A trap 1 has a frame 3, a striking bar 5 connected to the frame for killing a mouse or rat and a retaining bracket 7 attached to the striking bar, which is blocked in standby position by a blocking pawl 11 which can be released by an activating element 13. A spring 9 is present between the striking bar and the frame, which striking bar hits the frame after activation. The trap is provided with a first sensor 17 which determines whether the striking bar is present in the standby or activated position, and a second sensor 19 which determines whether a mouse is present between the frame and the striking bar or not. The trap can determine three situations with the two sensors: standby, tripped and tripped with a mouse in the trap. This allows the status of the trap to be properly monitored.

A pest control apparatus to aid in placement of pest control devices in hard to reach areas and improve health and safety of users. The device can have a handle, an adhesive applied to a receiving pad, and a removable protective cover in contact with the adhesive. When utilized, the pest control apparatus can minimize contact with pests and/or rodents to prevent transmittal of disease.

A pest control apparatus to aid in placement of pest control devices in hard to reach areas and improve health and safety of users. The device can have a handle, an adhesive applied to a receiving pad, and a removable protective cover in contact with the adhesive. When utilized, the pest control apparatus can minimize contact with pests and/or rodents to prevent transmittal of disease.

The present invention relates to a pest monitoring method based on machine vision. The method includes the following steps: arranging a pest trap at a place where pests gather, and setting an image acquisition device in front of the pest trap to acquire an image; identifying a pest in the acquired image, and obtaining a number of pests; extracting multiple suspicious pest images from a region of each identified pest in the image, and determining identification accuracy of each suspicious pest image, if the number of pests is greater than or equal to a preset threshold for the number of pests; and calculating a predicted level of pest damage based on the number of pests and the identification accuracy of each suspicious pest image. The present invention acquires a pest image automatically through the image acquisition device in front of the pest trap.

The present invention relates to a pest monitoring method based on machine vision. The method includes the following steps: arranging a pest trap at a place where pests gather, and setting an image acquisition device in front of the pest trap to acquire an image; identifying a pest in the acquired image, and obtaining a number of pests; extracting multiple suspicious pest images from a region of each identified pest in the image, and determining identification accuracy of each suspicious pest image, if the number of pests is greater than or equal to a preset threshold for the number of pests; and calculating a predicted level of pest damage based on the number of pests and the identification accuracy of each suspicious pest image. The present invention acquires a pest image automatically through the image acquisition device in front of the pest trap.

An animal trap system includes a glue board, an animal trap accelerometer sensor, and a signal unit in close proximity to and in communications with the animal trap accelerometer sensor, wherein the signal unit also contains an accelerometer sensor. The animal trap system is capable of detecting capture events, non-capture events, false positives, and/or the type of animal captured by using differential signal analysis and machine learning techniques. When an acceleration is received by the animal trap accelerometer sensor above a pre-set acceleration threshold value, it sends a capture signal to the signal unit and if the signal unit does not receive such acceleration event, the signal unit transmits a capture signal to an off-site receiver. A method of trapping one or more animals using this system is also provided.

A land animal snare barrier comprising a first layer of netting and a second layer of netting. The first layer defining a first plurality of through holes of a first size. The second layer defining a second plurality of through holes of a second size. Each layer has a width that measures between 9 inches and 24 inches.

A land animal snare barrier comprising a first layer of netting and a second layer of netting. The first layer defining a first plurality of through holes of a first size. The second layer defining a second plurality of through holes of a second size. Each layer has a width that measures between 9 inches and 24 inches.

A mite trap for the purpose of early detection, viewing and assessment of mite infestation.

A mite trap that includes a mite attracting material.

A mite trap made of transparent plastic including a mite attractant.

Inside the trap is a compartment containing double sided tape or adhesive, hydrated super absorbent polymer, the pheromone neryl propionate, fish food flakes and fabric to absorb the attractants.

The absorbent material may be made of cotton, paper, wool, nylon or any other absorbent material.

The trap has an opening to allow mites to enter the trap and get stuck on double sided tape or adhesive in such a way that they can be easily viewed with the aid of a magnifying device.

The absorbent material that contains the mite attractant is positioned in the center of the trap with double sided tape or adhesive on each side of the mite attractant.

The attractant and double sided tape or adhesive are placed between transparent plastic slides and are visible through the trap.

A land animal snare barrier comprising a netting having a first layer and a second layer. The first layer defines a first plurality of through holes of a first size. The second layer defines a second plurality of through holes of a second size.