Validating Solutions in Machine Vision Remains Necessary

Bin picking vision systems are a key element of manufacturing’s future and one that R&D teams are focusing on solving en masse in the current environment as well.

Creating a machine vision system capable of guiding and directing robotics is one of the necessary components of truly automated random bin picking — a long-sought goal of automation. Bin picking vision systems are needed to scan the bin containing the parts, scan the parts themselves, and then instruct the robot where to go and which part to grab.

However, a vision system is just one of several hardware components needed for automated bin picking. There is, of course, the central robotic arm that executes the task. Camera and vision components are needed to map out the container, parts, and the path the part needs to take from its bin to its destination. Also necessary to consider are the robot pedestal or base, PLC and other controls, end of arm tooling, and the load target area (where the part is placed).

Besides hardware, an assortment of technologies are also needed to work together to properly execute random bin picking including:

  • 3D modeling of the part, the bin, the placement target location, any environmental obstacles, and the robot end-effector
  • Bin picking software to coordinate all the data
  • Robot control software to maneuver the robot, its end of arm tooling, and the part along the route

There are many challenges to executing random bin picking through robotics. The arm must be able to grab parts deep within the corners of bins and pick them up despite an infinite number of part orientations and shapes. Avoiding collisions — with other parts, the bin, or the work cell itself — is another necessity. All of this is complicated by complex and easily entangled parts and poor lighting conditions common in production environments.

Clearly, bin picking vision systems are a vitally important part of the entire process. Designing and implementing such systems has become a primary focus for robotics and camera/vision companies across the globe.

Random Bin Picking Challenges: Learn more here about how and why fully automated random bin picking has remained elusive to achieve for manufacturers.

Feedall is Committed to Validating Bin Picking Vision Systems

Many companies are pursuing a machine vision system capable of meeting the demands in place for random bin picking, but the science is far from settled in this realm.

Many factors have led to a wide range of potential options in the space. There are designers who provide vision-only aspects (camera/imaging technology). There are those focusing on the software needed to process imaging. Some have promised an all-in-one solution, and others provide modular solutions.

Each organization is working with different approaches to imaging or camera technology and to incorporate multiple lighting offerings built around them. Self-reported cycle and recognition times, and some limitations, are often included in promotional materials, but verifiable, validated data on the actual performance of random bin picking vision systems is in short supply.

This lack of hard data pertaining to process characterization means that the field of potential solutions for a machine vision system capable of true random bin picking remains widespread and diverse. Until the field converges, around verified data, the ‘wild west’ nature of the field is likely to persist.

Feedall Automation has long been a leader in the most advanced line of custom automation equipment available. We’re already devising and developing solutions in machine vision systems that apply to automation.

However, because the science is not yet settled when it comes to bin picking vision systems, Feedall is committed to continuing to study and innovate in this space. We’ll continue to implement due diligence in finding the highest quality technology and remain open to testing and validation of multiple kinds of potential solutions related to machine vision systems and how they fit with industrial automation.

Feedall’s reputation of leading the industrial part feeding market is built on such rigorous standards. For instance, our Smart Bin Technology addresses many of the issues with random bin picking — when partnered with the appropriate vision and robotic system. This patented technology tackles many traditional bin picking challenges, such as long cycle times, complete bin emptying, robotic collision issues, and speed of visual recognition.

Robotic solutions: Discover Feedall Automation’s line of robotic automation accessories including part gauges and inspection machinery, pick and place units, and more.

Work with Feedall For Automation Solutions

With more than 75 years of success in delivering industrial automation solutions in multiple markets, Feedall Automation helps your business improve production efficiency, increase overall output and reduce operating costs. We have the expertise and experience to provide a competitive edge through automation in today’s challenging environment.

Feedall Automation customizes every piece of equipment we offer to fit your exact specifications and production goals. Our technicians and engineers provide the foundational knowledge needed to produce long-lasting automation equipment and the insight required to suggest the right additions that will augment the processes in your facility. Every piece of equipment we offer is backed up with parts availability, support services, and a best-in-class repair program.

When you partner with Feedall, you’re not simply engaging with a vendor for a one-off transaction; You’re collaborating with an automation expert that delivers proven part feeding and industrial automation solutions that can be integrated seamlessly into your production line. You’ll also be working with a company at the forefront in developing new solutions and solving problems related to manufacturing, such as finding proven bin picking vision systems.

Connect with us today to learn more about our capabilities and we can optimize your production facility.