Presentation is loading. Please wait.

Presentation is loading. Please wait.

Machine Vision Applications Cae Study No. 5 Bottles and Labels.

Similar presentations


Presentation on theme: "Machine Vision Applications Cae Study No. 5 Bottles and Labels."— Presentation transcript:

1 Machine Vision Applications Cae Study No. 5 Bottles and Labels

2 The Product Square, clear, glass bottles Transported on a continuously moving conveyor Bottles are filled with a clear yellow fluid. Orientated so that the labels face the camera. Small multi-coloured labels –Block colours –Blending of colours Labels have three highly saturated colours: yellow, mauve and orange.

3 Lighting, Viewing and Camera Silhouette and fill level –Back-lighting (Methods 17 & 18) –Dark-field lighting (Methods 20 & 21) Labels (diffuse front lighting, Method 11) –Turbo-charged LED arrays Benefits Avoiding danger Camera –Line-scan camera Must measure conveyor belt speed accurately –Array camera with fast shutter Sensing bottle is in place –Proximity sensor can spoil the image

4 Radius of Curvature (Shoulder of a bottle)

5 Fitting a Circle to 3 Points D = 2*(Ay*Cx + By*Ax -By*Cx - Ay*Bx - Cy*Ax + Cy*Bx); Px = (By*Ax^2 - Cy*Ax^2 - Ay*By^2 + Ay*Cy^2... + Cy*Bx^2 + By*Ay^2 + Ay*Cx^2 - By*Cy^2... - By*Cx^2 - Ay*Bx^2 + Cy*By^2 - Cy*Ay^2 )/ D; Py = (Cx*Ax^2 + Cx*Ay^2 + Ax*Bx^2 - Cx*Bx^2... + Ax*By^2 - Cx*By^2 - Bx*Ax^2 - Bx*Ay^2... - Ax*Cx^2 + Bx*Cx^2 - Ax*Cy^2 + Bx*Cy^2 ) / D; R = sqrt((Ax - Px)^2 + (Ay - Py)^2);

6 Fitting a Polynomial Curve (to the shoulder of a bottle)

7 Bottle Shape Measurements Symmettry Parallel & vertical sides Radius of curvature of shoulder Neck prfile and diameter Height Mouth diameter Rim thickness

8 Viewing Stress Use two crossed polarisers (Method 52)

9 Embossing and Cracks Back Illumination (Method 18) Also works well for “birdswings”


Download ppt "Machine Vision Applications Cae Study No. 5 Bottles and Labels."

Similar presentations


Ads by Google