Pest Repelling Device

A pest control system, comprising:

• a plurality of pest monitoring devices, each comprising a pest repelling magnetic field generating device, a pest detection device, and a pest trapping device, wherein the pest repelling magnetic field generating device comprises a fan oriented to force air to flow through at least 10 one aperture of the pest magnetic field generating device from an inside of the pest magnetic field generating device to the outside of the pest magnetic field generating device;
• and,
• a computer system operably coupled to the plurality of pest monitoring devices and configured to remotely control the plurality of pest monitoring devices, the computer system comprising:
• a processor;
• and,
• a tangible memory storage device containing a program of instructions that, when executed by the processor, cause the processor to perform operations to remotely control one or more remotely connected pest monitoring device based on user status information and a pest activity profile, the operations comprising:
• receive a remote communication signal from the plurality of pest monitoring devices;
• retrieve an account standing associated with the plurality of pest monitoring devices;
• if the account standing does not meet a predetermined criterion for operating the plurality of pest monitoring devices, then generate control signals to deactivate the plurality of pest monitoring devices;
• and,
• if the account standing meets a predetermined criterion for operating the plurality of pest monitoring devices, then, based on a machine learning model, generate control signals to configure the plurality of pest monitoring devices, wherein the machine learning model is trained on a statistical model of pest activity, historical configurations of the plurality of pest monitoring devices, and a current configuration of the plurality of pest monitoring devices to generate an updated configuration of the plurality of pest monitoring devices, wherein the statistical model of pest activity is generated by processing raw data received from the pest detection device, such that the pest control system is configured to actively reduce pests.

A computer system configured to remotely control a plurality of pest monitoring devices, the computer system comprising:

• a processor;
• and,
• a tangible memory storage device containing a program of instructions that, when executed by the processor, cause the processor to perform operations to remotely control one or more remotely connected pest monitoring device based on user status information and a pest activity profile, the operations comprising:
• receive a remote communication signal from the plurality of pest monitoring devices;
• retrieve an account standing associated with the plurality of pest monitoring devices;
• if the account standing does not meet a predetermined criterion for operating the plurality of pest monitoring devices, then generate control signals to deactivate the plurality of pest monitoring devices;
• and,
• if the account standing meets a predetermined criterion for operating the plurality of pest monitoring devices, then, based on a machine learning model, generate control signals to configure the plurality of pest monitoring devices, wherein the machine learning model is trained on a statistical model of pest activity, historical configurations of the plurality of pest monitoring devices, and a current configuration of the plurality of pest monitoring devices to generate an updated configuration of the plurality of pest monitoring devices, such that the pest control system is configured to actively reduce pests.

A computer program product (CPP) tangibly embodied in a storage device, the CPP including operations that, when executed by a processor, cause the processor to perform operation to remotely control one or more remotely connected pest monitoring device based on user status information and a pest activity profile, the operations comprising:

• receive a remote communication signal from a plurality of pest monitoring devices;
• retrieve, from a status database, an account standing associated with the plurality of pest monitoring devices;
• if the account standing does not meet a predetermined criterion for operating the plurality of pest monitoring devices, then generate control signals to deactivate the plurality of pest monitoring devices;
• and,
• if the account standing meets a predetermined criterion for operating the plurality of pest monitoring devices, then, based on a machine learning model, generate control signals to configure the plurality of pest monitoring devices, wherein the machine learning model is trained on a statistical model of pest activity, historical configurations of the plurality of pest monitoring devices, and a current configuration of the plurality of pest monitoring devices to generate an updated configuration of the plurality of pest monitoring devices, such that the pest control system is configured to actively reduce pests.