A device for detecting a group of offending objects and determining that the number of offending objects is above a predetermined threshold of offending objects. The device uses an image capturing system to scan areas to detect flying objects such as flying insects to detect a presence of a swarm of such flying objects. An action head on the device is configured to automatically respond once a swarm of objects is identified. The action head may disperse the swarm by expelling a substance such as a mist, smoke, repellant or insecticide.

A device for detecting a group of offending objects and determining that the number of offending objects is above a predetermined threshold of offending objects. The device uses an image capturing system to scan areas to detect flying objects such as flying insects to detect a presence of a swarm of such flying objects. An action head on the device is configured to automatically respond once a swarm of objects is identified. The action head may disperse the swarm by expelling a substance such as a mist, smoke, repellant or insecticide.

Techniques for analyzing images of pests using a mobile device application are described. A mobile computing device may receive, via a graphical user interface (GUI), location information input corresponding to a location of a glueboard, an identification input of a pest type caught on the glueboard, and an image of the glueboard. The device may analyze white and dark areas of the image to determine at least one of: 1) total dark surface area of the glueboard and 2) number and size of multiple contiguous dark surface areas of the glueboard. The device may calculate a quantity of pests based on dark surface area and an average size of the pest. The device may output the quantity of pests to the GUI.

Techniques for analyzing images of pests using a mobile device application are described. A mobile computing device may receive, via a graphical user interface (GUI), location information input corresponding to a location of a glueboard, an identification input of a pest type caught on the glueboard, and an image of the glueboard. The device may analyze white and dark areas of the image to determine at least one of: 1) total dark surface area of the glueboard and 2) number and size of multiple contiguous dark surface areas of the glueboard. The device may calculate a quantity of pests based on dark surface area and an average size of the pest. The device may output the quantity of pests to the GUI.

A multi-catch trap unit configured to trap rodents and insect using two respective modalities. The trap is formed of a housing or similar container that is configured to receive one or more mechanical rodent traps. A glue board also is provided that is foldable to form a right angle. The glue board is used to trap insects, and a vertical portion of the glue board also functions to separate an insect-trapping chamber from the rodent-trapping chamber.

A multi-catch trap unit configured to trap rodents and insect using two respective modalities. The trap is formed of a housing or similar container that is configured to receive one or more mechanical rodent traps. A glue board also is provided that is foldable to form a right angle. The glue board is used to trap insects, and a vertical portion of the glue board also functions to separate an insect-trapping chamber from the rodent-trapping chamber.

In an embodiment, as insect trap is disclosed including: a trap portion including a frame and a membrane having an adhesive surface, wherein the membrane is at least partially contained within the frame and is configured to adhere to an insect; and a base portion including a lighting element and a housing portion, wherein the housing portion is configured to receive and retain the trap portion when engaged therewith.

A discrete and safe automated insect monitoring system includes a housing, an interior chamber within the housing, and a light source arranged within the housing to illuminate at least a portion of a floor surface of the interior chamber. A multi-pixel optical sensor is arranged within the housing so that a field of view of the sensor comprehends a substantial portion of the floor surface. A processing circuit arranged within the housing receives optical data from the multi-pixel optical sensor, analyzes the optical data to detect the intrusion of an insect or other object into the interior chamber by comparing most recently received optical data to previously received optical data, and generates an indication in response to detecting the intrusion of an insect or other object. Detection and/or classification results can be wirelessly forwarded to another device, to alert appropriate personnel.

A discrete and safe automated insect monitoring system includes a housing, an interior chamber within the housing, and a light source arranged within the housing to illuminate at least a portion of a floor surface of the interior chamber. A multi-pixel optical sensor is arranged within the housing so that a field of view of the sensor comprehends a substantial portion of the floor surface. A processing circuit arranged within the housing receives optical data from the multi-pixel optical sensor, analyzes the optical data to detect the intrusion of an insect or other object into the interior chamber by comparing most recently received optical data to previously received optical data, and generates an indication in response to detecting the intrusion of an insect or other object. Detection and/or classification results can be wirelessly forwarded to another device, to alert appropriate personnel.

A dog feeder that includes a base, a lid, and a coupler. The base includes a left wall and a right wall that extend vertically away from a tray between the left wall and the right wall. The tray is configured to contain dog food. The lid includes a front side and a back side, where the front side includes a protrusion that protrudes outwards away from the back side. The coupler couples the base to the lid such that the lid is capable of swinging between the left wall and the right wall. The protrusion is configured such that when a head of a dog pushes against the protrusion to swing the lid to expose the tray, ears of the dog do not reach an edge of the lid.