A tape erroneous mounting detection system includes sensors provided to the plurality of tape feeders, a reader configured to read identification information from a recording part which is provided to a reel, and a memory part configured to store part verification information. The tape erroneous mounting detection system also includes a part verification part configured to determine whether or not the tape is mounted on the tape feeder at the set position, and to perform verification updating processing, and a tape erroneous mounting detection part configured to perform erroneous mounting detection processing where the tape erroneous mounting detection part identifies the tape feeder on which the tape is mounted based on the tape presence or absence information and the output from the sensor, and the tape erroneous mounting detection part detects that the tape mounted on the tape feeder is erroneously mounted.

A computing system including a processing circuit in communication with a camera having a field of view, The processing circuit obtains image information based on the objects in the field of view and defines a minimum viable region for a target open corner. Potential minimum viable regions are defined by identifying candidate edges of an object and determining potential intersection points based on the candidate edges. The minimum viable region may then be identified and validated from the potential minimum viable regions.

Disclosed are a method and system for assembling a vehicle component, the system including an image capturing unit configured to capture an image of a mounted vehicle component and an image of an assembly point on a vehicle to which the vehicle component is assembled, an assembly robot configured to load the mounted vehicle component, move the loaded vehicle component to the assembly point on the vehicle, and assemble the vehicle component to the assembly point, and a control unit configured to analyze the image of the vehicle component captured by the image capturing unit, control the assembly robot to allow the assembly robot to load the mounted vehicle component at the same point, analyze the image of the assembly point on the vehicle, and control the assembly robot to allow the assembly robot to assemble the vehicle component accurately to the assembly point of the vehicle.

A detection unit of a control device detects a state of hardness of a target work surface from a captured image, which includes the target work surface, by using data acquired by machine-learning a relationship between the captured image and the state of hardness of the target work surface. The target work surface is a surface upon which the to-be-operated device applies force. A plurality of control modes are set, in accordance with differences in the state of hardness of the target work surface, as control modes for controlling the action of the to-be-operated device in response to a command output from the operation equipment. On the basis of the command and the state of hardness of the target work surface as detected by the detection unit, a selection unit selects a control mode to execute.

For the automated loading of a load by a crane system, a camera system of the crane system generates at least one image data stream. The at least one image data stream is analyzed by a computer unit with the assistance of an artificial neural network. On the basis of the analysis, a first marker and a second marker are recognized by the computer unit in respective single images of the at least one image data stream. Positions of the markers are determined, and the load is loaded automatically by a lifting device of the crane system dependent upon the positions of the markers.

A portable device repair machine may be configured to receive portable devices, identify the portable device, diagnose, repair and/or upgrade the portable device, collect payment for the service and return the portable device to the payee. The portable device repair machine may include an audio/video interface for interaction with a portable device user as well as a mechanized connection, inspection, diagnostic and upgrade system. The mechanized connection, inspection, diagnostic and upgrade system may comprise a conveyance mechanism for conveying the portable device among multiple stations such as a physical inspection station, device connection mechanism station, diagnostic, repair and upgrade station, and a physical upgrade station. Various mechanical devices, such as robotic arms may interact with the portable device, based in part on feedback obtained via various image sensors within the portable device repair machine.

A coordinate measuring machine (CMM) system is provided including utilization of a vision probe (e.g., for performing operations for determining and/or measuring surface profiles of workpieces, etc.) The angular orientation of the vision probe may be adjusted using a rotation mechanism so that the optical axis of the vision probe is directed toward an angled surface of a workpiece (e.g., in some implementations the optical axis may be approximately perpendicular to the angled workpiece surface). X-axis, y-axis and z-axis slide mechanisms (e.g., moving in mutually orthogonal directions) may in conjunction move the vision probe to acquisition positions along an image stack acquisition axis (which may approximately coincide with the optical axis) for acquiring a stack of images of the angled workpiece surface. Focus curve data may be determined from analysis of the image stack, which indicates 3-dimensional positions of surface points on the angled surface of the workpiece.

A plasma discharge detection system detects undesirable plasma discharge events within a semiconductor process chamber. The plasma discharge detection system includes one or more cameras positioned around the semiconductor process chamber. The cameras capture images from within the semiconductor process chamber. The plasma discharge detection system includes a control system that receives the images from the cameras. The control system analyzes the images and detects plasma discharge within the semiconductor process chamber based on the images. The control system can adjust a semiconductor process in real time responsive to detecting the plasma discharge.

There is provided a medical observation apparatus including: a determination unit which determines an apparatus to be used based on a captured image for medical use captured by an imaging device; and a display control unit which causes a related image for medical use corresponding to the determined apparatus and the captured image for medical use to be displayed.

Robotic visualization systems and methods include running and analyzing perception algorithms and models for robotic visualization systems on multiple computing platforms to obtain a successful complete an object processing request.