An animal information management system includes an identification information obtaining unit which obtains identification information of an animal included in a first image, based on the first image captured by an imaging device during patrol imaging of a predetermined region in a first zoom setting in which only part of the predetermined region is an imaging target, the animal being included in animals present in the predetermined region; and a control unit which causes the imaging device to capture a second image including the animal in a second zoom setting having a zooming magnification lower than that of the first zoom setting when the identification information is obtained.

Devices and methods for monitoring the weight of animals in an animal housing facility including a support surface configured so that at least one of the animals can stand on the support surface, a force sensor, attached to the support surface, for measuring a force indicative of a weight of the animal on the support surface, a rail system actuator for suspending the device from a rail or track of a rail system and propelling it along the rail or track, a processor receiving a signal from the force sensor indicative of a weight of the animal or animals on the support surface when the support surface is located at a target position, and determining a weight measurement of an individual animal based on the signal.

Devices and methods for monitoring the weight of animals in an animal housing facility including a support surface configured so that at least one of the animals can stand on the support surface, a force sensor, attached to the support surface, for measuring a force indicative of a weight of the animal on the support surface, a rail system actuator for suspending the device from a rail or track of a rail system and propelling it along the rail or track, a processor receiving a signal from the force sensor indicative of a weight of the animal or animals on the support surface when the support surface is located at a target position, and determining a weight measurement of an individual animal based on the signal.

A method for determining a normalized weight of a non-static item is disclosed. Weight data associated with the non-static item is received from a plurality of load cells. A load cell weight for the non-static item is determined based at least in part on the weight data. The load cell weight for the non-static item is received as an input for a machine learning algorithm. The normalized weight for the non-static item is generated as an output for the machine learning algorithm.

A method for determining a normalized weight of a non-static item is disclosed. Weight data associated with the non-static item is received from a plurality of load cells. A load cell weight for the non-static item is determined based at least in part on the weight data. The load cell weight for the non-static item is received as an input for a machine learning algorithm. The normalized weight for the non-static item is generated as an output for the machine learning algorithm.

A system and method for estimating livestock weight is described. Embodiments of the system can include a computing device and a three-dimensional tag configured to be secured to an animal. One or more images of an animal, including the three-dimensional tag, can be processed to take various measurements of the animal. A scaling factor for the measurements can be based on the three-dimensional tag. After the measurement are calibrated, a weight of the animal can be estimated based on the calibrated measurements.

A system and method for estimating livestock weight is described. Embodiments of the system can include a computing device and a three-dimensional tag configured to be secured to an animal. One or more images of an animal, including the three-dimensional tag, can be processed to take various measurements of the animal. A scaling factor for the measurements can be based on the three-dimensional tag. After the measurement are calibrated, a weight of the animal can be estimated based on the calibrated measurements.

The present invention provides an animal harness comprising a harness body and a scale. The scale is secured to the harness body by a securement means. The harness can be utilized by a user to provide a specific amount of assistance to an animal using the harness because the scale will provide the user with the exact amount the animal weighs and how much assistance the user is providing the animal.

The present invention provides an animal harness comprising a harness body and a scale. The scale is secured to the harness body by a securement means. The harness can be utilized by a user to provide a specific amount of assistance to an animal using the harness because the scale will provide the user with the exact amount the animal weighs and how much assistance the user is providing the animal.

In a configuration in which an image acquisition unit that acquires an image of an animal, a shape identification unit that identifies a shape of a predetermined portion of the animal from the image, an information generation unit that, on a basis of the shape of the predetermined portion, generates estimation information used for estimating a weight of the animal, and a weight estimation unit that estimates the weight on a basis of the estimation information are provided, the information generation unit is capable of generating the estimation information both in a case where a first image (an animal image GA) in which the animal is imaged from a first direction is acquired and in a case where a second image in which the animal is imaged from a second direction that is different from the first direction is acquired.