A power tool accident prevention system receiving images from a static camera of a setup of a power tool, the system comprising: a processor; and a memory, the memory storing instructions to cause the processor to: analyze the images to identify inherent dangers in the setup of the power tool; identify at least one potential cause of an accident based on the identified inherent dangers; and activate an emergency safety measure of the power tool to avoid the at least one potential cause of the accident.

An example method includes receiving position data indicative of position of a demonstration tool. Based on the received position data, the method further includes determining a motion path of the demonstration tool, wherein the motion path comprises a sequence of positions of the demonstration tool. The method additionally includes determining a replication control path for a robotic device, where the replication control path includes one or more robot movements that cause the robotic device to move a robot tool through a motion path that corresponds to the motion path of the demonstration tool. The method also includes providing for display of a visual simulation of the one or more robot movements within the replication control path.

A power tool accident prevention method, system, and non-transitory computer readable medium receiving images from a static camera of a setup or operation of a power tool, include a danger identification circuit configured to: analyze the images to identify inherent dangers in the setup or the operation of the power tool, and identify at least one potential cause of an accident based on the identified inherent dangers, and a power tool disabling circuit configured to activate an emergency safety measure of the power tool to avoid the at least one potential cause of the accident.

To provide a robot system capable of ensuring safety while giving consideration to the occurrence of a trouble in image capture means. A robot system with a camera for monitoring a robot comprises: current position model generation means that generates a current position model for the robot based on current position data about the robot and robot model data about the robot; simulation image generation means that generates a simulation image of the robot viewed from the direction of the camera based on set position data about the camera, set position data about the robot, and the current position model; detection means that compares the simulation image and a monitoring image acquired from the camera to detect the robot in the monitoring image; and safety ensuring means that ensures the safety of the robot system if the detection means does not detect the robot in the monitoring image.

An example method includes receiving position data indicative of position of a demonstration tool. Based on the received position data, the method further includes determining a motion path of the demonstration tool, wherein the motion path comprises a sequence of positions of the demonstration tool. The method additionally includes determining a replication control path for a robotic device, where the replication control path includes one or more robot movements that cause the robotic device to move a robot tool through a motion path that corresponds to the motion path of the demonstration tool. The method also includes providing for display of a visual simulation of the one or more robot movements within the replication control path.

The disclosure relates to a coating method including the specification of at least one coating path for moving a paint impact point along at least one coating path over the surface, the at least one coating path running through a surface region of the component to be coated which is bounded by edges. The disclosure also includes, presetting reference values of the spatial edge point positions and/or of the edge point orientations of the surface region, spatial measurement of position, orientation and/or shape of the component to be coated or of a part of the component to be coated with a measuring system, where, in the course of the spatial measurement, measured values of the edge point positions and/or of the edge point orientations of the edge points on the edges of the surface region are measured. Lastly, the disclosure includes determining the deviation between the measured values of the edge point positions and/or the edge point orientations and the reference values of the edge point positions and/or the edge point orientations, and adapting the coating path as a function of the deviation between the reference values of the edge point positions and the measured values of the edge point orientations.

Methods, systems, and apparatuses are provided for operating a press in which circuit boards are reshaped. The circuit boards each have a unique serial number. An electronic computing device stores measured values characterizing the associated circuit board for the respective serial number. A capture device in a feed area in which the circuit boards are fed into the press is used to produce images of the serial number. A recognition unit is used to recognize the serial numbers in the images. A recognition rate is determined.

A calibration method applicable for an automation machining apparatus includes building a first stereoscopic characteristic model corresponding to an object, obtaining a stereoscopic image of the object, building a second stereoscopic characteristic model corresponding to the object based on the stereoscopic image, obtaining at least one error parameter corresponding to the second stereoscopic characteristic model by comparing the second stereoscopic characteristic model with the first stereoscopic characteristic model, and calibrating a machining parameter of the automation machining apparatus based on the at least one error parameter.

Provided is a production line that includes a conveying section (2) for conveying a plurality of pallets (8 and 8) along a loop-shaped circulation route, a workpiece setting section (3) for setting workpieces on the pallets (8 and 8), a setting-position measuring section (4) for measuring setting position of the workpiece on the pallets (8 and 8), a production process performing section (5) for performing one or multiple production processes at each of a plurality of locations on the circulation route for the workpieces on the pallets (8 and 8), and a workpiece extracting section (6) for extracting workpieces for which the production processes have been performed from the pallets (8 and 8). At least two of the production processes in the production process performing section (5) are performed while taking into account the setting positions of the workpieces on the pallets (8) measured by the setting-position measuring section (4).

Automated assembly systems and methods are configured to automatically insert components into grommets. The systems include a component insertion sub-system configured to insert first components into first cavities of a first grommet, an imaging sub-system configured to acquire images of the first grommet, and a grommet shift determination sub-system in communication with the component insertion sub-system and the imaging sub-system. The grommet shift determination sub-system is configured to compare at least two images of the first grommet acquired by the imaging sub-system to determine distance changes between the first cavities in response to one or more of the first components being inserted into one or more of the first cavities, and generate an insertion map that accounts for the distance changes.