The present disclosure relates to a user identification method applicable to a vehicle, the vehicle including at least two microphone arrays, the respective microphone arrays being disposed at different positions of the vehicle, respectively. The user identification method includes: receiving a voice of a user within the vehicle through the at least two microphone arrays; determining directions from the user to the microphone arrays, respectively, according to the voice; calculating an angle between any two of the directions; and identifying a type of the user based at least on the angle.

The present disclosure relates to a user identification method applicable to a vehicle, the vehicle including at least two microphone arrays, the respective microphone arrays being disposed at different positions of the vehicle, respectively. The user identification method includes: receiving a voice of a user within the vehicle through the at least two microphone arrays; determining directions from the user to the microphone arrays, respectively, according to the voice; calculating an angle between any two of the directions; and identifying a type of the user based at least on the angle.

In a pilotless flying object detection system, a masking area setter sets a masking area to be excluded from detection of a pilotless flying object which appears in a captured image of a monitoring area, based on audio collected by a microphone array. An object detector detects the pilotless flying object based on the audio collected by the microphone array and the masking area set by the masking area setter. An output controller superimpose sound source visual information, which indicates the volume of a sound at a sound source position, at the sound source position of the pilotless flying object in the captured image and displays the result on a first monitor in a case where the pilotless flying object is detected in an area other than the masking area.

In a pilotless flying object detection system, a masking area setter sets a masking area to be excluded from detection of a pilotless flying object which appears in a captured image of a monitoring area, based on audio collected by a microphone array. An object detector detects the pilotless flying object based on the audio collected by the microphone array and the masking area set by the masking area setter. An output controller superimpose sound source visual information, which indicates the volume of a sound at a sound source position, at the sound source position of the pilotless flying object in the captured image and displays the result on a first monitor in a case where the pilotless flying object is detected in an area other than the masking area.

The present document describes a method (700) for determining the position of at least one audio source (200). The method (700) includes capturing (701) first and second microphone signals at two or more microphone arrays (210, 220, 230), wherein the two or more microphone arrays (210, 220, 230) are placed at different positions. The two or more microphone arrays (210, 220, 230) each comprise at least a first microphone capsule to capture a first microphone signal and a second microphone capsule to capture a second microphone signal, wherein the first and second microphone capsules have differently oriented spatial directivities. Furthermore, the method (700) comprises determining (702), for each microphone array (210, 220, 230) and based on the respective first and second microphone signals, an incident direction (211, 221, 231) of at least one audio source (200) at the respective microphone array (210, 220, 230). In addition, the method (700) comprises determining (703) the position of the audio source (200) based on the incident directions (211, 221, 231) at the two or more microphone arrays (210, 220, 230).

Multiple independently movable devices are located upon a platform. On the platform is a directional microphone array. Each of the movable devices is assigned a unique audio signature, which may be a pulse train of chirps or a pseudo random signal or some other audio sequence that is unique to the respective device. Each movable device announces itself with its unique audio signature, and the platform's directional microphone system determines the location from which the unique audio signature comes from. For range, a difference between the time of flight (TOF) of the light relative to the sound signature is used. As another technique a unique audio signature may be an audio water mark concealed in normal audio which may be emitted by the movable device. The watermark provides the identifying information of each movable device.

Multiple independently movable devices are located upon a platform. On the platform is a directional microphone array. Each of the movable devices is assigned a unique audio signature, which may be a pulse train of chirps or a pseudo random signal or some other audio sequence that is unique to the respective device. Each movable device announces itself with its unique audio signature, and the platform's directional microphone system determines the location from which the unique audio signature comes from. For range, a difference between the time of flight (TOF) of the light relative to the sound signature is used. As another technique a unique audio signature may be an audio water mark concealed in normal audio which may be emitted by the movable device. The watermark provides the identifying information of each movable device.

A frictionless access control system and method providing ultrasonic user location are disclosed. The access control system authorizes users within proximity of an access point such as a door, based upon user information (e.g. credentials) sent in RF wireless messages from user devices carried by the users. When the users are authorized, the system instructs the user devices to transmit coded acoustic signals. An positioning unit at the access point includes an ultrasonic microphone array, which is located above the access point and detects the acoustic signals. The positioning unit determines an angle of arrival (AoA) of the acoustic signals at microphones of the array, and determines positions of the users relative to the access point from the AoA. In one implementation, pre-authorized users are granted access when the determined positions of the users are within an inner zone of the access point.

A frictionless access control system and method providing ultrasonic user location are disclosed. The access control system authorizes users within proximity of an access point such as a door, based upon user information (e.g. credentials) sent in RF wireless messages from user devices carried by the users. When the users are authorized, the system instructs the user devices to transmit coded acoustic signals. An positioning unit at the access point includes an ultrasonic microphone array, which is located above the access point and detects the acoustic signals. The positioning unit determines an angle of arrival (AoA) of the acoustic signals at microphones of the array, and determines positions of the users relative to the access point from the AoA. In one implementation, pre-authorized users are granted access when the determined positions of the users are within an inner zone of the access point.

A method and system for locating a sound source are provide. The method may include detecting a sound signal of a sound by each of two audio sensors. The method may also include converting the sound signals detected by the two audio sensors from a time domain to a frequency domain. The method may further include determining a high frequency ratio of each of the sound signals in the frequency domain. The method may further include determining a direction of the sound source based on the high frequency ratios.