In a method and system for managing a social group, the method includes determining a group member behavior from a member position relative to the social group, and inferring a member state from the member behavior. Spatial, spatio-temporal, and biometric data may be used. A social group management system includes an inference engine that infers a member state from the behavior of a monitored member. Another social group management method includes characterizing a first monitored member of the social group as a first discrete element; characterizing at least a second monitored member of the social group as at least a second discrete element; and determining a characteristic displacement between the first monitored member and at least the second monitored member in accordance with a discrete element method.

A device is described herein comprising a base unit including at least three transceivers, wherein the at least three transceivers are communicatively coupled with at least one processor of the base unit. The at least one processor and the at least three transceivers are configured to determine locations of a transceiver remote to the base unit, wherein the location determinations comprise a series of transceiver locations along a boundary path, wherein the series of location determinations define a boundary region. The at least one processor determines locations using information of communications between the transceiver and the at least three transceivers and the relative positioning of the at least three transceivers.

The present disclosure relates to a system and a method for identification of individual animals based on images, such as 3D-images, of the animals, especially of cattle and cows. When animals live in areas or enclosures where they freely move around, it can be complicated to identify the individual animal. The present disclosure relates to a method for determining the identity of an individual animal in a population of animals with known identity, the method comprising the steps of acquiring at least one image of the back of a preselected animal, extracting data from said at least one image relating to the anatomy of the back and/or topology of the back of the preselected animal, and comparing and/or matching said extracted data against reference data corresponding to the anatomy of the back and/or topology of the back of the animals with known identity, thereby identifying the preselected animal.

The present disclosure relates to a system and a method for identification of individual animals based on images, such as 3D-images, of the animals, especially of cattle and cows. When animals live in areas or enclosures where they freely move around, it can be complicated to identify the individual animal. The present disclosure relates to a method for determining the identity of an individual animal in a population of animals with known identity, the method comprising the steps of acquiring at least one image of the back of a preselected animal, extracting data from said at least one image relating to the anatomy of the back and/or topology of the back of the preselected animal, and comparing and/or matching said extracted data against reference data corresponding to the anatomy of the back and/or topology of the back of the animals with known identity, thereby identifying the preselected animal.

Systems and methods for identifying and tracking pets by use of a pet identification tag or image recognition techniques are disclosed. In exemplary embodiments, a mobile computing device communicates with a pet identification tag over a near-field communication link and a remote server over a wireless communication link. The mobile computing device is configured to identify a pet based on a unique identifier for the tag and/or to provide an image of a pet to the remote server, and to download information about the pet from the remote server using the unique identifier or pet image.

A pet tag that offers a display head with imprinted owner information that is attached directly to a collar by a bolt running through an existing eyelet on a collar. It is an inclusive tag comprising the means to attach in addition to providing pet identification information on the display head surface.

A pet tag that offers a display head with imprinted owner information that is attached directly to a collar by a bolt running through an existing eyelet on a collar. It is an inclusive tag comprising the means to attach in addition to providing pet identification information on the display head surface.

The application describes animal identification systems. One animal identification device includes a male part including a shank (12) extending from a support (11) and ending in a locking head (122) intended to be inserted into a female part so as to fix the identification device to an animal, the shank having passing through it a longitudinal canal that allows the passage of the animal tissue sampling member. The shank (12) includes at least one abutment element (13) protruding into the canal, located between the middle of the shank and the distal end of the head (124), the at least one abutment element defining a bearing zone against which at least one bearing element of the sampling member can bear while animal tissue is being sampled. The sampling member includes at least one bearing element that complements the at least one abutment element of the male part.

Generally, an animal monitoring system including a bolus administered to reside in an animal operable to sense changes in one or more physiological parameters of the animal and generate and transmit encoded bolus sensor data to a tag affixed on the outside of the animal which operates to sense changes in one or more environmental parameters surrounding the animal and to generate encoded tag sensor data and to receive encoded bolus sensor data each of which can be analyzed by the tag or a remote data processor to generate environmental parameter values and physiological parameter values to assess an environmental or physiological condition of or about the animal.

An animal nutrition system and method for effectively monitoring and managing animal nutrition. The animal nutrition system and method generally includes a food container storing a volume of pet food, a package identification chip attached to the food container, a food serving appliance configured to removably receive the food container, and a scale positioned within the food serving appliance to weigh the food container periodically to generate weight data. The food serving appliance includes a chip reader that communicates with the package identification chip to receive food container data from the package identification chip to acquire data related to the food package.