Abstract: A system for generating a depth map for an object in a three-dimensional (3D) scene includes an image capture sensor and a processor. The image capture sensor is configured to capture a plurality of images of the object at a plurality of different focal planes. The processor is configured to calculate a plurality of variance values for a plurality of image locations for each image captured by the image capture sensor. The processor is also configured to determine a peak variance value for the plurality of image locations based on the calculated variance values associated with the same image location for each of the plurality of images of the object at the plurality of different focal planes. The processor is also configured to generate the depth map for the object based on the determined peak variance value for each image location and the plurality of different focal planes.

Abstract: An automated guidance system for a coordinated movement machine includes a camera and a processor. The camera is mounted to a movable component of the coordinated movement machine. The processor is configured to visually recognize individual workpieces among a plurality of similarly shaped workpieces using a program running on the processor. The processor is further configured to determine x, y and z and Rx, Ry and Rz of the movable component with respect to each recognized workpiece among the plurality of recognized workpieces, and to move the movable component of the coordinated movement machine after determining x, y and z and Rx, Ry and Rz of the movable component.

Abstract: A measurement system includes a cylindrical mirror, a light source, a photosensitive array, and a processor. The light source is configured and positioned with respect to the cylindrical mirror such that light from the light source is reflected from the cylindrical mirror as a circular arc on an object surface. The photosensitive array is positioned with respect to the cylindrical mirror to detect the circular arc on the object surface. The processor is in communication with the photosensitive array and is configured to detect a break in the circular arc and to measure a substance applied to the object surface based on an image detected by the photosensitive array.

Abstract: An industrial robot system includes an end effector connectable to a robot arm, a drive assembly, and a controller. The end effector includes a distal housing, a spindle assembly rotatable about a rotational axis, a drill bit rotatable about the rotational axis, and a sensor assembly. The sensor assembly includes a first light source, a second light source, and a photosensitive array. The first light source produces a first fan of light which is projected as a first line of light on the object surface. The second light source produces a second fan of light, which is projected as a second line of light on the object surface. The photosensitive array detects a first reflection line corresponding to the first line of light and a second reflection line corresponding to the second line of light.

Abstract: A system for generating a depth map for an object in a three-dimensional (3D) scene includes an image capture sensor and a processor. The image capture sensor is configured to capture a plurality of images of the object at a plurality of different focal planes. The processor is configured to calculate a plurality of variance values for a plurality of image locations for each image captured by the image capture sensor. The processor is also configured to determine a peak variance value for the plurality of image locations based on the calculated variance values associated with the same image location for each of the plurality of images of the object at the plurality of different focal planes. The processor is also configured to generate the depth map for the object based on the determined peak variance value for each image location and the plurality of different focal planes.

Abstract: An automated guidance system for a coordinated movement machine includes a camera and a processor. The camera is mounted to a movable component of the coordinated movement machine. The processor is configured to visually recognize individual workpieces among a plurality of similarly shaped workpieces using a program running on the processor. The processor is further configured to determine x, y and z and Rx, Ry and Rz of the movable component with respect to each recognized workpiece among the plurality of recognized workpieces, and to move the movable component of the coordinated movement machine after determining x, y and z and Rx, Ry and Rz of the movable component.

Abstract: A system for measuring wheel alignment includes at least one camera and at least one processor in communication with the camera. The camera captures an image of a test wheel. The processor processes the captured image to measure the wheel alignment.

Abstract: A method for visual recognition of an object in an electronic image includes extracting unique points of an object to be learned and/or a target object. The unique points are obtained by cross-correlating the image with a structure. Generally, the structure and/or the size of the structure may vary to detect extremum information associated with the learned object and/or target object. An icon corresponding to each of the unique points is extracted. The size of the icon corresponds to the scale of the unique point. After extraction of the various icons, an object becomes a collection of icons. Each of these icons is un-rotated and normalized or resized to a constant size so it can be compared with other icons. One of the unique properties of these icons is their stability over scale and angle. Thus, this invention allows the recognition of an image(s) or object(s) from large number of trained images or objects very quickly.

Abstract: A measurement system includes a cylindrical mirror, a light source, a photosensitive array, and a processor. The light source is configured and positioned with respect to the cylindrical mirror such that light from the light source is reflected from the cylindrical mirror as a circular arc on an object surface. The photosensitive array is positioned with respect to the cylindrical mirror to detect the circular arc on the object surface. The processor is in communication with the photosensitive array and is configured to detect a break in the circular arc and to measure a substance applied to the object surface based on an image detected by the photosensitive array.

Abstract: A method for visual recognition of an object in an electronic image includes extracting unique points of an object to be learned and/or a target object. The unique points are obtained by cross-correlating the image with a structure. Generally, the structure and/or the size of the structure may vary to detect extremum information associated with the learned object and/or target object. An icon corresponding to each of the unique points is extracted. The size of the icon corresponds to the scale of the unique point. After extraction of the various icons, an object becomes a collection of icons. Each of these icons is un-rotated and normalized or resized to a constant size so it can be compared with other icons. One of the unique properties of these icons is their stability over scale and angle. Thus, this invention allows the recognition of an image(s) or object(s) from large number of trained images or objects very quickly.

Abstract: A system for measuring wheel alignment includes at least one camera and at least one processor in communication with the camera. The camera captures an image of a test wheel. The processor processes the captured image to measure the wheel alignment.

Abstract: A method for visual recognition of an object in an electronic image includes extracting unique points of an object to be learned and/or a target object. The unique points are obtained by cross-correlating the image with a structure. Generally, the structure and/or the size of the structure may vary to detect extremum information associated with the learned object and/or target object. An icon corresponding to each of the unique points is extracted. The size of the icon corresponds to the scale of the unique point. After extraction of the various icons, an object becomes a collection of icons. Each of these icons is un-rotated and normalized or resized to a constant size so it can be compared with other icons. One of the unique properties of these icons is their stability over scale and angle. Thus, this invention allows the recognition of an image(s) or object(s) from large number of trained images or objects very quickly.

Abstract: An industrial robot system includes an end effector connectable to a robot arm, a drive assembly, and a controller. The end effector includes a distal housing, a spindle assembly rotatable about a rotational axis, a drill bit rotatable about the rotational axis, and a sensor assembly. The sensor assembly includes a first light source, a second light source, and a photosensitive array. The first light source produces a first fan of light which is projected as a first line of light on the object surface. The second light source produces a second fan of light, which is projected as a second line of light on the object surface. The photosensitive array detects a first reflection line corresponding to the first line of light and a second reflection line corresponding to the second line of light.

Abstract: A method for picking up an article using a robot arm includes capturing images with a camera and processing the captured images to locate a machine-readable symbol affixed to the article. The machine-readable symbol includes an orientation pattern and encoded information pertaining to the article. The orientation pattern provides information to determine x, y, and z coordinates and Rx, Ry and Rz of a gripping tool attached to the robot arm. The encoded information provides information to determine the appropriate gripping tool, gripping location and gripping motion path.

Abstract: An industrial robot system includes an end effector connectable to a robot arm, a drive assembly, and a controller. The end effector includes a distal housing, a spindle assembly rotatable about a rotational axis, a drill bit rotatable about the rotational axis, and a sensor assembly. The sensor assembly includes a first light source, a second light source, and a photosensitive array. The first light source produces a first fan of light which is projected as a first line of light on the object surface. The second light source produces a second fan of light, which is projected as a second line of light on the object surface. The photosensitive array detects a first reflection line corresponding to the first line of light and a second reflection line corresponding to the second line of light.

Abstract: A method for picking up an article using a robot arm includes capturing images with a camera and processing the captured images to locate a machine-readable symbol affixed to the article. The machine-readable symbol includes an orientation pattern and encoded information pertaining to the article. The orientation pattern provides information to determine x, y, and z coordinates and Rx, Ry and Rz of a gripping tool attached to the robot arm. The encoded information provides information to determine the appropriate gripping tool, gripping location and gripping motion path.

Abstract: A method for measuring wheel alignment of a test wheel rotating about a z-axis using at least one camera and a processor includes obtaining a calibration point from a calibration image of a zero-offset wheel that is the same size as the test wheel and that rotates about the z-axis, obtaining at least one test image of the test wheel with the camera and a non-structured light source, and locating a measurement point in the test image. The measurement point coincides with a radius that the calibration point is offset from the z-axis and the angular displacement of the calibration point from the vertical diameter of the zero-offset wheel. The measurement point is further located based on a change of reflectivity between other points in the test image adjacent the measurement point.

Abstract: Disclosed herein are embodiments and methods of a visual guidance and recognition system requiring no calibration. One embodiment of the system comprises a servo actuated manipulator configured to perform a function, a camera mounted on the face plate of the manipulator, and a recognition controller configured to acquire a two dimensional image of the work piece. The manipulator controller is configured to receive and store the face plate position at a distance “A” between the reference work piece and the manipulator along an axis of the reference work piece when the reference work piece is in the camera's region of interest. The recognition controller is configured to learn the work piece from the image and the distance “A”. During operation, a work piece is recognized with the system, and the manipulator is accurately positioned with respect to the work piece so that the manipulator can accurately perform its function.

Abstract: A method for generating a signal based on a visual image includes photographing a target object with a digital camera to obtain a target image; receiving the target image into a processor that is in communication with the camera; cross-correlating the target image with a structure having a variety of scales across the target image; and based on cross-correlating the target image, generating a signal for output on a device associated with the camera. A visual recognition system is also disclosed.

Abstract: Disclosed is method of visual search for objects that include straight lines. A two-step process is used, which includes detecting straight line segments in an image. The lines are generally characterized by their length, midpoint location, and orientation. Hypotheses that a particular straight line segment belongs to a known object are generated and tested. The set of hypotheses is constrained by spatial relationships in the known objects. The speed and robustness of the method and apparatus disclosed makes it immediately applicable to many computer vision applications.