Vane Plate Placement Error Detection Using Machine Vision

The main objective of this thesis is to understand, how machine vision can be efficiently applied to detect the directional placement error of the vane plates in the rotor of the “Vane pump” and also to detect the nonplacement error of the vane plate of the rotor. Though the plates can be inserted manually, but many a times due to repetitive operation there might be errors caused which can simply be eliminated by using a simple machine vision system during testing process after assembly of the vane plates in the rotor. This is basically carried out to help the manufacturing industries, solve their simple yet, critical problems easily. Due to which one can easily minimize the loss of cycle time and economy, as a result there would be tremendous increase in the production.