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Solomon AI Offers a 3D Vision Solution to Make the Robots More Intelligent

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John
Solomon AI Offers a 3D Vision Solution to Make the Robots More Intelligent

Industry 4.0 is around the corner and manufacturers all around the world are gearing up for it. This is where automation and computers will be taken into a whole new dimension. Robots that are connected to each other remotely via a computer system can be more intelligent. Such robots will also be in a position to make intelligent decisions based on machine learning. This would improve the overall productivity of the robots. On top of that, it is possible to improve the monitoring of highly advanced manufacturing processes as well.

To get a better understanding about it, you may take a look at random bin picking. It may look like an easy thing for the humans to do. However, it is not going to be an easy task for humans. However, the AccuPick 3D System from Solomon is capable of doing bin picking along with a very high recognition rate. The job is done quickly as well. One of the reasons behind its effectiveness is the presence of a 3D scanner. This 3D scanner is capable of generating high quality images at a very high speed. On the other hand, the system is also capable of recognizing complex objects and shapes with a high level of precision and efficiency.

What makes Solomon AI innovative?

The planning module of AccuPick come along with the ability to target different applications specifically. Based on this, it is possible for them to maneuver different items effectively. These applications can be found out of bin in industries as well. For example, we can see applications in machine tending, food packaging, electronics, automotive components, and in warehouse applications. Moreover, the system is capable of working in complex environments as well. Some of the most popular robot brands out there, such as Kuka, Yaskawa, Staubli, Fanuc, and ABB are using them.

Complex activities like sealing, assembling, welding, and inspection can be complex or time-consuming for robots. Solomon's 3D vision guided robot solution, simplifies these seemingly difficult processes by recognizing unique characteristics to establish the three-dimensional location and orientation of a workpiece precisely and quickly. This will benefit manufacturing industries in the long run. Factories are capable of reducing overheads and improving productivity due to the presence of these technologies. On the other hand, it is also possible to get the maximum returns out of money that is invested as well.

All that is necessary is for the Solscan 3D scanner to capture a snapshot of the workpiece, after which the software matches and calculates the appropriate paths for the robot to follow. Sealing automobile components, bonding footwear parts, quality checking of metal or plastic injection items, and welding motors are only a few examples. The number of applications around this are increasing along with time as well.

It has a powerful software as well

Solomon’s AI-based machine vision software can handle inspection challenges in industrial settings for faults and characteristics with irregular patterns such as hard-to-define scratches, stains, fractures, and many other sorts of imperfections. Deep learning software eliminates the need for lengthy coding to examine numerous sorts of errors.

Only a few samples are required to classify fault categories for machines to learn, simplifying inspection jobs and saving considerable amounts of time for engineers to create algorithms. Another benefit of Solvision is its smooth interaction with various robotics, including six-axis and SCARA robots, as well as Solomon's 3D Solscan scanner and software, allowing examined items to be automatically separated.

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