Pest trap with disposal container and wireless monitoring

    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.

    PEST DETECTOR TO IDENTIFY A TYPE OF PEST USING MACHINE LEARNING

    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.

    Pest detector to identify a type of pest using machine learning

    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.

    Pest detector to identify a type of pest using machine learning

    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.

    Pest detector to identify a type of pest using machine learning

    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.