The present disclosure relates to an apparatus and method for monitoring a space using a three-dimensional acoustic web, and to a method of emitting a plurality of acoustic signals, forming a three-dimensional acoustic web in a monitoring target space based on interference between acoustic waves, and recognizing a situation of the monitoring target space based on a change in measured acoustic signals.

An electronic face-identification device, which performs face scanning with ultrasonic waves, includes a housing and an ultrasound device disposed within the housing. The ultrasound device may be configured to transmit ultrasonic waves through air to a face and scan the face with the ultrasonic waves, to receive reflected waves through the air corresponding to reflections of the ultrasonic waves from the face, and to perform a recognition process for the face based on reflections of the ultrasonic waves from the face. The ultrasound device may include a plurality of ultrasound transducers, and electronic circuitry configured to transmit signals to the ultrasound transducers and receive signals from the ultrasound transducers. The face-identification device may be incorporated into various electronic equipment, such as hand-held equipment in the form of smartphones and tablet computers, as well as in larger scale installations at airports, workplace entryways, and the like.

An electronic face-identification device, which performs face scanning with ultrasonic waves, includes a housing and an ultrasound device disposed within the housing. The ultrasound device may be configured to transmit ultrasonic waves through air to a face and scan the face with the ultrasonic waves, to receive reflected waves through the air corresponding to reflections of the ultrasonic waves from the face, and to perform a recognition process for the face based on reflections of the ultrasonic waves from the face. The ultrasound device may include a plurality of ultrasound transducers, and electronic circuitry configured to transmit signals to the ultrasound transducers and receive signals from the ultrasound transducers. The face-identification device may be incorporated into various electronic equipment, such as hand-held equipment in the form of smartphones and tablet computers, as well as in larger scale installations at airports, workplace entryways, and the like.

A method for recognizing a noise represented in a receive signal of an ultrasonic sensor. A characteristic spectrum of the noise is compared with a noise spectrum of the receive signal, the noise spectrum including at least two noise levels determined in different frequency bands of the receive signal.

A method for recognizing a noise represented in a receive signal of an ultrasonic sensor. A characteristic spectrum of the noise is compared with a noise spectrum of the receive signal, the noise spectrum including at least two noise levels determined in different frequency bands of the receive signal.

A method for controlling a sound box, includes: in response to the sound box being in a standby state, emitting an ultrasonic signal, and receiving a reflected ultrasonic signal reflected by an external object; acquiring a moving trajectory of the external object according to the reflected ultrasonic signal; and determining a target operation instruction to be executed according to the moving trajectory of the external object.

A method for controlling a sound box, includes: in response to the sound box being in a standby state, emitting an ultrasonic signal, and receiving a reflected ultrasonic signal reflected by an external object; acquiring a moving trajectory of the external object according to the reflected ultrasonic signal; and determining a target operation instruction to be executed according to the moving trajectory of the external object.

An object detection apparatus detects a target object present in a periphery of a moving body. The object detection apparatus derives recognition information indicating a state of a target object, and predicts a state of the target object at a next second observation timing, based on the recognition information derived at a first observation timing. The object detection apparatus derives a score based on a degree of difference between a state of the target object observed at the second observation timing and a next state of the target object predicted at the first observation timing. The object detection apparatus derives a reliability level by statistically processing scores related to the target object derived at a plurality of observation timings from past to present. In response to the reliability level satisfying a predetermined reference, the object detection apparatus determines that the target object related to the reliability level is actually present.

A method for identifying a road condition of a road. A piece of road condition information representing the road condition is determined using a noise level detected by at least one ultrasonic sensor of a vehicle and a bottom echo detected from a road surface in the area of the vehicle.

A method for identifying a road condition of a road. A piece of road condition information representing the road condition is determined using a noise level detected by at least one ultrasonic sensor of a vehicle and a bottom echo detected from a road surface in the area of the vehicle.