Globally, the most prosperous manufacturers depend on automated systems. Rapidly changing markets demand ever evolving solutions to keep up with global needs. Control System Technology can help your company accelerate production in the most economical way possible.
As an authorized system integrator of Fanuc Robots, CST thrives on creating unique and individualized robotic systems that meet and exceed your needs. We have developed robotic systems with standard and machine learning vision systems for pick and place applications, welding applications, palletizing systems, machine tending systems, sorting systems, and various other custom machines.
Control System Technology uses well known, proven systems from expert industry suppliers. These top-of-the-line machines are then programmed, modified, and supplemented with a variety of applications. CST’s ability to integrate robots with the highest quality hardware, software, vision and machine learning systems while assimilating them seamlessly into unique processes is what sets us apart.
Vision Systems- checking & rejecting, sorting, or identify issues, works as a QA system.
Vitamin sorting application: For this project, CST programmed a vision system to identify each individual pill by its color, shape and size. The vision system then communicates with a robot, which we programmed to pick up each pill and place it in a tube corresponding with each pill number. With over 99.9% accuracy and the ability to count and sort over 90 pills per minute, our system was a success!
Chute Loading: This process uses a vision system to identify and sort boxes by brand. Like many projects, one main factor at play was flexibility. What happens if there are boxes that the vision system is not programmed to recognize? After installing the new system, our employees provide hands on training for customer convenience. Beyond an in-person training, our staff created a detailed manual explaining all parts of the system installed. The manual for this system included everything from hardware layout to a template on how to update the vision system programming. This means that even without additional assistance, this customer is able to update their process as work evolves. Efficiency for our customers is always our ultimate goal. But if anything comes up, CST is always just a phone call away.
Potato Sorting – Using a machine learning vision system to identify defective potatoes. MLVS will identify each potato and momentarily decide if it is good or bad. If it is deemed defective, the coordinates are sent to the robot, which utilized line tracking operations to pick the defective potato off a moving conveyer belt using a soft picker to not further damage the potato.