A system and a method for managing inventory are provided. The system may include: a plurality of weighing devices, at least a memory, and at least a processor. The weighing devices are configured to weight at least an object. The processor is configured to receive data from at least one weighing device relating to the at least one object weighed by the respective weighing device, and to store the received data in the memory. The processor is further configured to determine at least a matching of data received from a first weighing device with data received from a second weighing device.

A system and a method for managing inventory are provided. The system may include: a plurality of weighing devices, at least a memory, and at least a processor. The weighing devices are configured to weight at least an object. The processor is configured to receive data from at least one weighing device relating to the at least one object weighed by the respective weighing device, and to store the received data in the memory. The processor is further configured to determine at least a matching of data received from a first weighing device with data received from a second weighing device.

The invention relates to a device for determining particle size distribution in a bulk material, such as milled or grinded grain for animal feed. The device comprises an inlet for receiving at least a portion of the bulk material, a sorting mechanism for sorting the received bulk material. Said sorting mechanism comprises at least a first sorting device for sorting said received bulk material into at least two sorted partitions wherein the sorting device are capable of sorting different particle sizes and said at least two sorted partitions have different particle sizes. The invention further comprises a motor or actuator for vibrating said sorting device, a weighing system with at least one sensor for weighing the at least two sorted partitions sorted by said sorting mechanism and a data output for generating output data indicative of a weight of the at least two sorted partitions, so as to allow calculation of the particle size distribution in the bulk material received in the inlet and thus provide information regarding the particle size composition of the milled or grinded grain.

The invention relates to a device for determining particle size distribution in a bulk material, such as milled or grinded grain for animal feed. The device comprises an inlet for receiving at least a portion of the bulk material, a sorting mechanism for sorting the received bulk material. Said sorting mechanism comprises at least a first sorting device for sorting said received bulk material into at least two sorted partitions wherein the sorting device are capable of sorting different particle sizes and said at least two sorted partitions have different particle sizes. The invention further comprises a motor or actuator for vibrating said sorting device, a weighing system with at least one sensor for weighing the at least two sorted partitions sorted by said sorting mechanism and a data output for generating output data indicative of a weight of the at least two sorted partitions, so as to allow calculation of the particle size distribution in the bulk material received in the inlet and thus provide information regarding the particle size composition of the milled or grinded grain.

A system, method, and apparatus for automated object recognition and checkout at a retail kiosk is provided. The system includes a controller configured with a processor and a memory to control operations of the automated retail checkout system. The system further includes an imaging device in communication with the controller and configured to create multiple electronic images of an object, such as a product for purchase. The system also includes an object recognition device in communication with the controller and the imaging device. The processor may execute software to receive electronic images from the imaging device, extract at least one feature from the images, and recognize the object based on a predetermined model being applied to the extracted feature from the images. The system also includes a display device to display an indication of the recognized object from the object recognition device.

A system, method, and apparatus for automated object recognition and checkout at a retail kiosk is provided. The system includes a controller configured with a processor and a memory to control operations of the automated retail checkout system. The system further includes an imaging device in communication with the controller and configured to create multiple electronic images of an object, such as a product for purchase. The system also includes an object recognition device in communication with the controller and the imaging device. The processor may execute software to receive electronic images from the imaging device, extract at least one feature from the images, and recognize the object based on a predetermined model being applied to the extracted feature from the images. The system also includes a display device to display an indication of the recognized object from the object recognition device.

A smart reader system for a scale having a display is disclosed. The smart reader system includes an image capture device for capturing an image of the display; and an attachment device for mounting on the scale, the attachment device configured to receive the image capture device; and a computing device configured to identify, using a machine learning model, a weight from the image of the display.

According to an aspect, there is provided a food serving system that is able to link weighed food amounts to a single user regardless of the fact whether the user is separately identified or not. According to another aspect, there is provided a method comprising receiving weighing results associated with an identifier from at least one control unit associated with a plurality of food collecting points; and generating a total result associated with the identifier based on the weighing results associated with the identifier.

A system for controlling a culinary instrument includes a component data structure storing, for at least some culinary components, a culinary attribute. A menu data structure stores, for each of multiple items, a set of constituent components. An order interface module receives an item selection by a user and a set of adjustments to the selected item. Each element of the set describes an amount modification of a corresponding culinary component. An order feedback module uses a first set of rules to assess the set of adjustments based on the corresponding culinary attributes. In response to the assessment, the order feedback module selectively provides feedback to the user regarding limitations on the set of adjustments. A control transformation module uses a second set of rules to transform the adjusted selected item into a set of instrument control instructions for control of the culinary instrument, which autonomously performs the instructions.

A system for controlling a culinary instrument includes a component data structure storing, for at least some culinary components, a culinary attribute. A menu data structure stores, for each of multiple items, a set of constituent components. An order interface module receives an item selection by a user and a set of adjustments to the selected item. Each element of the set describes an amount modification of a corresponding culinary component. An order feedback module uses a first set of rules to assess the set of adjustments based on the corresponding culinary attributes. In response to the assessment, the order feedback module selectively provides feedback to the user regarding limitations on the set of adjustments. A control transformation module uses a second set of rules to transform the adjusted selected item into a set of instrument control instructions for control of the culinary instrument, which autonomously performs the instructions.