Machine Vision & Deep Learning Integrator
"Enabling clients to produce a quality product & gather data with
Industrial Machine Vision & Deep Learning technology"
Portfolio
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.
SOLUTION
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.
TAGS
Guidance, Identification, Pattern Matching, Consumer Products, PC-based Vision, Vision Guided Robotics
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.
SOLUTION
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.
TAGS
Guidance, Identification, Electronics, Embedded Vision, Vision Guided Robotics
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.
SOLUTION
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.
TAGS
Guidance, Identification, Life Sciences, PC-based Vision, Vision Guided Robotics
Car interiors are often customized for their material, trim, and user features. Variations may be subtle and batch runs are small. An end-of-line inspection system is needed to ensure the product that was assembled matches the build ticket.
SOLUTION
A camera with a bright field and dark field configuration was mounted to the end of an ABB robot. The operator loads an assembled car door interior onto an open nest and presses the Inspect bottom. The robot would move to 20 different locations on the backside of the car door interior, triggering the camera/lights, and then requested the operator to rotate the fixture. The robot then moved to 6 different locations, triggering the camera/lights for each.
A mock display is presented to the Operator for pass/fail of all zones. The operator had the ability to select a zone to see the image taken and individual pass/fail results for each Poka-Yoke item.
TAGS
Color, Gauging, Identification, Inspection, Pattern Matching, Automotive, PC-based Vision, Vision Guided Robotics
Machine Vision & Deep Learning Integrator