Abstract: Systems and methods to estimate the height profile of an object using tomosynthesis-like techniques. A plurality of raw images of an object to be characterized are acquired, where the plurality of raw images are representative of a plurality of spatial shifts of an imaging device relative to the object to be characterized. The raw images are processed to generate composite images, where each composite image corresponds to a unique image shift between spatially adjacent raw images. A volatility parameter value is calculated within a neighborhood of a same image pixel location for each composite image. The composite image having the largest volatility parameter value for the image pixel location is determined. A unique image shift, corresponding to the composite image having the largest volatility parameter value, is transformed into a height value representative of a height dimension of the image pixel location.

Abstract: A method and configuration to estimate the dimensions of a cuboid. The configuration includes two image acquisition units offset from each other with at least one of the units positioned at a defined acquisition height above a background surface. Image processing techniques are used to extract a perimeter of a top surface of the cuboid, placed on the background surface, from pairs of acquired images. A height estimation technique is used to calculate an absolute height of the cuboid. The absolute height of the cuboid is used, along with the extracted perimeter of the top surface of the cuboid, to calculate an absolute length and an absolute width of the cuboid. The height, length, and width may be used to calculate an estimated volume of the cuboid.

Abstract: Apparatus, systems, and methods to recognize features on bottom surfaces of containers on a container production line, detect defects in the containers, and correlate the defects to specific production equipment of the container production line, based in part on the recognized features. The system includes imaging apparatus, programmable processing devices, and controllers. The methods include imaging techniques and estimation techniques.

Abstract: Apparatus, systems, and methods to recognize features on bottom surfaces of containers on a container production line, detect defects in the containers, and correlate the defects to specific production equipment of the container production line, based in part on the recognized features. The system includes imaging apparatus, programmable processing devices, and controllers. The methods include imaging techniques and estimation techniques.

Abstract: Apparatus, systems, and methods to recognize features on bottom surfaces of metal containers on a metal container production line, detect defects in the metal containers, and correlate the defects to specific production equipment of the metal container production line, based in part on the recognized features. The system includes imaging apparatus, programmable processing devices, and controllers. The methods include imaging techniques and estimation techniques.

Abstract: A system and method for imaging an interior of a substantially cylindrical object are disclosed. In accordance with an embodiment of the present invention, a substantially cylindrical illuminator is positioned above an opening of a substantially cylindrical object to be imaged (e.g., a beverage can) in order to illuminate at least a portion of the interior surface of the object. A truncated conical mirror is positioned within an interior space of the illuminator to reflect an image of at least a portion of the interior surface of the object. A single camera is positioned above the illuminator and mirror to capture a single image of at least the interior surface of the object via light reflected directly from at least a portion of the interior surface of the object to the camera and from the mirror to the camera. The entire interior surface of the object is captured in the single image which may be analyzed for defects.

Abstract: Apparatus, systems, and methods to recognize features on bottom surfaces of metal containers on a metal container production line, detect defects in the metal containers, and correlate the defects to specific production equipment of the metal container production line, based in part on the recognized features. The system includes imaging apparatus, programmable processing devices, and controllers. The methods include imaging techniques and estimation techniques.

Abstract: Apparatus, systems, and methods to recognize features on bottom surfaces of containers on a container production line, detect defects in the containers, and correlate the defects to specific production equipment of the container production line, based in part on the recognized features. The system includes imaging apparatus, programmable processing devices, and encoders. The methods include synchronization techniques and correlation techniques.

Abstract: Apparatus, systems, and methods to recognize features on bottom surfaces of containers on a container production line, detect defects in the containers, and correlate the defects to specific production equipment of the container production line, based in part on the recognized features. The system includes imaging apparatus, programmable processing devices, and controllers. The methods include imaging techniques and estimation techniques.

Abstract: A system and method for imaging an interior of a substantially cylindrical object are disclosed. In accordance with an embodiment of the present invention, a substantially cylindrical illuminator is positioned above an opening of a substantially cylindrical object to be imaged (e.g., a beverage can) in order to illuminate at least a portion of the interior surface of the object. A truncated conical mirror is positioned within an interior space of the illuminator to reflect an image of at least a portion of the interior surface of the object. A single camera is positioned above the illuminator and mirror to capture a single image of at least the interior surface of the object via light reflected directly from at least a portion of the interior surface of the object to the camera and from the mirror to the camera. The entire interior surface of the object is captured in the single image which may be analyzed for defects.

Abstract: A system and method for imaging an interior of a substantially cylindrical object are disclosed. In accordance with an embodiment of the present invention, a substantially cylindrical illuminator is positioned above an opening of a substantially cylindrical object to be imaged (e.g., a beverage can) in order to illuminate at least a portion of the interior surface of the object. A truncated conical mirror is positioned within an interior space of the illuminator to reflect an image of at least a portion of the interior surface of the object. A single camera is positioned above the illuminator and mirror to capture a single image of at least the interior surface of the object via light reflected directly from at least a portion of the interior surface of the object to the camera and from the mirror to the camera. The entire interior surface of the object is captured in the single image which may be analyzed for defects.

Abstract: A method and system to monitor randomly oriented objects on a process line are disclosed. A color camera is used initially to collect a set of reference images of at least one reference object. The reference images represent various spatial orientations of the reference object. The reference object serves as the standard for the process. The reference images are stored in a computer-based platform. The color camera is then used to capture images of monitored objects as the monitored objects pass by the color camera on a process line. The monitored objects may have a random spatial orientation with respect to the color camera as the monitored objects pass through the field-of-view of the color camera. The captured images of the monitored objects are processed by the computer-based platform and compared to the reference images in order to determine if certain characteristic parameters of the monitored objects have deviated from those same characteristic parameters of the reference object.

Abstract: A system and method to inspect objects for a characteristic parameter. The system includes at least one electromagnetic source for emitting at least two separate wavelengths of electromagnetic energy. At least one electromagnetic detector is positioned at a predefined distance from the electromagnetic source to measure an incident intensity value of the electromagnetic energy at the two wavelengths. An object, placed between the electromagnetic source and the electromagnetic detector is irradiated with electromagnetic energy at the two wavelengths and the electromagnetic energy transmitted through the object is measured by the electromagnetic detector. The system includes a computer-based platform operationally connected to the electromagnetic detector for receiving intensity data values from the electromagnetic detector and for computing attenuation ratio values. The attenuation ratio values are used to determine a level of the characteristic parameter.

Abstract: A method and system to monitor randomly oriented objects on a process line are disclosed. A color camera is used initially to collect a set of training images from a set of training objects on a process line. The training images represent various random spatial orientations of the training objects with respect to the color camera. The training objects serve as the standard for the process. The training images are stored in a computer-based platform. The color camera is then used to capture images of monitored objects as the monitored objects pass by the color camera on the process line. The monitored objects have a random spatial orientation with respect to the color camera as the monitored objects pass through the field-of-view of the color camera.

Abstract: A vision system and methods to detect rogue objects on a product processing line are disclosed. The vision system includes a camera, a source of illumination, a user interface, and a computer-based platform including a memory. The vision system captures images from objects on the product processing line as the objects pass by the camera which is mounted on the product processing line. Image pixel data is converted to vectors of mean pixel values for each captured image from each object, using the vision system. The vectors are compared to a vector training set stored within the memory of the vision system to determine if the objects correspond to “rogue” objects or not, using the vision system. The vector training set is representative of the current product (i.e., objects) being processed on the product processing line.

Abstract: A differential imaging colorimeter system and method which utilizes a RGB color camera to provide accurate differential colorimetry which can be employed as a portable, dedicated, offline system. The system utilizes a portable processor such as a laptop computer, a hand-held imaging head comprising a color camera, a lens, a plurality of white LED lights, a base plate defining an imaging region, housed in an opaque cover, wherein the imaging head provides a RGB video image to the portable processor; and a software program loaded on the portable processor for applying a geometric transform on an image obtained with the imaging head to match a stored reference image. The computer calculates differential colorimetry values to compare current images with a stored reference image.

Abstract: A method of inspection for use with color machine vision systems is provided in which a device-independent digital colorimetric image of a reference object is created on a first machine vision system. The digital colorimetric image can then be shared with other machine vision systems by sending the image electronically, instead of requiring the sharing of the actual reference object. A video image can then be calculated on the second machine vision system using the colorimetric image. The calculated video image can then be used as a reference for comparisons during video inspection on the second machine vision system.

Abstract: A method of inspection for use with color machine vision systems is provided in which a device-independent digital colorimetric image of a reference object is created on a first machine vision system. The digital colorimetric image can then be shared with other machine vision systems by sending the image electronically, instead of requiring the sharing of the actual reference object. A video image can then be calculated on the second machine vision system using the colorimetric image. The calculated video image can then be used as a reference for comparisons during video inspection on the second machine vision system.

Abstract: The invention relates generally to the simultaneous acquisition of superimposed color dark-field and light-field images with a camera followed by decoupling of the images into monochrome components for further analysis of surface defects.

Abstract: The present invention is directed to inspection of sealing surfaces of containers for defects which may prevent proper sealing of the container. The present invention provides an inspection apparatus, system, and method for dark-field machine vision inspection of containers, such as glass containers or other containers having a sealing surface. The illumination system provides a dual directional helical illumination technique, which enhances the ability to distinguish any defects in the sealing surface area. The illumination system may also provide the ability to adjust the diameter of a circular illumination pattern, so as to allow adjustability and optimization of the illumination characteristics for differing container configurations.