Abstract: There is provided a system and method for automatically monitoring a ruminant animal. The system comprises a 3D camera system that obtains images from a region of interest, in particular the paralumbar fossa. An image processor determines the surface curvature in the region of interest, as a function of time. Based on the frequency with which this function attains local maxima, a health indication for the animal is generated.

Abstract: There is provided a system and method for automatically monitoring a ruminant animal. The system comprises a 3D camera system that obtains images from a region of interest, in particular the paralumbar fossa. An image processor determines the surface curvature in the region of interest, as a function of time. Based on the frequency with which this function attains local maxima, a health indication for the animal is generated.

Abstract: A system and method for automatically monitoring a ruminant animal. The system includes a 3D camera system that obtains images from a region of interest, in particular the paralumbar fossa. An image processor determines the surface curvature in the region of interest, as a function of time. Based on the frequency with which this function attains local maxima, a health indication for the animal is generated.

Abstract: A system and method for automatically monitoring a ruminant animal. The system includes a 3D camera system that obtains images from a region of interest, in particular the paralumbar fossa. An image processor determines the surface curvature in the region of interest, as a function of time. Based on the frequency with which this function attains local maxima, a health indication for the animal is generated.

Abstract: A system and method which functions to automatically monitor a ruminant animal. The system includes a 3D camera system that obtains images from a region of interest. An image processor determines the surface curvature in the region of interest, as a function of time. Based on the frequency with which this function attains local maxima, a health indication for the animal is generated.

Abstract: This application discloses an image retrieval method and apparatus, a system, a server, and a storage medium. The method includes: obtaining a first hash value of a to-be-retrieved reference image; splitting the first hash value into a preset quantity of first hash value segments, wherein a first hash value segment of the first hash value segments has a unique sequence position corresponding to a position of the first hash value segment in the first hash value; locating a target hash table according to the sequence position of the first hash value segment, wherein the target hash table is used for storing hash value segments that are at the sequence position of the first hash value segment in hash values of images; retrieving, from the hash value segments of the target hash table, a second hash value segment that is the same as the first hash value segment; and retrieving, from candidate images to which the second hash value segment belongs, a target image similar to the reference image.

Abstract: A similar picture identification method is described. According to the method, processing circuitry of a device obtains n first local regions of a first picture, the n first local regions being a first set of regions that is affine invariant, and obtains m second local regions of a second picture, the m second local regions being a second set of regions that is affine invariant. The processing circuitry obtains n first characteristic values respectively corresponding to the n first local regions, and obtains m second characteristic values respectively corresponding to the m second local regions. The processing circuitry further determines, according to a comparison result of the n first characteristic values and the m second characteristic values, whether the first picture is similar to the second picture, where n and m are positive integers.

Abstract: Systems, devices and methods for registering a player account using third party user information include scanning, by a scanning device, an encoded identifier associated with a first server and transmitting a request to access a player account of the player to the first server based on the encoded identifier. In response to an indication that the player account does not exist, the user device causes a second request message to be transmitted to a second server operated by a third party provider to access a user account associated with the player. The second server transfers user information associated with the user account to the first server. The user device next transmits an account registration message, which includes an instruction to create a new player account associated with the player, to the first server. Based on creation of the new player account, the user device accesses the player account.

Abstract: Systems, devices and methods for registering a player account using third party user information include scanning, by a scanning device, an encoded identifier associated with a first server and transmitting a request to access a player account of the player to the first server based on the encoded identifier. In response to an indication that the player account does not exist, the user device causes a second request message to be transmitted to a second server operated by a third party provider to access a user account associated with the player. The second server transfers user information associated with the user account to the first server. The user device next transmits an account registration message, which includes an instruction to create a new player account associated with the player, to the first server. Based on creation of the new player account, the user device accesses the player account.

Abstract: This application discloses an image retrieval method and apparatus, a system, a server, and a storage medium. The method includes: obtaining a first hash value of a to-be-retrieved reference image; splitting the first hash value into a preset quantity of first hash value segments, wherein a first hash value segment of the first hash value segments has a unique sequence position corresponding to a position of the first hash value segment in the first hash value; locating a target hash table according to the sequence position of the first hash value segment, wherein the target hash table is used for storing hash value segments that are at the sequence position of the first hash value segment in hash values of images; retrieving, from the hash value segments of the target hash table, a second hash value segment that is the same as the first hash value segment; and retrieving, from candidate images to which the second hash value segment belongs, a target image similar to the reference image.

Abstract: The invention relates to a method to automatically predict a calving moment of a cow, comprising: recording, by a three-dimensional camera system, at least one three-dimensional image of the cow, processing, by a processing device, the at least one image of the cow, wherein processing of the image comprises determining a parameter indicative of the calving moment, and predicting a calving moment of the cow on the basis of the parameter.

Abstract: A similar picture identification method is described. According to the method, processing circuitry of a device obtains n first local regions of a first picture, the n first local regions being a first set of regions that is affine invariant, and obtains m second local regions of a second picture, the m second local regions being a second set of regions that is affine invariant. The processing circuitry obtains n first characteristic values respectively corresponding to the n first local regions, and obtains m second characteristic values respectively corresponding to the m second local regions. The processing circuitry further determines, according to a comparison result of the n first characteristic values and the m second characteristic values, whether the first picture is similar to the second picture, where n and m are positive integers.

Abstract: A storage device and a photoresist coating and developing machine having a storage device are disclosed. The storage device includes a frame and a plurality of layers of support plates disposed in sequence in the frame in a height direction of the frame, being used for receiving substrates to be exposed. The frame is provided with a plurality of layers of support members respectively associated with the plurality of layers of support plates, and each layer of the support plates is slidably mounted on the support member.

Abstract: An image information recognition processing method, device and a computer storage medium are provided. A first reference image and an image to be detected are acquired. Nth interception or cutting processing on the image to be detected is performed in a specified direction to obtain an Nth sub-image according to a first preset rule. First attribute values and/or second attribute values of the first reference image and the Nth sub-image are acquired respectively, the first attribute values being configured to represent color distribution information of the images and the second attribute values being configured to represent fingerprint information of the images. When the first attribute value and/or second attribute value of the Nth sub-image and the corresponding attribute value(s) of the first reference image meet a predetermined condition, it is recognized that the image to be detected to which the Nth sub-image belongs is matched with the first reference image.

Abstract: Monitoring activity of an animal in a system for housing freely moving animals including a plurality of animal ID stations, includes the steps of a) recording a first visit of said animal at a first of said animal ID stations, b) recording a subsequent second visit of said animal at a second of said animal ID stations, and c) determining a distance covered by said animal as the distance between said first animal ID station at said first visit and said second animal ID station at said second visit. With such simple means, parts of which are already present in e.g. most robot dairy stables, important information about activity of animals can easily be gathered.

Abstract: A method to determine a body condition score of an animal including: providing a three-dimensional camera system configured and arranged to record at least one three-dimensional image of the animal, and an image processing device to process the image; recording at least one three-dimensional image of the animal; processing the image. The processing the image includes: forming a three-dimensional surface representation of a part of the animal from the three-dimensional image recorded by the three-dimensional camera system; determining, in the image, reference points of the animal, at least including hook bone points and pin bone points of the animal; selecting a surface part of the animal representative for a body condition of the animal using the reference points; analyzing a first parameter representative for a body condition of the animal of the selected surface part; and determining the body condition score based on the first parameter.

Abstract: The invention relates to a method to automatically predict a calving moment of a cow, comprising: recording, by a three-dimensional camera system, at least one three-dimensional image of the cow, processing, by a processing device, the at least one image of the cow, wherein processing of the image comprises determining a parameter indicative of the calving moment, and predicting a calving moment of the cow on the basis of the parameter.

Abstract: An image information recognition processing method, device and a computer storage medium are provided. A first reference image and an image to be detected are acquired. Nth interception or cutting processing on the image to be detected is performed in a specified direction to obtain an Nth sub-image according to a first preset rule. First attribute values and/or second attribute values of the first reference image and the Nth sub-image are acquired respectively, the first attribute values being configured to represent color distribution information of the images and the second attribute values being configured to represent fingerprint information of the images. When the first attribute value and/or second attribute value of the Nth sub-image and the corresponding attribute value(s) of the first reference image meet a predetermined condition, it is recognized that the image to be detected to which the Nth sub-image belongs is matched with the first reference image.

Abstract: A storage device and a photoresist coating and developing machine having a storage device are disclosed. The storage device includes a frame and a plurality of layers of support plates disposed in sequence in the frame in a height direction of the frame, being used for receiving substrates to be exposed. The frame is provided with a plurality of layers of support members respectively associated with the plurality of layers of support plates, and each layer of the support plates is slidably mounted on the support member.