Proceedings of the 6th International Conference on Robot Vision and Sensory Controls, 3-5 June 1986, Paris, FranceM. Briot, Maurice Briot |
From inside the book
Results 1-3 of 6
Page 32
... grid of well defined lines and small spacings applied to the surface of the material . Strains can then be determined by measuring the changes in the dimensions of the grid pattern ... grid patterns on both strained and unstrained materials ...
... grid of well defined lines and small spacings applied to the surface of the material . Strains can then be determined by measuring the changes in the dimensions of the grid pattern ... grid patterns on both strained and unstrained materials ...
Page 34
... grid circle method of measuring strains . Since circles have no preferential ... pattern is a matter of personal preference . Circles can be separate ... grid composed of butting circles gives thick lines at junctions and spaces elsewhere ...
... grid circle method of measuring strains . Since circles have no preferential ... pattern is a matter of personal preference . Circles can be separate ... grid composed of butting circles gives thick lines at junctions and spaces elsewhere ...
Page 35
... grid pattern . ( Figure 6A , 6B ) . The best grid pattern was produced when the pad was soaked in the electrolyte and then well wrung out before being placed on the stencil ( Figure 6C ) . The optimum density setting was medium and the ...
... grid pattern . ( Figure 6A , 6B ) . The best grid pattern was produced when the pad was soaked in the electrolyte and then well wrung out before being placed on the stencil ( Figure 6C ) . The optimum density setting was medium and the ...
Contents
Systems integration in commercially available robotic vision systems | 1 |
Identification of multicoloured objects using a vision module | 21 |
Fibre optic colormetric sensor | 41 |
Copyright | |
12 other sections not shown
Other editions - View all
Common terms and phrases
accuracy acquisition algorithms alveole analysis angle applications assembly automatic Automation axis binary image calibration camera car body cell color components computer vision cone contour conveyor coordinates desired velocity detection detector device dimensional diode electronic environment error experimental feature feedback Figure filter frequency grid pattern gripper hardware illumination image processing Industrial Robots integrated interface laser diode light source machine machine vision manganin matrix metal method mobile robot module monitoring node object obtained operation optical optical fiber orientation output parameters path phase measurement photodiode PIN diode pixels position printed circuit board problem Proc produce recognition reference resolution retroreflector Robot Vision robot welding rotation scanning segments servo shown in Fig signal spatial speed sub-system surface tactile sensor target techniques threshold tracking trajectory triangulation values vector velocity profile vision sensor vision system visual voltage welding window