A workpiece collecting point unit for a machine tool, in particular for a flatbed machine tool, such as a laser cutting or punching flatbed machine tool, has a placing area for workpieces produced by the machine tool within the framework of a processing plan, a display unit adapted to display information about the workpieces, which are to be further processed and were placed on the placing area, to an operator, and a signal device adapted to output an identification signal indicating to an operator the location of the selected workpiece collecting point unit for placing the workpiece, which is to be further processed, on the placing area. The workpiece collecting point unit can be used inter alia in a process to support a sequence of processing steps for processing workpieces.

A management device includes: a storage unit; a first receiving unit; a communication unit; and a management control unit configured to perform setting control for transmitting a control parameter and device identification information corresponding to the reservation number to each article processing device, which is identified based on the device identification information via the communication unit, when a reservation number is received by the first receiving unit, and to perform storage control for storing adjustment information of a changed control parameter in the storage unit in association with the device identification information and the reservation number when the control parameter transmitted to each of the article processing devices is changed in each of the article processing devices.

An object induction system is disclosed for assigning handling parameters to an object. The system includes an analysis system, an association system, and an assignment system. The analysis system includes at least one characteristic perception system for providing perception data regarding an object to be processed. The association system includes an object information database and assigns association data to the object responsive to commonality with of any of the characteristic perception data with any of the characteristic recorded data. The assignment system is for assigning programmable motion device handling parameters to the indicia perception data based on the association data, and includes a workflow management system as well as a separate operational controller.

An inspection-plan based inspection method includes receiving data characterizing an inspection plan associated with inspection of one or more nodes in an inspection site by an inspection device. A first step of the inspection plan includes a first set of operating parameters of the inspection device associated with the inspection of a first node of the one or more nodes and a first set of constraints associated with one or more inspection criteria at the first node by the inspection device. The method also includes generating a first control signal configured to instruct the inspection device to inspect the first node of the one or more nodes. The first control signal is based on one or more of the first set of operating parameters and a user input. The method further includes receiving data characterizing the inspection measurement of the first node by the inspection device.

A container production management system including: an adding device (1) which adds object identification code (D) indicating an object identifier (ID); a processing process reader (2a,2b) which reads the object identifier indicated by the object identification code (D) added to the objects to be processed; an inspection process reader (3) which reads the object code (D) added to the object to be inspected in an inspection process; and a computing unit (4) which creates a database (5) in which the object identifier (ID), information on at least one processing process, and inspection results in the inspection process are linked with each other, wherein the adding device (1) adds the object identification code (D) to the material member for each container, or to a portion to be the material member among raw materials (S) before the individual material member is separated therefrom.

According to one embodiment, an estimation device acquires a data set from history data. The history data includes a plurality of data IDs, path information, first and second qualitative variables. The data IDs respectively indicate a plurality of data flowing through a plurality of nodes. The path information indicates a path of the nodes for each of the data. The first and second qualitative variables are mutually-independent and indicate classifications of each of the data IDs. The data set includes a part of the data IDs having a first variable value assigned as the first qualitative variable. The estimation device estimates an overall relevance indicating a relevancy to the data set for each of the nodes. The estimation device generates a plurality of partial data sets. The estimation device estimates a partial relevance indicating a relevancy to each of the partial data sets for each of the nodes.

Described herein are systems and methods for improving defect detection in an automated production process. The system comprises a memory that stores executable components and a processor, operatively coupled to the memory, that executes the executable components. The executable components comprise an automation defect component and a machine learning component. The automation defect component retrieves parametric data associated with the production process. The automation defect component provides the parametric data to a machine learning algorithm. The machine learning component generates common attributes between the defective items. The machine learning component identifies a set of common attributes shared between the defective items and a non-defective item. The machine learning component modifies the set of the common attributes shared between the defective items and the non-defective item. The machine learning component generates defect indicators based on the common attributes. The automation defect component monitors subsequent parametric data to recognize the defect indicators.

A method for manufacturing control of machining of workpieces in a manufacturing hall that includes providing a plurality of image acquisition devices configured to acquire image sequences of allocated observation areas, identifying an object to be tracked in a first image of a first image sequence using at least one object feature, determining positions of the object feature in images of subsequent image sequences, determining a current position of the object by localizing the object feature in a temporally current image of one of the image sequences, and assigning the position of the object feature in the temporally current image to a current position in the observation area of the image sequence that includes the temporally current image, and integrating the determined current position of the object into the manufacturing control of the hall.

A method and computing system for performing the method are presented. The method may include receiving image information representing an object; identifying a set of one or more matching object recognition templates associated with a set of one or more detection hypotheses. The method may further include selecting a primary detection hypothesis associated with a matching object recognition template; generating a primary candidate region based on the matching object recognition template; determining at least one of: (i) whether the set of one or more matching object recognition templates has a subset of one or more remaining matching templates, or (ii) whether the image information has a portion representing an unmatched region; and generating a safety volume list based on at least one of: (i) the unmatched region, or (ii) one or more additional candidate regions that are generated based on the subset of one or more remaining matching templates.

A system for determining the location of a toolpiece, the system comprising: a tool carrying a toolpiece and comprising an imaging device for capturing images of the environment around the tool, the tool being actuable to manipulate the toolpiece to work on a workpiece; and an image processor remote from the tool and communicatively coupled to the imaging device for receiving images therefrom and having access to reference data representing an expected environment, the image processor being configured to compare an image captured by the imaging device with the reference data to identify a match therebetween and to determine in dependence on characteristics of that match the location of the toolpiece; wherein the system is configured to cause the tool to transmit images captured by the imaging device to the image processor in response to actuation of the tool.