An object detector includes: a triangulation calculation unit that performs triangulation calculation for detecting a location of an object based on first distance information calculated based on direct waves in which transmitted waves transmitted from a first transmission and reception unit are reflected by an object and received by the first transmission and reception unit, and second distance information calculated based on indirect waves in which transmitted waves transmitted from a second transmission and reception unit arranged in a location different from the first transmission and reception unit are reflected by an object and received by the first transmission and reception unit; and a prohibition processing unit that prohibits triangulation calculation when a difference between first velocity information indicating a velocity of an object calculated based on the direct waves and second velocity information indicating a velocity of an object calculated based on the indirect waves exceeds a predetermined range.

An object detector includes: a triangulation calculation unit that performs triangulation calculation for detecting a location of an object based on first distance information calculated based on direct waves in which transmitted waves transmitted from a first transmission and reception unit are reflected by an object and received by the first transmission and reception unit, and second distance information calculated based on indirect waves in which transmitted waves transmitted from a second transmission and reception unit arranged in a location different from the first transmission and reception unit are reflected by an object and received by the first transmission and reception unit; and a prohibition processing unit that prohibits triangulation calculation when a difference between first velocity information indicating a velocity of an object calculated based on the direct waves and second velocity information indicating a velocity of an object calculated based on the indirect waves exceeds a predetermined range.

A medicine-taking detection system is provided that includes an ingestion device 1 and a detection device that detects taking of the ingestion device. The ingestion device includes a medicine, a signal transmission unit that transmits a first signal, a signal reception unit that receives a reflected signal of the first signal transmitted from the signal transmission unit, and a secondary battery that supplies power to the signal transmission unit and the signal reception unit. The signal transmission unit is configured to, when the signal reception unit receives the reflected signal, transmit a second signal including information on a signal intensity of the reflected signal, and the detection device receives the second signal and detects the taking of the ingestion device based on the information on the signal intensity of the reflected signal.

A system for presenting sonar beam indicators on charts for noting the direction of the sonar beam is provided herein. The system includes one or more transducer elements and a bearing sensor configured to measure a bearing associated with the one or more transducer elements during receipt of the sonar returns. A marine electronics device is configured to receive sonar return data from the one or more transducer elements and generate sonar images based thereon. The marine electronics device further is configured to determine a watercraft location, receive a measured bearing, plot a watercraft indicator on a navigation chart, and cause a sonar beam indicator to be displayed in association with the watercraft indicator based on the measured bearing. The sonar beam indicator displays an indication of the direction in which the one or more transducer elements are facing when the sonar return data was received.

A system for presenting sonar beam indicators on charts for noting the direction of the sonar beam is provided herein. The system includes one or more transducer elements and a bearing sensor configured to measure a bearing associated with the one or more transducer elements during receipt of the sonar returns. A marine electronics device is configured to receive sonar return data from the one or more transducer elements and generate sonar images based thereon. The marine electronics device further is configured to determine a watercraft location, receive a measured bearing, plot a watercraft indicator on a navigation chart, and cause a sonar beam indicator to be displayed in association with the watercraft indicator based on the measured bearing. The sonar beam indicator displays an indication of the direction in which the one or more transducer elements are facing when the sonar return data was received.

A distributed acoustic anti-unmanned boat intelligence system (DAAUBS) for detecting unmanned boats (UB) approaching protected sites includes a plurality of airborne defense agents (ADAs) and a base station. Each ADA is equipped with air balloons, tethers, buoys, a directional microphone array, a first computing device, and a transceiver. The first computing device causes at least processor to determine information regarding each approaching UB. The base station includes a control center configured with a wideband communications link configured to communicate with the transceiver of each ADA. The DAAUBS control center includes a second computing device performing an intelligence method. The second processor receives and aggregates the data of each approaching UB and performs adaptive noise cancellation to remove environmental background noise. The second processor uses a deep learning classifier to classify at least one of a type and size of the UB.

A distributed acoustic anti-unmanned boat intelligence system (DAAUBS) for detecting unmanned boats (UB) approaching protected sites includes a plurality of airborne defense agents (ADAs) and a base station. Each ADA is equipped with air balloons, tethers, buoys, a directional microphone array, a first computing device, and a transceiver. The first computing device causes at least processor to determine information regarding each approaching UB. The base station includes a control center configured with a wideband communications link configured to communicate with the transceiver of each ADA. The DAAUBS control center includes a second computing device performing an intelligence method. The second processor receives and aggregates the data of each approaching UB and performs adaptive noise cancellation to remove environmental background noise. The second processor uses a deep learning classifier to classify at least one of a type and size of the UB.

An apparatus determines a spatial position of an audio source in multi moving audio sources scenarios. The apparatus receives audio signal versions as local sound waves. The apparatus determines first and second probabilities for a direction of arrival of the audio signal version based on the audio signal versions received within a first time interval; determines third and fourth probabilities for the direction of arrival of the audio signal version based on the audio signal versions received within a second time interval; determines a first probability difference between the first and third probabilities; determines a second probability difference between the second and fourth probabilities; combines the third probability and the first probability difference to obtain an updated third probability; combines the fourth probability with the second probability difference to obtain an updated fourth probability; and determines the spatial position based on the updated third and fourth probabilities.

An apparatus determines a spatial position of an audio source in multi moving audio sources scenarios. The apparatus receives audio signal versions as local sound waves. The apparatus determines first and second probabilities for a direction of arrival of the audio signal version based on the audio signal versions received within a first time interval; determines third and fourth probabilities for the direction of arrival of the audio signal version based on the audio signal versions received within a second time interval; determines a first probability difference between the first and third probabilities; determines a second probability difference between the second and fourth probabilities; combines the third probability and the first probability difference to obtain an updated third probability; combines the fourth probability with the second probability difference to obtain an updated fourth probability; and determines the spatial position based on the updated third and fourth probabilities.

An object detection apparatus includes a first and second transmission and reception units which are away from each other and transmit a probe wave and receive the probe wave reflected by an object, and a processing unit configured to calculate a position of the object based on a reception result. The processing unit includes a distance processing unit configured to calculate a first point based on a reception result when the first transmission and reception unit transmits the probe wave, calculate a second point based on a reception result when the second transmission and reception unit transmits the probe wave, and calculate a separation distance between the first and second points, a position calculation unit configured to calculate the position of the object based on the first and second points, and a position correction unit configured to correct the position with a correction amount corresponding to the calculated position.