A container inspection system is described herein. The container inspection system comprises a camera that captures an image of an exterior surface of the container. The system comprises a processor configured to receive the camera image and retrieve a composite image desirably printed of the exterior surface of the container from a color data file, which further comprising color information related to a printing plate used by a printer to print the composite image on the exterior surface of the container. The processor is configured to transform the received image into a flattened two-dimensional (2D) transformed image of the exterior surface of the container such that the transformed image maps to the composite image with pixels in the transformed image aligned with corresponding pixels in the composite image. The processor is configured to measure color values in the transformed image and output an indication of the measured color values.
G06K 5/02 - Methods or arrangements for verifying the correctness of markings on a record carrierColumn-detection devices the verifying forming a part of the marking action
B41J 3/407 - Typewriters or selective printing or marking mechanisms characterised by the purpose for which they are constructed for marking on special material
H04N 1/00 - Scanning, transmission or reproduction of documents or the like, e.g. facsimile transmissionDetails thereof
A container inspection system is described herein. The container inspection system comprises a camera that captures an image of an exterior surface of the container. The system comprises a processor configured to receive the camera image and retrieve a composite image desirably printed of the exterior surface of the container from a color data file, which further comprising color information related to a printing plate used by a printer to print the composite image on the exterior surface of the container. The processor is configured to transform the received image into a flattened two-dimensional (2D) transformed image of the exterior surface of the container such that the transformed image maps to the composite image with pixels in the transformed image aligned with corresponding pixels in the composite image. The processor is configured to measure color values in the transformed image and output an indication of the measured color values.
An inspection sensor system is described herein. The inspection sensor system includes a first reflector that reflects, onto an object, light of a first wavelength emitted by a first light source. The system also includes a second reflector that reflects, onto the object, light of a second wavelength emitted by a second light source. The system further includes a light diffuser that diffuses light of a third wavelength emitted by a third light source onto the object. Additionally, the system includes a camera that is configured to generate an image of the object while illuminated by the first light source, the second light source, and the third light source. The system also includes a computing system in communication with the camera, wherein the computing system is configured to receive the image generated by the camera and output an indication as to whether or not the object is defective based upon the image.
An inspection sensor system is described herein. The inspection sensor system includes a first reflector that reflects, onto an object, light of a first wavelength emitted by a first light source. The system also includes a second reflector that reflects, onto the object, light of a second wavelength emitted by a second light source. The system further includes a light diffuser that diffuses light of a third wavelength emitted by a third light source onto the object. Additionally, the system includes a camera that is configured to generate an image of the object while illuminated by the first light source, the second light source, and the third light source. The system also includes a computing system in communication with the camera, wherein the computing system is configured to receive the image generated by the camera and output an indication as to whether or not the object is defective based upon the image.
H04N 23/12 - Cameras or camera modules comprising electronic image sensorsControl thereof for generating image signals from different wavelengths with one sensor only
A glass container inspection system an inspection area disposed along a conveyor belt and a computing system. The conveyor belt moves a plurality of glass containers through the inspection area. The inspection area has a plurality of cameras and a plurality of light sources, and the computing system is in communication with the plurality of cameras. The plurality of cameras are configured to capture images of a finish of each of the glass containers as the glass containers move through the inspection area, and the plurality of light sources are configured to produce light proximate a field of view of each camera of the plurality of cameras. The computing system is configured to analyze the captured images and determine if the finish of each of the glass containers has a defect.
A glass container inspection system an inspection area disposed along a conveyor belt and a computing system. The conveyor belt moves a plurality of glass containers through the inspection area. The inspection area has a plurality of cameras and a plurality of light sources, and the computing system is in communication with the plurality of cameras. The plurality of cameras are configured to capture images of a finish of each of the glass containers as the glass containers move through the inspection area, and the plurality of light sources are configured to produce light proximate a field of view of each camera of the plurality of cameras. The computing system is configured to analyze the captured images and determine if the finish of each of the glass containers has a defect.
09 - Scientific and electric apparatus and instruments
Goods & Services
Machine vision systems comprised primarily of cameras, lights, computer hardware and recorded software, color cameras and two or more different color light sources that are components of the vision systems used for monitoring, locating, guiding, identifying, measuring and inspecting surfaces for defects
A glass container inspection system including a diffuse illuminator configured to provide diffused light arranged to illuminate a portion of a glass container symmetrically about a central axis of the container. The inspection system further includes an image capture system that generates at least one image that includes a plurality of views of the glass container illuminated by the diffused light. The at least one image may include a view of the portion of the container reflected by a mirror. The glass container inspection system yet further includes a computing system in communication with the image capture system. The computing system can be configured to output an indication as to whether the container is defective based upon the data from the image capture system. The computing system can be further configured to output the indication responsive to detecting a check in the sidewall of the glass container.
09 - Scientific and electric apparatus and instruments
Goods & Services
Machine vision systems for monitoring, locating, guiding, identifying, measuring and inspecting objects primarily comprising computer hardware with embedded operating system software and cameras, and also including a light source; parts for machine vision systems for monitoring, locating, guiding, identifying, measuring and inspecting objects, namely, computer hardware, recorded operating software, and cameras; none of the foregoing for use in connection with home security, premises security, or anti-theft goods or services
A glass container inspection system including a diffuse illuminator configured to provide diffused light arranged to illuminate a portion of a glass container symmetrically about a central axis of the container. The inspection system further includes an image capture system that generates at least one image that includes a plurality of views of the glass container illuminated by the diffused light. The at least one image may include a view of the portion of the container reflected by a mirror. The glass container inspection system yet further includes a computing system in communication with the image capture system. The computing system can be configured to output an indication as to whether the container is defective based upon the data from the image capture system. The computing system can be further configured to output the indication responsive to detecting a check in the sidewall of the glass container.
A container inspection system is described herein. The container inspection system includes a camera and a computing system, wherein the camera is configured to capture multiple images of a transparent container as the transparent container is transported along a conveyor. Thus, the camera captures several images of the transparent container when the transparent container is at different positions relative to the camera. The container inspection system detects a defect in the transparent container based upon one or more images in the several images.
A container inspection system is described herein. The container inspection system includes a camera and a computing system, wherein the camera is configured to capture multiple images of a transparent container as the transparent container is transported along a conveyor. Thus, the camera captures several images of the transparent container when the transparent container is at different positions relative to the camera. The container inspection system detects a defect in the transparent container based upon one or more images in the several images.
Described herein are various technologies pertaining to an automated light field illumination container inspection and manufacture system. The system includes a plurality of cameras that capture images of a container when the container is illuminated by way of light field illumination. Bands in images that include reflections in the exterior surface of the sidewall are identified, and a determination is made as to whether the container is defective based upon the identified bands.
G06T 7/90 - Determination of colour characteristics
B41J 3/407 - Typewriters or selective printing or marking mechanisms characterised by the purpose for which they are constructed for marking on special material
B41J 11/00 - Devices or arrangements for supporting or handling copy material in sheet or web form
A container inspection system is described herein. The container inspection system includes a light source that emits a flash of light when a container is detected as being in an inspection region. The container inspection system further includes a light director element that receives a portion of the flash of light and forms a tapering field of light that illuminates an exterior surface of a sidewall of the container when the container is in the inspection region. The container inspection system further comprises a camera that generates an image of the exterior surface when such surface is illuminated by the tapering field of light. A computing system receives the image and outputs an indication as to whether or not the container is defective based upon the image.
Described herein are various technologies pertaining to determining whether at least a portion of a sidewall of a glass container (104) has insufficient thickness. A glass container inspection system (100) comprises an infrared camera (114) in communication with a computing system (112). The infrared camera (114) is configured to capture an infrared image of an exterior of the sidewall of the glass container (104) at long-wavelength infrared as the glass container (104) undergoes a temperature change. The computing system (112) receives the infrared image from the infrared camera (114) and outputs an indication that at least the portion of the sidewall of the glass container (104) has insufficient thickness based on the infrared image. The indication may also be based on a statistical model derived from infrared images of glass containers having sidewalls of known sufficient thickness.
Described herein are various technologies pertaining to determining whether at least a portion of a sidewall of a glass container has insufficient thickness. A glass container inspection system comprises an infrared camera in communication with a computing system. The infrared camera is configured to capture an infrared image of an exterior of the sidewall of the glass container at long-wavelength infrared as the glass container undergoes a temperature change. The computing system receives the infrared image from the infrared camera and outputs an indication that at least the portion of the sidewall of the glass container has insufficient thickness based on the infrared image. The indication may also be based on a statistical model derived from infrared images of glass containers having sidewalls of known sufficient thickness.
Described herein are various technologies pertaining to automated container inspection. A region in an image of a container is labeled as being subject to depicting reflections. When determining whether or not the container is defective based upon the image of the container, values of pixels of the image are compared to corresponding statistics of such pixels, where the statistics can identify an acceptable distribution of values for a pixel. For pixels in the above-mentioned region, more variance in the values of the pixels is allowed (compared to allowed variance when analyzing values of pixels outside of the region) when determining whether or not the container is defective based upon the values of the pixels.
09 - Scientific and electric apparatus and instruments
Goods & Services
Machine vision systems primarily comprised of computer hardware, computer software, computer monitors, cameras, illumination means and structural parts thereof.
19.
LIGHT FIELD ILLUMINATION CONTAINER INSPECTION SYSTEM
Described herein are various technologies pertaining to an automated light field illumination container inspection. The container inspection system includes a plurality of cameras that capture images of a container when the container is illuminated by way of light field illumination. Bands in images that include reflections in the exterior surface of the sidewall are identified, and a determination is made as to whether the container is defective based upon the identified bands.
Described herein are various technologies pertaining to an automated light field illumination container inspection. The container inspection system includes a plurality of cameras that capture images of a container when the container is illuminated by way of light field illumination. Bands in images that include reflections in the exterior surface of the sidewall are identified, and a determination is made as to whether the container is defective based upon the identified bands.
Described herein are various technologies related to inspecting transparent containers for both opaque and transparent defects. An emitter is configured to direct a color gradient through a sidewall of a transparent container, such that color of light that passes through the sidewall varies across the sidewall. A camera is configured to capture an image of the sidewall of the transparent container while the color gradient passes through the sidewall of the container. A computing system receives the image and determines whether the sidewall of the container includes either an opaque or a transparent defect based upon the image.
Described herein are various technologies related to inspecting transparent containers for both opaque and transparent defects. An emitter is configured to direct a color gradient through a sidewall of a transparent container, such that color of light that passes through the sidewall varies across the sidewall. A camera is configured to capture an image of the sidewall of the transparent container while the color gradient passes through the sidewall of the container. A computing system receives the image and determines whether the sidewall of the container includes either an opaque or a transparent defect based upon the image.
Systems and methods for extracting topographic information from inspected objects to identify defects in the inspected objects. A part to be inspected is illuminated with at least two different colors emitted from an illuminator providing a gradient of light consisting of the at least two different colors. A single color image of the illuminated part to be inspected is acquired, providing a color-coded topographic mapping of the part to be inspected due, at least in part, to the gradient of light. Topographic monochrome views of the part to be inspected may be generated from the single color image. Each view of the topographic monochrome views may enhance a different type of feature or defect present in the part to be inspected which can be analyzed and detected.
09 - Scientific and electric apparatus and instruments
Goods & Services
Machine vision systems primarily comprised of computer hardware, computer software, computer monitors, cameras, illumination means and structural parts thereof
09 - Scientific and electric apparatus and instruments
Goods & Services
Machine vision systems primarily comprised of computer hardware, computer software, computer monitors, cameras, illumination means and structural parts thereof
09 - Scientific and electric apparatus and instruments
Goods & Services
Machine vision systems and parts thereof, namely, cameras, lights, computer hardware and software, color cameras and two or more different color light sources used for monitoring, locating, guiding, identifying, measuring and inspecting surfaces for defects.
09 - Scientific and electric apparatus and instruments
Goods & Services
Machine vision systems and parts thereof, namely, cameras, lights, computer hardware and software, color cameras and two or more different color light sources used for monitoring, locating, guiding, identifying, measuring and inspecting surfaces for defects
30.
System and method for estimating the height of an object using tomosynthesis-like techniques
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.
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.
G06K 9/00 - Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
G01B 11/24 - Measuring arrangements characterised by the use of optical techniques for measuring contours or curvatures
G01B 11/14 - Measuring arrangements characterised by the use of optical techniques for measuring distance or clearance between spaced objects or spaced apertures
G06K 7/10 - Methods or arrangements for sensing record carriers by electromagnetic radiation, e.g. optical sensingMethods or arrangements for sensing record carriers by corpuscular radiation
G06K 7/00 - Methods or arrangements for sensing record carriers
40 - Treatment of materials; recycling, air and water treatment,
42 - Scientific, technological and industrial services, research and design
Goods & Services
Manufacturing services in the field of machine vision systems and parts thereof comprised of cameras, lights, computer hardware and software, for monitoring, locating, guiding, identifying, measuring and inspecting whether objects are damaged or defective Design services in the field of machine vision systems and parts thereof comprised of cameras, lights, computer hardware and software, for monitoring, locating, guiding, identifying, measuring and inspecting whether objects are damaged or defective
09 - Scientific and electric apparatus and instruments
Goods & Services
Machine vision systems and parts thereof comprised of cameras, lights, computer hardware and software, for monitoring, locating, guiding, identifying, measuring and inspecting whether objects are damaged or defective
34.
SYSTEM AND METHOD FOR DIMENSIONING OBJECTS USING STEREOSCOPIC IMAGING
A method and configuration (100) to estimate the dimensions of a cuboid (150). The configuration (100) includes two image acquisition units (110, 120) offset from each other with at least one of the units positioned at a defined acquisition height (135) above a background surface. Image processing techniques are used to extract a perimeter of a top surface (155) of the cuboid (150), placed on the background surface, from pairs of acquired images. A height estimation technique is used to calculate an absolute height (156) of the cuboid (150). The absolute height (156) of the cuboid (150) is used, along with the extracted perimeter of the top surface (155) of the cuboid (150), to calculate an absolute length and an absolute width of the cuboid (150). The height, length, and width may be used to calculate an estimated volume of the cuboid (150).
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.
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.
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.
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.
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.
09 - Scientific and electric apparatus and instruments
Goods & Services
Machine vision systems and parts thereof, namely, graphical user interfaces used in machine vision systems, cameras, lights, computer hardware and software, color cameras and two or more different color light sources used for monitoring, locating, guiding, identifying, measuring and inspecting objects and sealing surfaces for defects
09 - Scientific and electric apparatus and instruments
Goods & Services
Machine vision systems and parts thereof, namely, cameras, lights, computer hardware and software, for monitoring, locating, guiding, identifying, measuring and inspecting objects
