Gob inspection system for glass product
The problem is solved by generating a gob image A by capturing, with a line scanning camera, an image of a falling gob that has been cut off at an orifice; generating an image B by binarizing the gob image A with a boundary value that turns a general part of the gob black and turns a peripheral lustrous portion and a defect of the gob white; generating an image C by binarizing the gob image A with a boundary value that turns the entire gob white and turns a background black and inverting the black and white; generating an image D by combining the image B and the image C together; setting a region located a given number of pixels inside an outer edge of the black area of the image D as an inspection region; and inspecting the inspection region of the gob image A to determine whether the gob is good.
1. A gob inspection system comprising:
a line scanning camera configured to scan, in a horizontal direction, a falling gob that has been cut off at an orifice; and
processing means for processing data from the line scanning camera,
wherein the processing means generates a gob image A by arranging lines of the data sequentially in a vertical direction;
generates an image B by binarizing the gob image A with a boundary value that turns a general part of the gob black and turns a peripheral lustrous portion and a defect of the gob white;
generates an image C by binarizing the gob image A with a boundary value that turns the entire gob white and turns a background black and inverting the black and white;
generates an image D by combining the image B and the image C together;
sets a region located a given number of pixels inside an outer edge of the black area of the image D as an inspection region; and
inspects the inspection region of the gob image A to determine whether the gob is good.
2. The gob inspection system according to claim 1 , wherein if, in the inspection region of the gob image A, the number of pixels with brightness levels higher than a predetermined brightness threshold exceeds a predetermined threshold number of pixels, the processing means determines that the gob is a bad gob.
3. A gob inspection system comprising:
a line scanning camera configured to scan, in a horizontal direction, a falling gob that has been cut off at an orifice; and
processing means for processing data from the line scanning camera,
wherein the processing means generates a gob image A by arranging lines of the data sequentially in a vertical direction;
generates an image B by binarizing the gob image A with a boundary value that turns a general part of the gob black and turns a peripheral lustrous portion and a defect of the gob white;
generates an image C by binarizing the gob image A with a boundary value that turns the entire gob white and turns a background black and inverting the black and white;
generates an image D by combining the image B and the image C together;
sets a region located a given number of pixels inside an outer edge of the black area of the image D as an inspection region; and
performs an inspection on the basis of a white portion in the inspection region of the image D to determine whether the gob is good.
4. The gob inspection system according to claim 3 , wherein if the total number of pixels in the white portion in the inspection region of the image D exceeds a predetermined threshold number of pixels, the processing means determines that the gob is a bad gob.
5. A gob inspection system comprising:
a line scanning camera configured to scan, in a horizontal direction, a falling gob that has been cut off at an orifice; and
processing means for processing data from the line scanning camera,
wherein the processing means generates a gob image A by arranging lines of the data sequentially in a vertical direction;
generates an image B by binarizing the gob image A with a boundary value that turns a general part of the gob black and turns a peripheral lustrous portion and a defect of the gob white;
generates an image C by binarizing the gob image A with a boundary value that turns the entire gob white and turns a background black and inverting the black and white;
generates an image E by eroding an edge of a white area in the image B by a width of a predetermined number of pixels;
generates an image F by dilating an edge of a white area in the image E by a width of a predetermined number of pixels;
generates an image G by combining the image F and the image C together; and
performs an inspection on the basis of a white portion in the black area of the image G to determine whether the gob is good.
6. The gob inspection system according to claim 5 , wherein if the total number of pixels in the white portion in the black area of the image G exceeds a predetermined threshold number of pixels, the processing means determines that the gob is a bad gob.
7. The gob inspection system, comprising:
a line scanning camera configured to scan, in a horizontal direction, a falling gob that has been cut off at an orifice; and
processing means for processing data from the line scanning camera,
wherein the processing means generates a gob image A by arranging lines of the data sequentially in a vertical direction;
generates an image H by binarizing the gob image A with a boundary value that turns the entire gob white and turns a background black;
generates an image I by trimming off a protrusion of the white area of the image H;
generates an image J by subtracting the image I from the image H; and
determines that the gob is a bad gob if the total number of pixels in a white portion in the black area of the image J exceeds a predetermined threshold number of pixels.
8. The gob inspection system according to claim 1 , wherein the gob inspection system includes a plurality of line scanning cameras, inspects each of gob images from the respective line scanning cameras, and determines that the gob is a bad gob if, on the basis of at least one of the gob images, the gob is determined to be a bad gob.
9. The gob inspection system according to claim 2 , wherein the gob inspection system includes a plurality of line scanning cameras, inspects each of gob images from the respective line scanning cameras, and determines that the gob is a bad gob if, on the basis of at least one of the gob images, the gob is determined to be a bad gob.
10. The gob inspection system according to claim 3 , wherein the gob inspection system includes a plurality of line scanning cameras, inspects each of gob images from the respective line scanning cameras, and determines that the gob is a bad gob if, on the basis of at least one of the gob images, the gob is determined to be a bad gob.
11. The gob inspection system according to claim 4 , wherein the gob inspection system includes a plurality of line scanning cameras, inspects each of gob images from the respective line scanning cameras, and determines that the gob is a bad gob if, on the basis of at least one of the gob images, the gob is determined to be a bad gob.
12. The gob inspection system according to claim 5 , wherein the gob inspection system includes a plurality of line scanning cameras, inspects each of gob images from the respective line scanning cameras, and determines that the gob is a bad gob if, on the basis of at least one of the gob images, the gob is determined to be a bad gob.
13. The gob inspection system according to claim 6 , wherein the gob inspection system includes a plurality of line scanning cameras, inspects each of gob images from the respective line scanning cameras, and determines that the gob is a bad gob if, on the basis of at least one of the gob images, the gob is determined to be a bad gob.
14. The gob inspection system according to claim 7 , wherein the gob inspection system includes a plurality of line scanning cameras, inspects each of gob images from the respective line scanning cameras, and determines that the gob is a bad gob if, on the basis of at least one of the gob images, the gob is determined to be a bad gob.