Robotic vision system VS. computer vision system

Industrial Automation can save Australian industry
Industrial Automation can save Australian industry
13 May 2022
Monolithic SCADA systems
SCADA architecture, legacy to modern structure
26 May 2022

Robotic vision system VS. computer vision system

Robotic vision system VS. computer vision system

In this article, Controlhub discusses the differences between robotic system vision and computer vision system.

Robotic vision system VS. computer vision system

Robot vision or robotic vision is closely related to machine vision. They have a lot in common when it comes to computer vision. Computer vision could be considered their "father" if we are talking about a pedigree. However, to understand where they all fit into the universe, we must first add the “grandparent” - signal processing.

Signal processing is the process of cleaning up electronic signals, extracting data, preparing it for display, or converting it. Something, in every sense, maybe a warning. Images are basically a two-dimensional (or more) signal.


What is robotic vision System?

The approach of processing, characterising, and decoding data from photos results in visual robotic arm guidance, dynamic inspection, and enhanced identification and component location capability, called robot vision or robotic vision. The robot is programmed via an algorithm, and a camera, either attached to the robot or to a fixed location, captures the image of any workpiece it can communicate with.

The robotic vision feature became created in the 1980s and 1990s. Engineers developed a method to teach a robot to see. The piece is rejected if it does not complete the formulation and the robot cannot handle it. this is most used in material handling and selection applications in the packaging industry, picking, deburring, grinding and other industrial processes.


Vision Guided Robotic Systems

robotic vision is one of the latest advances in robotics and automation. Essentially, robot vision is a sophisticated technology that helps a robot, generally an autonomous robot, recognise objects, navigate, locate objects, inspect and manipulate components or parts before running an application.


Vision algorithms for mobile robotics

robot vision typically uses various sophisticated algorithms, tuning and temperature sensors, many with varying degrees of sophistication and implementation. The perception of robots is continually evolving and evolving more smoothly, just as the technology becomes increasingly complex.

This innovative however simplified technology reduces operating costs and gives a simple solution for all sorts of automation and robotics needs. while equipped with robot vision technology, robots operating side by side will not collide. Human workers might also be safer, allowing the robots to "sense" any workers in the way.

The robot vision mechanism includes two primary steps:

  • Imaging

Scanning or "reading" is done via the robot using its vision technology. essentially, second objects such as lines and barcodes as well as 3D and X-ray images are scanned for inspection purposes.


  • Image processing

The robot "thinks" about the object after recognizing it. This processing includes identifying the edge of the image, detecting the presence of a break, counting pixels, manipulating objects in line with requirements, pattern recognition and processing according to their program.


Architecture of the robotic vision system

each robotic vision system operates under the following six-tier architecture:

  • Perception - process that gives rise to a visual image.
  • Pre-processing - noise reduction, detail enhancement.
  • Segmentation - partitioning an image into an object of interest.
  • Description - Calculation of features to distinguish objects.
  • Recognition - process of identifying objects.
  • Interpretation - assigning a meaning to a group of objects.


Robot vision applications

Robots are static and restricted to executing given paths in incredibly regulated environments without a vision system. The fundamental aim of a robotic vision system is to allow slight deviations from pre-programmed paths while maintaining output.

Robots can account for variables in their working environment if they have a sound vision system. parts do not have to appear in identical order. Carrying out inspection operations during the process, the robot can ensure that the mission is carried out correctly. While industrial robots are equipped with sophisticated image processing systems, they become even more dynamic. The main motivation for the application of robotic vision systems is flexibility.

Robot vision robots can perform a variety of activities including:

  • Take measurements
  • Read scanners and barcodes
  • Inspection of engine parts
  • Inspection of the packaging
  • Assessment of the consistency of the wood
  • Examination of the surface
  • The alignment of modules and parts is controlled and checked
  • Error checking
Computer vision in robotics and industrial applications

Computer vision is an interdisciplinary research discipline that studies how computers can interpret artificial images or videos at a high level. From a technical point of view, its goal is to understand and simplify the functions that the human visual system can do.

Examples of computer vision tasks include methods of gathering, encoding, decoding, and interpreting visual images, as well as retrieving high-dimensional data from the physical world to obtain numerical or symbolic knowledge, such as in the form of decisions.

In this case, understanding refers to the conversion of visual representations (retinal input) into descriptions of the world that are meaningful to thought processes and evoke effective action. The solving of symbolic knowledge from image data using specific multi-domain models built using geometry, physics, statistics, and learning theory, known as image understanding.

The philosophy behind artificial systems that derive knowledge from images is the subject of computer vision, a scientific discipline. Video loops, different camera views, and multi-dimensional data from a 3D printer or medical scan data are also examples of image data, and computer vision is a field of science that aims to apply its ideas and models to its development.


Application of computer vision in robotics

Examples of applications include machine vision devices examining bottles racing by on a production line, exploring artificial intelligence, and machines or robotics that can sense the world around them. computer vision is a broad term that refers to the fundamental digital image processing technology used in numerous applications.

Computer vision devices can be used for a variety of purposes including:

  • Automated inspection in manufacturing applications
  • Use of a species recognition device to assist humans in identification activities
  • Control processes with the precision of an automotive robot
  • Detect video surveillance activity or count the number of participants
  • Interaction between computers and humans
  • Medical imaging or topographic modelling
  • Navigation of a self-driving car or a mobile robot
  • Organize files, e.g., B. Indexing of image and image sequence databases

Leave a Reply

Your email address will not be published. Required fields are marked *