Technology is constantly changing, and AI is steadily improving. However, bin picking has remained one of the most elusive challenges in the sector. A robot that can “bin pick” can identify and grasp random objects out of a bin and remove them. It’s incredibly complicated, and 3D machine vision helps robots come closer to this goal.
Robots are expected to pick up items from a bin, but this can be much more complicated for a robot than for a human being. Many of the robots cannot accomplish their tasks without some 3D machine vision that can help them differentiate between objects, especially if a bin is disorganized.
What Is Bin Picking?
There are many situations where robots are expected to tell the difference between specific objects and reach for those objects in a bin. It has been quite difficult to automate this process because these robots often cannot distinguish between particular objects, which can slow up manufacturing.
The ultimate goal is for robots to use 3D vision to be able to “bin pick” from randomly distributed materials. This would solve the “bin picking” issue that currently plagues the robotic sector.
What Is 3D Machine Vision?
3D Machine Vision refers to the ability of a robot to recognize, pick, and place parts from a bin in a certain way for a production line. A robot produces a “point cloud” of images and the surrounding area, and they require a lot more technology than your average camera.
With the right lighting, robots can now use machine vision to detect objects and determine the most efficient way to remove them from a bin. Many experts believe that 3D machine vision will be a game-changer in terms of automating production and increasing efficiency for the manufacturing sector.
How 3D Machine Vision Solves Bin Picking Challenges
There are many costs and challenges associated with the manufacturing industry. Robots already play a critical role in the sector. Robots are often instructed to pick up parts at specific locations, but 3D Machine Vision allows robots to remain more “flexible” regarding bin picking.
A 3D Machine Vision camera produces a point cloud map, which gives the robot more data. The robot can then use digital imaging and digital processing technology to determine how to navigate to the bin and remove the parts. 3D machine vision allows for a new level of bin picking flexibility, and robots can now retrieve objects of different sizes, shapes, and materials efficiently.
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