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: 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, which corrects for spatial drift of the configuration, 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: A machine for distinguishing blisters from checks on the finish of a glass container. The captured objects are located in a band to define a cluster. The cluster is evaluated to determine whether it is a multiple cluster and each defined cluster is evaluated to distinguish a check from a blister.

Abstract: A machine for inspecting the finish of a glass container rotating at an inspection station. A pair of light sources, which are repeatedly turned on and off, have horizontal light axes which are orthogonally related and intersect the container axis. The light sources illuminate the container finish to identify checks. The illuminated checks are imaged by a camera which has a camera axis coincident with the container axis and the intersecting light axes. The camera axis makes an angle of 45 degrees with both light axes and the horizontal. The camera is exposed through multiple images.

Abstract: A machine for inspecting glass containers which are being rotated at an inspection station. A light source illuminates a selected area on a rotating glass container while the container rotates through a selected angle and a camera is triggered to capture an image while the bottle rotates through that angle. A plurality of sequential images are recorded and a critical addition is made to be inspected.

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: A machine for inspecting glass containers which are being rotated at an inspection station. A light source illuminates a selected area on a rotating glass container while the container rotates through a selected angle and a camera is triggered to capture an image while the bottle rotates through that angle. A plurality of sequential images are recorded and a critical addition is made to be inspected.

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 machine for distinguishing blisters from checks on the finish of a glass container. The captured objects are located in a band to define a cluster. The cluster is evaluated to determine whether it is a multiple cluster and each defined cluster is evaluated to distinguish a check from a blister.

Abstract: A machine for distinguishing blisters from checks on the finish of a glass container. The captured objects are located in a band to define a cluster. The cluster is evaluated to determine whether it is a multiple cluster and each defined cluster is evaluated to distinguish a check from a blister.

Abstract: A machine for inspecting a rotating glass container for defects wherein the image evaluated for defects is a critical addition of a plurality of additions each defined by a plurality of time spaced images.

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 machine for distinguishing blisters from checks on the finish of a glass container. The center of each captured object in an array is determined by a controller which determines the object centers in a plurality of adjacent bands. The band having the most object centers is determined and the objects in the band having the most object centers are deleted from the rest of the bands. The control repeatedly determines the band of the rest of the bands having the most object centers and deletes the objects in the band of the rest of the bands having the most object centers from the remainder of the bands until the objects in each band are unique. The maximum separation of objects in each band is defined and checks will be differentiated from blisters based on this separation.

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 machine for inspecting a rotating glass container for defects wherein the image evaluated for defects is a critical addition of a plurality of additions each defined by a plurality of time spaced images.

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 machine for inspecting glass containers rotating at an inspection station. A camera images an area of interest on the glass container and continuous illumination of that area is provided by strobing a light source a number of times while the area is imaged on a camera the entire period.

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.