Similar SKU Treads were getting mislabeled before shipment. Some SKUs have very similar tread patterns but vary in width by only 1/2 inch. With the product being black rubber, imaging the product can be quite difficult, and with 100s of different SKUs, pretraining all the SKUs is not feasible.
An auto-guide interacts with the PLC to get the current SKU and opens/closes it to the appropriate width, allowing the tread to be centered over a combination of 3D laser displacement cameras. The tread is imaged as it passes over an encoder / grooved conveyor rollers. The image is converted into a 2D image and contrast-enhanced.
A Setup Wizard allowed the local QA staff to easily train a new SKU in less than 10 minutes. Vision Scripts are stored on a central repository, allowing all three finishing lines to use the same files.
Track and Trace dashboard allows QA to review inspection results and replay images in case of a future customer complaint.
Motor components are assembled in stages, with the base attached to a carriage that moves through the assembly line. After the rotor is mounted in the stator the alignment needs to be checked.
Due to inconsistencies in the placement of the motor base on the carriage and the tightness of tolerances, a single top-down view and gauge approach were not viable. A stereo camera setup allowed for the end of the rotor and stator to be individually identified in 3D space. From there concentricity measurement and plane parallelism could be calculated.