Abstract: Disclosed are systems and methods for configuring a vision detector, wherein a training image is obtained from a production line operating in continuous motion so as to provide conditions substantially identical to those that will apply during actual manufacturing and inspection of objects. A training image can be obtained without any need for a trigger signal, whether or not the vision detector might use such a signal for inspecting the objects. Further disclosed are systems and methods for testing a vision detector by selecting, storing, and displaying a limited number of images from a production run, where those images correspond to objects likely to represent incorrect decisions.

Abstract: Disclosed are systems and methods for configuring a vision detector, wherein a training image is obtained from a production line operating in continuous motion so as to provide conditions substantially identical to those that will apply during actual manufacturing and inspection of objects. A training image can be obtained without any need for a trigger signal, whether or not the vision detector might use such a signal for inspecting the objects. Further disclosed are systems and methods for testing a vision detector by selecting, storing, and displaying a limited number of images from a production run, where those images correspond to objects likely to represent incorrect decisions.

Abstract: An apparatus and method are disclosed for setting up a vision system having a camera and a vision processor cooperative with the camera. The apparatus includes a gesture recognizer, a key recognizer, a breakout box having at least two signaling elements, and a setup control unit that is cooperative with the gesture recognizer, the key recognizer, and the breakout box. The combination of using a key and a gesture set as herein described is substantially superior, as compared with known user interfaces for setting up a vision system that has been previously been engineered, in terms of low-cost, convenience, ease-of-use, simplicity, and speed.

Abstract: An apparatus and method are disclosed for setting up a vision system having a camera and a vision processor cooperative with the camera. The apparatus includes a gesture recognizer, a key recognizer, a breakout box having at least two signaling elements, and a setup control unit that is cooperative with the gesture recognizer, the key recognizer, and the breakout box. The combination of using a key and a gesture set as herein described is substantially superior, as compared with known user interfaces for setting up a vision system that has been previously been engineered, in terms of low-cost, convenience, ease-of-use, simplicity, and speed.

Abstract: A structure for receiving surgical instruments for performing a surgical procedure on a body includes a passage through which the surgical instruments are inserted into the body. The passage has a proximal end and a distal end. An expandable portion enables an increase in the cross-sectional area of the distal end of the passage. The expandable portion has a contracted condition in which the cross-sectional area of the distal end of the passage has a first cross-sectional area. The expandable portion has an expanded condition in which the distal end of the passage has a second cross-sectional area greater than the first cross-sectional area. The second cross-sectional area is greater than a cross-sectional area of the proximal end of the passage when the expandable portion is in the expanded condition. A retaining mechanism resists movement of the expandable portion from the expanded condition toward the contracted condition during the surgical procedure.

Abstract: An apparatus and method are disclosed for setting up a vision system having a camera and a vision processor cooperative with the camera. The apparatus includes a gesture recognizer, a key recognizer, a breakout box having at least two signaling elements, and a setup control unit that is cooperative with the gesture recognizer, the key recognizer, and the breakout box. The combination of using a key and a gesture set as herein described is substantially superior, as compared with known user interfaces for setting up a vision system that has been previously been engineered, in terms of low-cost, convenience, ease-of-use, simplicity, and speed.

Abstract: A stereo imaging based vision system to monitor the area on the two sides of either a door and control door motion according to the motion of 3D objects in the viewing area. The system calibrated to provide heights above the ground plane for any point in the field of view. Therefore, when any object enters the field of view, it generates interest points called “features”, the heights of which are measured relative to the ground plane. These points are then clustered in 3D space to provide “objects”. These objects are then tracked in multiple frames to provide “trajectories”. Such a system could then control the door motion (open, close, stall) based on the various pieces of information generated about the object.

Abstract: Disclosed are methods and apparatus for automatic optoelectronic detection and inspection of objects, based on capturing digital images of a two-dimensional field of view in which an object to be detected or inspected may be located, analyzing the images, and making and reporting decisions on the status of the object. Decisions are based on evidence obtained from a plurality of images for which the object is located in the field of view, generally corresponding to a plurality of viewing perspectives. Evidence that an object is located in the field of view is used for detection, and evidence that the object satisfies appropriate inspection criteria is used for inspection. Methods and apparatus are disclosed for capturing and analyzing images at high speed so that multiple viewing perspectives can be obtained for objects in continuous motion.

Abstract: This invention overcomes the disadvantages of the prior art by providing a human/machine interface (HMI) for use with machine vision systems (MVSs) that provides the machine vision system processing functionality at the sensor end of the system, and uses a communication interface to exchange control, image and analysis information with a standardized, preferably portable device that can be removed from the MVS during runtime. In an illustrative embodiment, this portable device can be a web-browser equipped computer (handheld, laptop or fixed PC) or a Personal Digital Assistant (PDA). The communication interface on the sensor-end of the system is adapted to communicate over a cable or wireless communication link (for example infrared (IR) or radio frequency (RF)), with a corresponding communication interface in the portable device.

Abstract: A method and apparatus are provided for identifying differences between a stored pattern and a matching image subset, where variations in pattern position, orientation, and size do not give rise to false differences. The invention is also a system for analyzing an object image with respect to a model pattern so as to detect flaws in the object image. The system includes extracting pattern features from the model pattern; generating a vector-valued function using the pattern features to provide a pattern field; extracting image features from the object image; evaluating each image feature, using the pattern field and an n-dimensional transformation that associates image features with pattern features, so as to determine at least one associated feature characteristic; and using at least one feature characteristic to identify at least one flaw in the object image. The invention can find at least two distinct kinds of flaws: missing features, and extra features.

Abstract: A structure for receiving surgical instruments for performing a surgical procedure on a body includes a passage through which the surgical instruments are inserted into the body. The passage has a proximal end and a distal end. An expandable portion enables an increase in the cross-sectional area of the distal end of the passage. The expandable portion has a contracted condition in which the cross-sectional area of the distal end of the passage has a first cross-sectional area. The expandable portion has an expanded condition in which the distal end of the passage has a second cross-sectional area greater than the first cross-sectional area. The second cross-sectional area is greater than a cross-sectional area of the proximal end of the passage when the expandable portion is in the expanded condition. A retaining mechanism resists movement of the expandable portion from the expanded condition toward the contracted condition during the surgical procedure.

Abstract: A two-dimensional (2-D) machine-vision safety-solution involving a method and apparatus for performing high-integrity, high efficiency machine vision. A known structured lighting texture pattern is projected upon a target area. A model image of the pattern on an empty target field is stored during an initial training step. The machine vision safety solution digitally interprets a camera image of the light reflected by the objects in the target area to detect and characterize a pattern in the image. The pattern characterization is then processed to determine if a distortion of the characterization factors is larger than a predetermined threshold, and results in an alarm condition.

Abstract: A method and apparatus are provided for identifying differences between a stored pattern and a matching image subset, where variations in pattern position, orientation, and size do not give rise to false differences. The invention is also a system for analyzing an object image with respect to a model pattern so as to detect flaws in the object image. The system includes extracting pattern features from the model pattern; generating a vector-valued function using the pattern features to provide a pattern field; extracting image features from the object image; evaluating each image feature, using the pattern field and an n-dimensional transformation that associates image features with pattern features, so as to determine at least one associated feature characteristic; and using at least one feature characteristic to identify at least one flaw in the object image. The invention can find at least two distinct kinds of flaws: missing features, and extra features.

Abstract: A structure for receiving surgical instruments for performing a surgical procedure on a body includes a passage through which the surgical instruments are inserted into the body. The passage has a proximal end and a distal end. An expandable portion enables an increase in the cross-sectional area of the distal end of the passage. The expandable portion has a contracted condition in which the cross-sectional area of the distal end of the passage has a first cross-sectional area. The expandable portion has an expanded condition in which the distal end of the passage has a second cross-sectional area greater than the first cross-sectional area. The second cross-sectional area is greater than a cross-sectional area of the proximal end of the passage when the expandable portion is in the expanded condition. A retaining mechanism resists movement of the expandable portion from the expanded condition toward the contracted condition during the surgical procedure.

Abstract: A method and apparatus are provided for identifying differences between a stored pattern and a matching image subset, where variations in pattern position, orientation, and size do not give rise to false differences. The invention is also a system for analyzing an object image with respect to a model pattern so as to detect flaws in the object image. The system includes extracting pattern features from the model pattern; generating a vector-valued function using the pattern features to provide a pattern field; extracting image features from the object image; evaluating each image feature, using the pattern field and an n-dimensional transformation that associates image features with pattern features, so as to determine at least one associated feature characteristic; and using at least one feature characteristic to identify at least one flaw in the object image. The invention can find at least two distinct kinds of flaws: missing features, and extra features.

Abstract: A method and apparatus are provided for identifying differences between a stored pattern and a matching image subset, where variations in pattern position, orientation, and size do not give rise to false differences. The invention is also a system for analyzing an object image with respect to a model pattern so as to detect flaws in the object image. The system includes extracting pattern features from the model pattern; generating a vector-valued function using the pattern features to provide a pattern field; extracting image features from the object image; evaluating each image feature, using the pattern field and an n-dimensional transformation that associates image features with pattern features, so as to determine at least one associated feature characteristic; and using at least one feature characteristic to identify at least one flaw in the object image. The invention can find at least two distinct kinds of flaws: missing features, and extra features.

Abstract: A method and apparatus are provided for identifying differences between a stored pattern and a matching image subset, where variations in pattern position, orientation, and size do not give rise to false differences. The invention is also a system for analyzing an object image with respect to a model pattern so as to detect flaws in the object image. The system includes extracting pattern features from the model pattern; generating a vector-valued function using the pattern features to provide a pattern field; extracting image features from the object image; evaluating each image feature, using the pattern field and an n-dimensional transformation that associates image features with pattern features, so as to determine at least one associated feature characteristic; and using at least one feature characteristic to identify at least one flaw in the object image. The invention can find at least two distinct kinds of flaws: missing features, and extra features.

Abstract: A method and apparatus are provided for identifying differences between a stored pattern and a matching image subset, where variations in pattern position, orientation, and size do not give rise to false differences. The invention is also a system for analyzing an object image with respect to a model pattern so as to detect flaws in the object image. The system includes extracting pattern features from the model pattern; generating a vector-valued function using the pattern features to provide a pattern field; extracting image features from the object image; evaluating each image feature, using the pattern field and an n-dimensional transformation that associates image features with pattern features, so as to determine at least one associated feature characteristic; and using at least one feature characteristic to identify at least one flaw in the object image. The invention can find at least two distinct kinds of flaws: missing features, and extra features.

Abstract: A method and apparatus for locating objects by means of machine vision alignment using cooperative targets. Novel cooperative targets are used that have substantial performance advantages. Alignment methods having non-translation alignment capabilities are used, such as geometric pattern matching, cooperating with suitable targets to perform alignment in non-translation degrees of freedom, such as orientation and size.

Abstract: A method and apparatus are provided for identifying differences between a stored pattern and a matching image subset, where variations in pattern position, orientation, and size do not give rise to false differences. The invention is also a system for analyzing an object image with respect to a model pattern so as to detect flaws in the object image. The system includes extracting pattern features from the model pattern; generating a vector-valued function using the pattern features to provide a pattern field; extracting image features from the object image; evaluating each image feature, using the pattern field and an n-dimensional transformation that associates image features with pattern features, so as to determine at least one associated feature characteristic; and using at least one feature characteristic to identify at least one flaw in the object image. The invention can find at least two distinct kinds of flaws: missing features, and extra features.