Fowl positioning system, comprising a dosing belt, arranged to receive randomly oriented slaughtered fowl and dose them one by one on a conveyor belt linked to a computer vision system, the belt being arranged to sequentially position the fowl under the computer vision system in order to determine the placement in which each fowl is found on said conveyor belt, and a robotic arm with a gripper on the end, arranged to sequentially grasp each fowl from the conveyor belt and thread them one by one in a predefined position on one of the supports located in a fowl processing line, the robotic arm being linked to the computer vision system such that it determines the position for the gripper to clamp and release the fowl.

An apparatus, designed and configured for optically inspecting articles of the fish and meat processing industry, includes at least one imaging system which is arranged so as to be encapsulated on all sides in a housing and is configured for optically scanning the articles. The housing has a transparent viewing window and a protective element, forming a light-transmissive channel, and is releasably arranged on the outside of the housing to protect the viewing window from contamination. In addition, an arrangement for processing and inspecting the opened abdominal cavity of gutted fish, includes a conveying device configured for conveying the fish along a processing line in the longitudinal direction, which is characterised in that the arrangement comprises at least one apparatus configured for optically inspecting the abdominal cavity.

A method carried out by a computing device may include: receiving a plurality of models each associated with a type of sub-primal cut, including a reference shape(s) for detection of a corresponding match characteristic by a corresponding scan type, and including a plurality of attribute characteristic value ranges; receiving a registered scan of a sub-primal cut including scans showing corresponding match characteristics; identifying attribute characteristics for the sub-primal cut using the registered scan; concurrently aligning reference shape(s) of each model to corresponding match characteristics and calculating a shape match values based on the alignment; determining a best model match for the registered scan using a plurality of attribute match values calculate based on the identified attribute characteristics compared to the attribute characteristic value ranges and the plurality of shape match values; and assigning a type of sub-primal cut to the sub-primal cut based on the best model match.

An apparatus for detecting surface characteristics on food objects conveyed by a conveyor has a first imaging device for capturing two-dimensional image data (2D) and a second imaging device for capturing three-dimensional image data (3D) of a food object. A image processing unit is configured to utilize either the 2D or 3D image data in determining whether a potential defect is present on the surface of the food object. The image processing unit determines a surface position of a potential defect, and utilizes the 2D or 3D image data in determining whether an actual defect is present on the surface of the food object at the indicated surface position. The apparatus has an output unit for outputting defect related data in case both of the 2D and the 3D image data indicate that an actual defect is present on the surface of the food object at the indicated surface position.

The present invention provides a new method and apparatus for performing water jet cutting of food items on conveyor belts. The invention provides a cutting unit with a novel design and a method for the use of plurality of cutting devices for cutting, trimming and removing undesired tissue from food items in a more accurate but faster way than prior art methods.

A carcass cutting system including a belt positioned below a conveyor such as to stabilise a carcass during imaging and/or cutting operations. An offset section of conveyor track in the region of the belt may be utilized to urge the carcass against the belt. Imagining may use an optical imaging system, an X-ray imaging system, a laser scanning camera, a time of flight camera or a Dual-energy X-ray absorptiometry system. Imaging information may be used to calculate cutting paths and/or weight distribution of carcass portions. Cutting may be performed by a robotic cutter using a circular saw or a circular knife.

A method and system are provided for automatically portioning workpieces, such as food products, by simulating portioning the workpieces in accordance with the one or more desired shapes of the final piece(s) as a directly controlled physical characteristic (parameter/specification) as well as one or more resulting indirectly controlled physical characteristics (parameters/specifications). The desired shape(s) of the final piece(s) are defined by a plurality of manipulatable reference coordinates. A workpiece is scanned to obtain scanning information, then portioning of the workpiece is simulated in accordance with the desired shape(s) of the final piece(s) defined by the directly controlled reference coordinates, thereby to determine the one or more indirectly controlled physical characteristics of the one or more final pieces to be portioned from the workpiece. The simulated portioning of the workpiece is performed for multiple combinations of directly controlled shapes as defined by the modified or edited reference coordinates and indirectly controlled physical characteristics until an acceptable set of a directly controlled shape and resulting one or more indirectly controlled physical characteristics is determined.

A method of estimating weight of food objects, includes training an artificial neural network software module, and using the trained artificial neural network software module to provide a weight correlated data estimate for said food object based on a three-dimensional image of the food object.

Fowl positioning system, comprising a dosing belt, arranged to receive randomly oriented slaughtered fowl and dose them one by one on a conveyor belt linked to a computer vision system, the belt being arranged to sequentially position the fowl under the computer vision system in order to determine the placement in which each fowl is found on said conveyor belt, and a robotic arm with a gripper on the end, arranged to sequentially grasp each fowl from the conveyor belt and thread them one by one in a predefined position on one of the supports located in a fowl processing line, the robotic arm being linked to the computer vision system such that it determines the position for the gripper to clamp and release the fowl.

A method of creating batches for food items conveyed by a conveyor means, comprises measuring an image profile for a food item, processing the measured image profile for the food item, cutting the food item into a plurality of portions based on the processed measured image profile, and distinguishing the portions within the partial batch from the remaining portions. The number of portions from one or more of subsequent food items needed to complete the partial batch is such that it fulfills the pre-defined batch-criteria taken from the same or similar area of the food items from where the partial batch originates.