy is low and cannot handle physical obstacles
Solution Approach 1:
The patent combines infrared pyroelectric signal collection with sound signal collection into a unified locating system. The microphone array and infrared sensors work together to detect targets, where sound signals provide directional information and infrared signals provide distance and thermal signature data, achieving mutual supplementation and improved locating accuracy while overcoming the limitations of either system alone
Solution Approach 2:
The locating system is designed to handle multiple detection scenarios using the same hardware platform. The microphone array and infrared sensors can detect both speaking and non-speaking targets, penetrate obstacles that block single modality sensors, and adapt to various environmental conditions, making the system universally applicable across diverse locating scenarios
2Measurement precision
If sound signal analysis is limited to human voice frequency band (300-3400 Hz), then the detection focus is narrow, but the anti-interference capability is low and cannot detect non-speaking targets
Solution Approach 1:
The patent implements dynamic frequency band adjustment in the sound signal processing system. Instead of being fixed to the human voice band, the system can dynamically expand its detection frequency range to capture different types of sounds including non-speaking target sounds, animal sounds, and environmental sounds, adapting to various detection scenarios as needed
Solution Approach 2:
The system changes the parameter of frequency band coverage from a fixed narrow band (300-3400 Hz) to a variable wide band that can be adjusted based on detection needs. This parameter change enables the system to detect targets that are not speaking by capturing their unique sound signatures across broader frequency ranges
3Adaptability or versatility
If wideband sound signal detection is implemented, then the detection coverage is expanded, but the processing time and computational complexity increase
Solution Approach 1:
The patent segments the wideband sound signal processing into multiple frequency sub-bands that can be processed independently and in parallel. This segmentation allows the system to maintain wide detection coverage while reducing the computational burden on each processing channel, thereby decreasing overall processing time through parallel computation
Solution Approach 2:
The system implements partial processing of the wideband signal by focusing computational resources on frequency ranges and time windows that are most likely to contain target signals. Rather than processing the entire wideband spectrum uniformly, the system applies selective processing to relevant portions, reducing overall processing time while maintaining detection effectiveness
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
This approach enhances detection probability and accuracy, enabling the location of targets that may not be speaking and improves versatility in various environments by combining multi-directional sound and infrared signal analysis.
Implementation Method 1
determines a sound source direction corresponding to detected sound signal according to a sound phase difference obtained by each microphone in the microphone array
Implementation Method 2
an infrared transceiver configured to emit an infrared signal and receive a reflected infrared signal
Implementation Method 3
determines a distance between the monitoring target and the infrared transceiver in the sound source direction according to an infrared detection result
Implementation Method 4
an analysis of an infrared pyroelectric signal and/or a sound signal
Data Source
AI summary
A device monitors, by using a microphone array, a sound generated by a monitoring target. In response to detecting a sound signal by the microphone array, the device determines a sound source direction corresponding to detected sound signal according to a sound phase difference obtained by each microphone in the microphone array. The device performs infrared detection in the sound source direction by using the infrared transceiver. The device determines a distance between the monitoring target and the infrared transceiver in the sound source direction according to an infrared detection result obtained by the infrared transceiver. The device generates location information of the monitoring target according to the sound source direction and the distance.