Abstract: 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.

Abstract: The present disclosure relates to determination of the weight of an animal, especially cattle, in a shed environment based on vision technology, in particular 3D imaging. A first embodiment relates to a method for determining the weight of an animal with known breed, the method comprising the steps of acquiring at least one 3D image of the back of the animal, extracting data from said at least one 3D image relating to the topology of the back of the animal, and calculating the weight of said animal by correlating the extracted data against a reference model comprising information of the topology of the back versus the weight for the breed of said animal.

Abstract: 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.

Abstract: 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. In a first aspect 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.

Abstract: 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. In a first aspect 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.

Abstract: The invention regards an animal monitoring system for determining feed consumption of one or more animals feeding at a feeding area, comprising an imaging unit for range imaging the feeding area, identification means configured to uniquely identify each feeding animal, and processing means configured for assessing the amount of feed consumed by each identified animal by determining the reduction of feed in subsequent images of the feeding area in front of each identified animal.

Abstract: The invention regards an animal monitoring system for determining feed consumption of one or more animals feeding at a feeding area, comprising an imaging unit for range imaging the feeding area, identification means configured to uniquely identify each feeding animal, and processing means configured for assessing the amount of feed consumed by each identified animal by determining the reduction of feed in subsequent images of the feeding area in front of each identified animal.

Abstract: The invention regards an animal monitoring system for determining feed consumption of one or more animals feeding at a feeding area, comprising an imaging unit for range imaging the feeding area, identification means configured to uniquely identify each feeding animal, and processing means configured for assessing the amount of feed consumed by each identified animal by determining the reduction of feed in subsequent images of the feeding area in front of each identified animal.

Abstract: The invention regards an animal monitoring system for determining feed consumption of one or more animals feeding at a feeding area, comprising an imaging unit for range imaging the feeding area, identification means configured to uniquely identify each feeding animal, and processing means configured for assessing the amount of feed consumed by each identified animal by determining the reduction of feed in subsequent images of the feeding area in front of each identified animal.