Fanuc Corporation

Fumikazu Warashina

Shouta Takizawa

Junichirou Yoshida

Kazunori Ban

Atsushi Watanabe

Yuuta Namiki

Yuta Namiki

Fumikazu Terawaki

Yuutarou Takahashi

Keisuke Watanabe

Kyouhei Kokubo

Makoto Yamada

Yuusuke Oota

Masafumi Ooba

Akihiro Terada

Hiromitsu Takahashi

Ichiro Kanno

Tetsuya Kosaka

Mitsuhiro Okuda

Katsutoshi Takizawa

Taro Arimatsu

Shoutarou Ogura

Kenshirou Oono

Wanfeng Fu

A three-dimensional measurement device includes a projector for scanning and projecting reference light onto an object, and a light receiver for receiving the reflected reference light by the object. The light receiver monitors a luminance change for each pixel and outputs an event when the luminance change meets or exceeds a preset threshold. Each event includes the pixel's position, the time of the luminance change, and a polarity indicating the direction of the luminance change. The device also includes a calculator that selects a group of events where polarity transitions from positive to negative, calculates a passage time of the reference light through each pixel based on the event's time and threshold luminance value, and calculates the object's three-dimensional information using triangulation from the passage times.

Three-dimensional-measurement device and three-dimensional-measurement method

A model pattern evaluation device for a robotic system comprises a processor. The processor is configured to: receive an image in which a target object is represented captured by a camera attached to a movable robotic component of the robotic system; calculate, for detecting the target object from the image, an evaluation value representing a geometric distribution of a plurality of features in a model pattern, the model pattern corresponding to the target object; set, among the plurality of features, a first feature for detecting a position in a specific direction of the target object in the image or a second feature for detecting an angle in a rotational direction centered about a predetermined point of the target object in the image as a feature of interest based on the evaluation value; and generate a detection result based on the first or second features to control the movable robotic component.

Object detection device and model pattern evaluation device

An interference avoidance device is provided with: a three-dimensional sensor that is attached to a tip portion of a robot arm and acquires a distance image of an area around a robot; a position data creating portion that converts coordinates of a nearby object in the distance image to coordinates on a robot coordinate system and creates the position data of the nearby object based on the coordinates of the nearby object on the robot coordinate system; a storage portion that stores the position data; and a control portion that controls the robot based on the robot coordinate system; and the control portion controls the robot to avoid interference of the robot with the nearby object, based on the position data stored in the storage portion.

Interference avoidance device and robot system

An image processing apparatus includes a graphical image generator that generates a first graphical image and a second graphical image, and a mode switching unit that switches between a first display mode and a second display mode so that a display displays the first graphical image or the second graphical image. Each graphical image includes a color wheel indicating a two-dimensional color space of hue and saturation and a lightness bar indicating a one-dimensional color space of lightness. In the first graphical image, each position in the color wheel and the lightness bar is indicated by the hue and saturation indicated by that position. In the second graphical image, a distribution of colors included in the color image in the color space of hue and saturation or the color space of lightness is superposed on the color wheel and the lightness bar.

Image processing apparatus

An image processing apparatus, which receives an input image and detects an image of a target object based on a detection algorithm, includes a machine learning device which performs learning by using a plurality of partial images cut out from at least one input image, based on a result of detection of the image of the target object, and calculates a likelihood of the image of the target object.

Apparatus and method for image processing to calculate likelihood of image of target object detected from input image

A robot system includes a target position calculation section which calculates, when a first feature can be detected from an image, a target position of a robot based on the calculated position of the first feature and a stored first positional relationship, and calculates, when the first feature cannot be detected from the image and a second feature can be detected from the image, a target position of the robot based on the calculated position of the second feature and the stored first positional relationship.

Robot system for correcting teaching of robot using image processing

An image management device includes: an image data acquisition unit that acquires image data snapped by a visual sensor; an image snap condition acquisition unit that acquires an image snap condition applied when the image data is snapped, from a manufacturing machine and the visual sensor; an archive data creation unit that creates archive data based on the image data and the image snap condition; and an archive data storage unit that stores the archive data. The archive data creation unit creates archive data after recording the image snap condition in a file. The image management device can easily reuse image data that is snapped by the visual sensor attached to the manufacturing machine and an image snap condition of the image data.

Image management device

A machine learning device includes a state observation unit for observing, as state variables, an image of a workpiece captured by a vision sensor, and a movement amount of an arm end portion from an arbitrary position, the movement amount being calculated so as to bring the image close to a target image; a determination data retrieval unit for retrieving the target image as determination data; and a learning unit for learning the movement amount to move the arm end portion or the workpiece from the arbitrary position to a target position. The target position is a position in which the vision sensor and the workpiece have a predetermined relative positional relationship. The target image is an image of the workpiece captured by the vision sensor when the arm end portion or the workpiece is disposed in the target position.

Machine learning device, robot control device and robot vision system using machine learning device, and machine learning method

An image processing device that detects an image of an object from input data captured by a vision sensor, on the basis of a model pattern including a set of a plurality of first feature points representing the shape of the object, includes an object detection unit that detects images of the object by matching between a plurality of second feature points extracted from the input data and a plurality of first feature points forming the model pattern, a corresponding point selection unit that selects, for each image of the object, second feature points corresponding to the first feature points and stores the selected second feature points as corresponding points, and a model pattern correction unit that calculates a statistic of a predetermined physical quantity of the plurality of corresponding points associated with each first feature point and corrects the first feature point on the basis of the statistic.

Image processing device and method for detecting image of object to be detected from input data

An image processing device including an object detection unit for detecting one or more images of objects from an input picture image, on the basis of a model pattern of the object, and a detection result display unit for graphically superimposing and displaying a detection result. The detection result display unit includes a first frame for displaying the entire input picture image and a second frame for listing and displaying one or more partial picture images each including an image detected. In the input picture image displayed in the first frame, a detection result is superimposed and displayed on all the detected images, and in the partial picture image displayed in the second frame, a detection result of an image corresponding to each partial picture image is superimposed and displayed.

Image processing device for displaying object detected from input picture image

An inspection system includes a first imaging device provided in a first inspection device; a second imaging device provided in a second inspection device; a first controller; and a second controller, wherein the first controller acquires a particular feature of a calibration jig, which is positioned in the first inspection device, from an image of the calibration jig obtained by the first imaging device as first feature data, and the second controller acquires the particular feature of the calibration jig, which is positioned in the second inspection device, from an image of the calibration jig obtained by the second imaging device as second feature data. The correction amount needed for correcting the image obtained by the second imaging device so that the second feature data matches the first feature data is acquired, and the second inspection device corrects an image of an inspection subject using this correction amount.

Inspection system and method for correcting image for inspection

A device capable of easily defining an area other than a surface to be inspected of a workpiece. The device includes a drawing acquisition section for acquiring drawing data of the workpiece; a designation reception section for receiving specification of the surface to be inspected of the workpiece in the drawing data; and a non-inspection area calculation section for calculating, as a non-inspection area, an image area other than the surface to be inspected in an image in a view of the imaging section when the workpiece and the imaging section are positioned at an imaging position at which at least a part of the surface to be inspected as specified falls within the view of the imaging section.

Device and method for calculating area to be out of inspection target of inspection system

An apparatus capable of quickly constructing an operation program that causes an inspection system to carry out an operation for imaging the surface to be inspected. This apparatus includes a drawing acquisition section configured to acquire drawing data of the workpiece, a designation receiving section configured to accept designation of the surface to be inspected in the drawing data, a target position acquisition section configured to acquire, as a target position, a position of the movement mechanism when the workpiece and the imaging section are positioned such that the surface to be inspected is within a field of view of the imaging section, and a program generation section configured to generate an operation program for controlling a movement operation of the movement mechanism and an imaging operation of the imaging section on the basis of the target position.

Apparatus and method for generating operation program of inspection system

For calibration on a single camera or a stereo camera, a calibration range is set in advance in an image coordinate system and the calibration is performed in an arbitrary range. A visual sensor controller is a calibration device that associates a robot coordinate system at a robot and an image coordinate system at a camera by placing a target mark at the robot, moving the robot, and detecting the target mark at multiple points in a view of the camera. The calibration device comprises: an image range setting unit that sets an image range in the image coordinate system at the camera; and a calibration range measurement unit that measures an operation range for the robot corresponding to the image range before implementation of calibration by moving the robot and detecting the target mark.

Calibration device, calibration method, and computer readable medium for visual sensor

An object inspection system enabling a quick and easy registering of a master image and an inspection image when there is a displacement between the master image and the inspection image. The object inspection system includes an imaging section, a movement machine configured to move a first object or a second object and an imaging section relative to each other, a positional data acquisition section configured to acquire positional data of the movement machine when the movement machine disposes the first object or the second object and the imaging section at a relative position, an image data acquisition section configured to acquire a first image of the first object and a second image of the second object, and an image registering section configured to register the first image and the second image.

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Yamanashi, Japan

Fumikazu Warashina