Abstract:
A tachometer (32) monitors the speed of a continuously moving web or article (12). A lens (20) focuses an image of a portion of the web in an examination region (14) on image section (22) of a CCD array. As the web moves, the image moves correspondingly along the image section. A synchronizing circuit (C) adjusts the frequency of the tachometer output signal and uses it in lieu of a fixed frequency oscillator as the master clocking or timing basis for generating clocking pulses for the CCD array. More specifically, the synchronizing circuit generates four phase clocking pulses (.phi.1A-.phi.4A) which shifts lines of CCD data along the image section at the same speed that the image is moving along the CCD section. In this manner, the pixel values integrate light from the same area of the imaged web at each shifted position along the image section. Each line of data from the image section may be shifted at the same rate through an optically light-insensitive storage section (24) and read out serially by shift registers (26) to form a video signal. A quality control analysis circuit (D) monitors the video signal for selected characteristics of the imaged web. Preferably, a record is maintained of the location of flaws and defects noted by the quality analysis circuit.
Abstract:
A semiconductor device inspection system capable of objectively accomplishing visual image inspection of a semiconductor device and minimizing error in the inspection, to thereby effectively carry out the inspection with high accuracy and at high speed. The system includes a low magnification image pickup mechanism which consists of a plurality of low magnification image pickup units each carrying out low magnification image pickup of a semiconductor device to generate an image signal. The system also includes a signal processing system for processing the image signal to judge the correctness of the semiconductor device. In the image pickup units, their light receptors are each arranged in parallel to an inspected surface of the semiconductor device and their central axes intersect together on the inspected surface. The system may also include a high magnification image pickup unit consisting of a high magnification image pickup mechanism and a light-permeable element retractably positioned between the unit and a semiconductor device to be inspected.
Abstract:
A flaw detector, for detecting a flaw in a sheet, picks up, by means of a plurality of linear array cameras, the light of rays transmitted through a sheet. The video signals from the linear array cameras, which are appropriately processed, are used for checking whether a flaw is present or not. A sensitivity-difference correcting section corrects sensitivity differences amoung the cameras and among photosensitive elements of each camera, which sensitivity differences are contained in the video signal. Automatic gain control sections, for transparent and opaque flaws, respectively, control the sensitivities of the video signals. These signals are differentiated, and then compared with a predetermined slicing level, thereby to check whether transparent and opaque flaws are present or not.
Abstract:
An integral system for automated and non-intrusive of cleaning and non-destructive inspection (ultrasonic volumetric testing and visual testing) to detect, characterize and monitor with precision the level of internal and external damage (Cracks, deformations, corrosion, erosion, etc.) that may be present in coke drums throughout their life cycle is disclosed. Embodiments are disclosed that enable a condition of a coke drum to be estimated in a reliable manner for their fitness for service from the results obtained from the automated inspection with the non-destructive methods of ultrasound and visual testing.
Abstract:
A system for classifying different types of sheeting materials of road signs depicted in a videostream compares estimated retroreflectivity values against known minimum retroreflectivity values for each of a plurality of colors. Once a road sign has been identified in the videostream, the frames associated with that road sign are analyzed to determine each of a plurality of colors present on the road sign. An estimated retroreflectivity for each of the plurality of colors present on the road sign is then determined. By comparing the estimated retroreflectivity for each of the plurality of colors against known minimum retroreflectivity values for the corresponding color for different types of sheeting materials, an accurate determination of the classification of the sheeting material of the road sign is established. Preferably, certain conditions of gross failure of the sheeting material are filtered out before classification of the sheeting material is determined.
Abstract:
A system for classifying different types of sheeting materials of road signs depicted in a videostream compares estimated retroreflectivity values against known minimum retroreflectivity values for each of a plurality of colors. Once a road sign has been identified in the videostream, the frames associated with that road sign are analyzed to determine each of a plurality of colors present on the road sign. An estimated retroreflectivity for each of the plurality of colors present on the road sign is then determined. By comparing the estimated retroreflectivity for each of the plurality of colors against known minimum retroreflectivity values for the corresponding color for different types of sheeting materials, an accurate determination of the classification of the sheeting material of the road sign is established. Preferably, certain conditions of gross failure of the sheeting material are filtered out before classification of the sheeting material is determined.
Abstract:
A system for the assessment of reflective surfaces disposed along a roadway repeatedly illuminates an area along the roadway that includes at least one reflective surface using a light source. Multiple light intensity values are measured over a field of view which includes at least a portion of the area illuminated by the light source. A computer processing system is used to identifying a portion of the light intensity values associated with a reflective surface and analyze the portion of the light intensity values to determine assessment for that reflective surface.
Abstract:
A system for the assessment of reflective surfaces disposed along a roadway repeatedly illuminates an area along the roadway that includes at least one reflective surface using a light source. Multiple light intensity values are measured over a field of view which includes at least a portion of the area illuminated by the light source. A computer processing system is used to identifying a portion of the light intensity values associated with a reflective surface and analyze the portion of the light intensity values to determine assessment for that reflective surface. In one embodiment, a virtual nighttime drive through along a roadway is simulated using a plurality of intensity values to simulate reflections from each reflective surface disposed along the roadway during the virtual drive through.
Abstract:
A system for the determination of retroreflectivity values for reflective surfaces disposed along a roadway repeatedly illuminates an area along the roadway that includes at least one reflective surface using a light source. Multiple light intensity values are measured over a field of view which includes at least a portion of the area illuminated by the light source. A computer processing system is used to identifying a portion of the light intensity values associated with a reflective surface and analyze the portion of the light intensity values to determine at least one retroreflectivity value for that reflective surface.
Abstract:
A system for classifying different types of sheeting materials of road signs depicted in a videostream compares estimated retroreflectivity values against known minimum retroreflectivity values for each of a plurality of colors. Once a road sign has been identified in the videostream, the frames associated with that road sign are analyzed to determine each of a plurality of colors present on the road sign. An estimated retroreflectivity for each of the plurality of colors present on the road sign is then determined. By comparing the estimated retroreflectivity for each of the plurality of colors against known minimum retroreflectivity values for the corresponding color for different types of sheeting materials, an accurate determination of the classification of the sheeting material of the road sign is established. Preferably, certain conditions of gross failure of the sheeting material are filtered out before classification of the sheeting material is determined.