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.
When customers are finished with a laser ink cartridge, they often send it back using the return box provided with new cartridges. These cartridges are returned to centralized recycling centers across the country by the truck loads. Used cartridges are removed from their packaging and thrown onto a conveyor belt for manual sorting. As volumes steadily increase, additional workforce is required to aid in the sorting. Since the recycling center is credited for each cartridge processed and specific cartridges have a higher number of recyclable components than others, an accurate count of models is highly desired.
PC-based vision system monitors the conveyor for cartridges as they enter into the field of view. At this point, it makes note of the cartridge's encoder location and its orientation. Using a blob tool, the system pre-classifies cartridges based on their shape using a high-end multi-core processor for parallelized pattern matching. Subsequent secondary pattern matching is performed in some instances to identify other key markers when subcategorization is required. A local register retains counts of each cartridge identified. Encoder location, orientation, and cartridge ID are passed to a spider robot to pick and place the cartridges into large bins. Multiple instances and orientations of well over one hundred cartridges were trained into the system.
Pocked waffle packs are used by pick and place machines in an electronic assembly. End user desired to have a machine that could handle various gold solder pad sizes and have 1 and only 1 gold solder pad placed into a single pocket for a waffle pack.
Gold solder pads were loaded into an Asyril vibratory feeder that would spread the product out for a vision system to identify a singulated solder pad. The robot would pick the solder pad up via suction cup and present it to another camera that would identify orientation and offsets. Using the x,y, and rotation offsets the gold solder pad was placed into the waffle pack.
Seeds are collected and manually placed into a 96-well plate with gaps left open for control samples. These blocks enter into a machine that crushes the sends, which are then transferred over to another machine for genetic testing. The process of manually placing the seed in most, but not all wells of the test plate, is tedious and prone to mistakes. Also, it is important that one and only one seed is deposited in the appropriate well.
Seeds were dispensed into a small backlit bowl, A camera identified a single seed, with sufficient free space around it, so that a pick and place robot with a vacuum tip can move the seed from the bowl into one of the test wells of the 96-well plate.
A secondary camera, verified only one seed made it into the well of the plate. Certain seeds were prone to clog or gum up the surface of the vacuum tip and the secondary check verified compliance.