In this short article you will get an overview of the Bin Picking method, its various applications in practice and some solutions that you should consider for your own Bin Picking requirements.
Bin picking is the process of automatically identifying and removing items from a bin or storage area using robots.
This process is often found in manufacturing and logistics for tasks such as sorting and organizing objects, assembling products and packing and labeling items for shipping.
There are a variety of solutions for bin picking tasks, with machine vision being one of the most interesting and useful. A range of vision solutions can be identified, each with their own advantages and disadvantages. The best solution will depend on the specific requirements of the application.
In this article we will look at two excellent solutions for bin picking. We will also look at common problems and issues that can arise when implementing bin picking systems. In addition, tips for overcoming these challenges will be provided.
Whether you are just starting to explore the possibilities of bin picking or are looking to optimize an existing system, we hope this article will provide you with valuable insights and information. If you want to jump straight into the world of machine vision, check out Unchained Robotics' selection of vision tools here.
Bin picking can be a difficult task for a number of reasons. However, the biggest challenge is that the objects to be picked can be oriented in a variety of unpredictable directions, making it difficult for the robot to accurately identify and grasp them. The objects in a bin are usually stacked randomly on top of each other, making it impossible to predict which objects are where and in which orientation. If the robot tries to grasp one of these objects, it may displace others or even grasp more than one.
In addition, the objects may be stacked or piled close together, making it difficult for the robot to reach them. As you can see, bin picking is anything but easy!
Another challenge is that the objects picked can vary in shape, size and material, which can make it difficult for the robot to recognize and grab them accurately. Although this is relatively rare, most real-world use cases involve a single identical object in the container.
Another danger is that the environment in which the picking takes place may have poor or changing lighting conditions, which can make it difficult for the camera and vision software to identify the parts. This can of course lead to errors when removing the containers.
Finally, even if the robot manages all of the above tasks, it must be able to remove the parts individually. This is particularly difficult with workpieces with complicated geometries, as they tend to stick together.
Bin picking is a common task in manufacturing and logistics and occurs in almost all production areas. In manufacturing, bin picking is often used to pick up parts or components and transport them to a production line where they can be assembled into a final product. This enables efficient and automated production of goods, which can significantly increase efficiency and reduce the need for human labor.
In logistics, bin picking is often used to pick up and transport parcels or other items for shipping. This can help to improve the speed and accuracy of the shipping process and reduce the need for manual handling of parcels.
Bin picking is also used in other industries and applications, such as agriculture, where it can be used to sort and organize produce or other goods. In healthcare, Bin Picking can be used to pick up and transport medical supplies, pills and much more. The applications for Bin Picking are truly endless, the biggest obstacle so far has been the technology, but this has improved considerably in recent years.
Let's take a quick look at 2 incredibly powerful bin picking solutions that you can consider for your own production needs.
Cambrian Vision is an advanced vision solution that is designed to handle a huge variety of objects, including those that are dark, translucent or oddly shaped, and works in low light conditions.
One of the key benefits of the Cambrian Vision solution is its ability to handle objects that can be challenging for other bin picking solutions. This is made possible through the use of advanced imaging and machine learning algorithms that enable the system to accurately recognize and detect objects even in difficult environments (low light, changing light conditions, etc.). The solution can also handle black, dark, semi-transparent workpieces, which would be an obstacle for most vision solutions.
However, it is important to note that the Cambrian Vision solution requires a CAD file for each object to be processed and that extensive preparations must be made in advance to ensure that the system may not be suitable for capturing objects with significant variations in shape or size.
To work, the Cambrian Vision solution requires two cameras, which are normally mounted on the robot arm. It is very impressive to see this solution in the flesh as it demonstrates true bin picking capabilities at the highest level.
The Mech-Mind Mech-Eye system is a 3D vision system that is available in different variants. The series offers a wide range of working distances and fields of view and is software compatible with most major robot brands.
These cameras are designed to recognize a wide range of objects, including those that are small, complex or highly detailed.
Mech-Mind Mech-Eye units have two built-in cameras and integrated processing. They are available with special software that analyzes the objects in the container and identifies their position and orientation. The robot can then use this information to plan a path to best pick up the object.
One of the key differentiators of the Mech-Mind Mech-Eye camera system is its software. This software is compatible with the software of an impressive number of robot manufacturers , which makes the solution much easier to use.
Overall, the Mech-Mind Mech-Eye camera system is a highly effective bin picking solution that can improve efficiency and accuracy in a variety of applications. It is particularly well suited to workplaces where the objects to be picked may change relatively frequently.
In this article, we have provided an overview of the Bin Picking method and its various applications in production and logistics. We have discussed the different solutions for bin picking tasks, including vision-based approaches, as well as the advantages and disadvantages of each solution. We also looked at common problems and issues that can arise when implementing bin picking systems and gave tips on how to overcome these challenges.
Solutions such as the Cambrian Vision solution and the Mech-Mind Mech-Eye camera system are a great starting point for those ready to begin their journey into the bin picking world. Each of these solutions has its own unique features and capabilities and can be a good choice for different applications depending on the specific requirements of the task.