Abstract:
Provided is a cough recognition method and device, which can detect cough sounds from an audio signal, and not only can detect coughs but also can track the location at which the cough sounds are generated by calculating the location of a sound source.
Abstract:
Disclosed is an AI acoustic camera including an acoustic source localizing means unit of generating position-specific acoustic level data by determining a position of an acoustic source, an AI acoustic analysis unit of recognizing a type of acoustic source estimated as an abnormal acoustic source by extracting a regeneration time domain acoustic signal for the acoustic source with the determined position and AI-learning and recognizing an acoustic feature image of the extracted time domain acoustic signal, an object recognition unit of recognizing a type of object positioned in the acoustic source through image analysis of an area recognized as that the acoustic source is positioned, and a determination unit of determining the acoustic source as a true acoustic source when the type of acoustic source and the type of object have commonality.
Abstract:
An acoustic camera including an explosion proof means, according to one embodiment of the present invention, comprises: acoustic sensors (M) for sensing sound waves; a sensor substrate (20) on which the acoustic sensors (M) are mounted; a photographing means (30); a housing (40) in which a main control unit (50) is embedded; and the main control unit (50) for receiving and processing an acoustic signal (a pulse density module (PDM) signal). An acoustic camera including a waterproof means, according to one embodiment of the present invention, comprises: a front body (10); acoustic sensors (M) for sensing sound waves or ultrasonic waves; a sensor substrate (20) on which the acoustic sensors (M) are mounted; a photographing means (30); a housing (40) covering the rear of the front body (10); and a waterproof means (90) for preventing water from reaching the acoustic sensors (M) or the sensor substrate (20).
Abstract:
Provided is a cough recognition method and device, which can detect cough sounds from an audio signal, and not only can detect coughs but also can track the location at which the cough sounds are generated by calculating the location of a sound source.
Abstract:
An apparatus for measuring noise includes: a signal generator configured to input an input signal having an excitation frequency to an audio device; and a controller configured to measure rattle noise from a sound pressure signal generated in response to the input signal. The controller measures the rattle noise by comparing a frequency component of the sound pressure signal with a masking curve corresponding to the excitation frequency.
Abstract:
A portable sound source searching sensor comprising: a front body (10) in which acoustic sensors of MEMS microphones (20) are arranged to face forward; MEMS microphones (20) of which acoustic sensors are exposed to the front body (10) in a fixed state to the substrate (30); a substrate (30) on which the microphones (20) are mounted; an image photographing unit (40) of which a photographing lens (41) is exposed through a lens hole of the front body (10); and a rear body (50) for surrounding a rear side of the substrate (30) and a rear side of the image photographing unit in a state that the substrate (30) is positioned at a rear side of the front body (10).
Abstract:
An apparatus for measuring noise includes: a signal generator configured to input an input signal having an excitation frequency to an audio device; and a controller configured to measure rattle noise from a sound pressure signal generated in response to the input signal. The controller measures the rattle noise by comparing a frequency component of the sound pressure signal with a masking curve corresponding to the excitation frequency.