In the coming years, there will be an increase in the number of industrial robots installed around the world. Automated 3D vision is an emerging trend in robotic work cells. The robot can use this technology to determine the location, size, depth, and color of an object. Logistics, food processing, life sciences and manufacturing are among the industries that are automating their operations.
3D VISION METHODS
When it comes to vision technology. The application, team, product, environment, and budget will influence how the vision is integrated into the process. When it comes to putting real-time 3D images on a robotic system, there is no standard. However, vision integration practitioners use some common strategies, each tailored to benefit different jobs. Stereo vision, time of flight (TOF), laser triangulation and structured light are some of the techniques used.
A laser scanner emits a beam of light through which objects travel. As the object passes, a camera positioned at an angle records an image of the laser line, distorting the beam and forming a profile of the object. It’s laser triangulation.
To project a pattern onto an object, a projector creates a thin band of light. To create a 3D representation of the item, cameras from various angles examine the many curved lines of light. What is known as Structured Light.
A high-power laser scanner in a camera is used to beam reflected light from an object back to the image sensor. The time delay between the light sent and the light received is used to calculate the distance between the camera and the object. That is Time of Flight, in English (ToF)
Stereo vision is a robotic system that uses two cameras to record the identical 2D view of an item from two separate viewpoints. The software then analyzes the coincident points in the two planar images to discover differences and generate an image based on the established position of the two cameras.
The modern industrial robot must be able to detect objects, recognze parts and hold components at the proper angle. Modern robotics can determine the location of the item by coordinating repairs. 3D robotic vision is used in a food processing industry to inspect product for spoilage. De-palletizing applications scan full pallets of various types of shipping boxes using 3D vision components. The use of vision technology is expected to grow in the future, with future trends in logistics applications forecast.
The most coordinated automation systems have more than a single automated control system and integrated components. When it comes to incorporating advanced 3D vision options such as object tracking, product profiling, and container selection into a process line, the system must generate 3D image data. A risk assessment study is the only way to identify and eliminate problems in a system that could be at risk of malfunctioning.
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