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公开(公告)号:US20210153490A1
公开(公告)日:2021-05-27
申请号:US16946204
申请日:2020-06-10
摘要: In some implementations, a computing device may receive a notification from a pest detector. In response, the computing device may initiate execution of a software application and display a user interface. The user interface may enable playback of the notification, such as displaying a photograph of a pest or playing back audio of noise made by the pest. The user interface may display a floor plan of a building along with a location of the pest detector and additional locations of additional pest detectors located in the building superimposed on the floor plan. The user interface may enable selecting a particular building of multiple buildings, a particular floor of multiple floors, or a particular room of multiple rooms. The user interface may display where pests have been detected superimposed on the floor plan.
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公开(公告)号:US10849320B2
公开(公告)日:2020-12-01
申请号:US16271488
申请日:2019-02-08
摘要: In some implementations, a trap to capture and kill a pest may include a circuit. The circuit may receive sensor data from a sensor and determine that a pest has entered the trap. The circuit may cause a shutter inside the trap to move from an approximately horizontal position to an approximately vertical position, thereby causing a portion of a door of a container located inside the trap to come in contact with adhesive on an outer surface of the container to prevent the pest from leaving the container. Substantially simultaneously with the shutter moving, the circuit may provide electricity to two conductive plates located on in a inner bottom surface of the container, thereby causing the electricity to pass through the pest. The circuit may send a wireless notification message, indicating that the pest was captured in the container, over a wireless network to a computing device.
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公开(公告)号:US20200093116A1
公开(公告)日:2020-03-26
申请号:US16697893
申请日:2019-11-27
摘要: In some implementations, a detector may include one or more sensors, one or more external indicators, one or more processors, and one or more non-transitory computer readable media storing instructions that are executable by the one or more processors to perform various operations. The operations may include detecting, by a motion sensor, movement associated with the pest and capturing, by a sensor (e.g., an imaging sensor) of the detector, sensor data (e.g., a digital image) of the pest. The operations may include determining, by a machine learning algorithm, that the sensor data indicates a presence of a pest, and sending a notification message to a computing device. The notification message may include at least a portion of the sensor data. The operations may include visually indicating, using a pest indicator of the one or more external indicators, that the pest was detected.
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公开(公告)号:US11234427B2
公开(公告)日:2022-02-01
申请号:US16946201
申请日:2020-06-10
摘要: In some implementations, a server may receive sensor data from a plurality of detectors, including receiving first sensor data from a first detector and second sensor data from a second detector. The server may use the sensor data to retrain a detector-based machine learning algorithm to create an updated detector-based machine learning algorithm. The server may send the updated detector-based machine learning algorithm to the first detector and the second detector. For example, the updated machine learning algorithm may be trained to identify at least one pest that the machine learning algorithm is incapable of identifying.
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公开(公告)号:US20210153491A1
公开(公告)日:2021-05-27
申请号:US16946205
申请日:2020-06-10
摘要: In some implementations, a pest detector may receive sensor data from a sensor. The pest detector may determine, using a machine learning algorithm, that the sensor data indicates a presence of a first type of pest. The pest detector may send a notification message, including at least a portion of the sensor data, to a computing device and visually indicate that the first type of pest was detected using an indicator. The pest detector may receive an update to the machine learning algorithm from a server and install the update to create an updated machine learning algorithm. The pest detector may receive second sensor data and determine, using the updated machine learning algorithm, that the second sensor data indicates the presence of a second type of pest that is not recognized by the machine learning algorithm.
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公开(公告)号:US20210153489A1
公开(公告)日:2021-05-27
申请号:US16946201
申请日:2020-06-10
摘要: In some implementations, a server may receive sensor data from a plurality of detectors, including receiving first sensor data from a first detector and second sensor data from a second detector. The server may use the sensor data to retrain a detector-based machine learning algorithm to create an updated detector-based machine learning algorithm. The server may send the updated detector-based machine learning algorithm to the first detector and the second detector. For example, the updated machine learning algorithm may be trained to identify at least one pest that the machine learning algorithm is incapable of identifying.
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公开(公告)号:US11234429B2
公开(公告)日:2022-02-01
申请号:US16946205
申请日:2020-06-10
摘要: In some implementations, a pest detector may receive sensor data from a sensor. The pest detector may determine, using a machine learning algorithm, that the sensor data indicates a presence of a first type of pest. The pest detector may send a notification message, including at least a portion of the sensor data, to a computing device and visually indicate that the first type of pest was detected using an indicator. The pest detector may receive an update to the machine learning algorithm from a server and install the update to create an updated machine learning algorithm. The pest detector may receive second sensor data and determine, using the updated machine learning algorithm, that the second sensor data indicates the presence of a second type of pest that is not recognized by the machine learning algorithm.
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公开(公告)号:US10729119B2
公开(公告)日:2020-08-04
申请号:US16697893
申请日:2019-11-27
摘要: In some implementations, a detector may include one or more sensors, one or more external indicators, one or more processors, and one or more non-transitory computer readable media storing instructions that are executable by the one or more processors to perform various operations. The operations may include detecting, by a motion sensor, movement associated with the pest and capturing, by a sensor (e.g., an imaging sensor) of the detector, sensor data (e.g., a digital image) of the pest. The operations may include determining, by a machine learning algorithm, that the sensor data indicates a presence of a pest, and sending a notification message to a computing device. The notification message may include at least a portion of the sensor data. The operations may include visually indicating, using a pest indicator of the one or more external indicators, that the pest was detected.
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公开(公告)号:US10729118B2
公开(公告)日:2020-08-04
申请号:US16697826
申请日:2019-11-27
摘要: In some implementations, a detector may include one or more sensors, one or more external indicators, one or more processors, and one or more non-transitory computer readable media storing instructions that are executable by the one or more processors to perform various operations. The operations may include detecting, by a motion sensor, movement associated with the pest and capturing, by a sensor (e.g., an imaging sensor) of the detector, sensor data (e.g., a digital image) of the pest. The operations may include determining, by a machine learning algorithm, that the sensor data indicates a presence of a pest, and sending a notification message to a computing device. The notification message may include at least a portion of the sensor data. The operations may include visually indicating, using a pest indicator of the one or more external indicators, that the pest was detected.
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公开(公告)号:US10524461B1
公开(公告)日:2020-01-07
申请号:US16141519
申请日:2018-09-25
摘要: In some implementations, a detector may include one or more sensors, one or more external indicators, one or more processors, and one or more non-transitory computer readable media storing instructions that are executable by the one or more processors to perform various operations. The operations may include detecting, by a motion sensor, movement associated with the pest and capturing, by a sensor (e.g., an imaging sensor) of the detector, sensor data (e.g., a digital image) of the pest. The operations may include determining, by a machine learning algorithm, that the sensor data indicates a presence of a pest, and sending a notification message to a computing device. The notification message may include at least a portion of the sensor data. The operations may include visually indicating, using a pest indicator of the one or more external indicators, that the pest was detected.
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