Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for canine assisted home monitoring. The methods, systems, and apparatus include actions of: obtaining a reference signal from an animal at a property; determining whether an event occurred at the property corresponding to when the reference signal from the animal was received; in response to a determination that the event occurred at the property corresponding to when the reference signal from the animal was received, determining that the reference signal indicates that the event is likely occurring at the property; obtaining a sample signal from the animal at the property; determining whether the sample signal corresponds to the reference signal; and notifying a user that the event, which was determined to be indicated by the reference signal, is likely occurring again at the property.

A pest control device comprising a capacitive sensor array including a plurality of sensor pads, the capacitive sensor array being configured to generate an electrical output signal indicating the state of each sensor pad, and an electronic controller electrically connected to the capacitive sensor array, the electronic controller including a processor and a memory including a plurality of instructions, which, when executed by the processor, causes the processor to: receive the electrical output signals from the capacitive sensor array, determine a measured capacitance value for each sensor pad based on each electrical output signal, calculate a baseline for each sensor pad based on the measured capacitance value of the sensor pad, determine whether a difference between the measured capacitance value of at least one sensor pad and its corresponding baseline exceeds a first predetermined threshold, update a counter when the first predetermined threshold is exceeded, and record an event indicative of a presence of a pest when the counter exceeds a predetermined limit.

The present disclosure describes a system which is able to detect and recognize wildlife, and in particular birds, using camera images. The present solution is comprised of algorithms, software and integrated hardware devices. Properly equipped, the system can be made to be portable and can be set up at any location for different wildlife detection and repelling purposes.

A system for managing and monitoring a sensor network that senses pest activity. A plurality of sensor stations may be controlled by the system, such sensor station configured for detecting the presence of pests at a baiting station, or for alerting users to the presence of a pest in a trap, as well as a related system of data collection and data management of pest activity data.

A trap for large animals. The system utilizes multi-containment areas for improved efficiency in herd animal trapping. The outer containment zone of the system is designed in such a way to promote animals further into the inner containment zone. The improved efficiency lowers overall cost of trap operation in terms of time, consumable bait replenishment and number of attempts on target animal groups. The system allows for independent and remote actuation of containment zone gates. Data is transmitted to a remote user and remote actuation of attracting or deterring audio can be done during trapping process. The architecture of the trap dissuades animals capable of jumping from doing so over the containment walls.

This disclosure provides a method of detecting and deterring a target animal from a target area. A target area is positioned within the field of vision of a video camera connected to a computer processing system. An animal identification computer program using convolution neural networks and deep learning computer programs and camera images rapidly detects a target animal. The animal identification computer program is trained to identify target animals accurately using a learning algorithm and related machine learning technology. The time to deploy a deterrent against a target animal from the instant of detection is 2 seconds or less so that little or no time is available to the target animal to damage the target area.

In an aspect, a pest control system is provided, and includes at least one monitoring device and a control system. The at least one monitoring devices includes sensing circuitry, communication circuitry and a plurality of possible states which correspond to a plurality of actions of a target species. The sensing circuitry detects states from the plurality of possible states and the communication circuitry transmits at least one dataset relating to the detected states. The control system includes at least one processor and at least one memory, where the memory stores the at least one dataset transmitted from the at least one monitoring device as a stored dataset and the memory has instructions stored therein which are executable by the at least one processor for identifying a change in the actions of the target species of pest based on the at least one stored dataset.

An electronic rodent trap includes an outer housing forms a trap body having two entrances defined on opposite sides thereof and creates a tunnel therebetween extending longitudinally between the entrances. A high voltage killing circuit is arranged within the trap body, and includes a plurality of killing plates and a triggering element separate from the plurality of killing plates and spaced inwardly from the entrance. A removable tunnel module is received within the outer housing and includes opposed entrances in alignment with the two entrances of the trap body. A removable electronics module is received within the outer housing, the electronics module contains the voltage circuit operatively connected to the plurality of killing plates.

A mechanical rodent trap has a jaw mounted to a base, with a trigger therebetween which is activated by the incidence of a rodent. An acceleration sensor is mounted in a case in the base in a sensor module that logs and transmit a signal indicating activation of the trap. Alternatively a magnet holder secures a magnet to the trigger, and a Hall effect sensor is used in the sensor module. The sensor modules are sealed within a compartment formed with the base beneath the trigger and closed by a cover.

A precast dam structure includes at least two precast segments coupled together via linkages and a flow path structure. The flow path structure defines a flow path having an intake port and a draft port and is associated with at least one of the at least two precast segments. The flow path structure is configured to provide a change in flow direction, either internally or externally, from the at least one of the at least two precast segments.