What Is Robot Vision and How Does It Work

Robotic vision technologies enable machines to see with the use of a camera

There are several myths surrounding robot vision systems. It is commonly assumed that integrating a vision system is complex, costly, and challenging. Furthermore, dependability is called into question. The introduction of new Robotic vision technologies such as machine learning and artificial intelligence has reduced prices and made it easier to apply vision.  

How does robot vision function?

The integration of one or more cameras into the robotic system is how robotic vision works. A camera is installed on the end of the robotic arm, which serves as the machine's eye. Alternatively, the camera might be installed independently of the robot. These cameras and the software that goes with them can distinguish things and scan barcodes and QR codes. During programming, the robot learns to recognize the items and codes with which it must interact. They are scanned in 2D or 3D and saved in the program. It is thus feasible to assign them particular duties.

Robot vision capabilities: An integrated vision system opens up new possibilities for robots that did not previously exist. Robots having cameras, for example, may perform visual inspections, sort things, and take measurements.

As a result, a robot could determine whether or not the items were properly assembled at the end of an assembly process. An examination of a motherboard after it has been soldered is an excellent illustration. In order to sort products, the robot learns whether they meet or do not satisfy quality criteria. Sorting may also be done using QR codes or barcodes, which can be highly beneficial in logistical procedures.

Advantages of Vision: Apart from the fact that the robot learns a variety of new jobs, vision provides a lot of benefits for routine activities. For example, consider the setup of a reasonably simple pick-and-place machine. The most difficult aspect of getting such a setup to function is that the objects are always given to the robot in the same way and in the same spot. This implies that devices or structures, such as a feeding system, must be installed to eliminate randomization and ensure that the robots know exactly where the thing is.

Many types of cameras: Before deciding to begin using robotics vision, it is important to consider exactly what is required, as not all vision solutions are the same. The cost, flexibility, convenience of use, and software capabilities vary.

2D Cameras: 2D cameras are the most affordable, but they are also the least feature-rich. They can determine an object's length and breadth but not its height.

3D Cameras:  All three dimensions may be determined with 3D cameras (length, width, height). This provides the robot with several options but at a cost. 3D cameras are the costliest on the market, and they are somewhat less reliable than 2D cameras. Because a 3D camera can calculate the height, it is great for varying height items or stacking products. Consider palletizing and packaging crates.

Pre-installed vision: Techman Robot's collaborative robots are the only ones on the market with an integrated AI system. They are built into both the hardware and software. Pattern matching, object localization, barcode scanning, and color recognition are thus quite simple to develop with a Techman.