One of the newest developments in robotics and automation is something called "robotic vision." Robotic vision is an advanced technology that aids a robot in performing tasks such as object recognition, navigation, localization, inspection, and manipulation.
In most cases, robot vision relies on a complicated web of algorithms, calibration, and even temperature sensing devices. Robotic vision is advancing in more refined and efficient ways at the same breakneck pace as the rest of technology.
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This innovative technique can lessen running expenses and answer any robotic or automation problem quickly. When two or more robots are working in close proximity, the use of robotic vision technology ensures that they will not collide. The robots being able to "see" any humans who might be in their path increases the human workers' safety.
Introduction to Robotic Vision
Numerous operations are within the capabilities of robots equipped with robotic vision technology. There are two basic steps involved in the process of robotic vision, which are -
One is the imaging process that relies on the robotic vision system, which is utilized to "see" or do scans. Line scanning, barcode scanning, 3D imaging, and even X-ray imaging are all within its capabilities for a thorough inspection.
The second one is Image processing, where the robot thinks about the image it has just seen and analyses the image with all the coordinates, which is known as "image processing." Here, Edges are located and detected, obstructions are identified, pixels are counted, objects are found and manipulated in accordance with their programming, patterns are recognized, and the images are processed in accordance with those specifications.
This procedure and the algorithm controlling the robot's movements determine if a certain part is built, a defect is found; a product is scanned and recognized, etc. In addition to its widespread application in the automotive, industrial, manufacturing, food and product packaging, and components assembly industries, robotic vision technology has virtually limitless potential for further development and deployment.
Applications of Robotic Vision –
There are various applications of Robotic Vision technology, out of which some of them are listed below -
- Measurements
- To scan and read barcodes
- Inspection of Engine Components
- Examining the Packaging
- Testing the Quality of Wood
- Checking the Outer Layers or surfaces
- Facilitating and verifying the proper placement of parts and sections
- Defects inspection
Now, as we have seen some important information about the applications and steps included in the robotic vision process, let us now understand how this robotic vision works.
How does the robotic vision work?
Robots have built-in cameras that allow them to "see" or analyze the coordinates that help the system navigate. The robotic arm itself will have at least one robot vision camera, acting as the machine's "eye." Extra cameras may be set up in the robot's workspace in circumstances when more eyes are needed. With this configuration, the camera can see more of its surroundings and collect as much visual data as it needs to work effectively alongside human workers. Most often, such robotic vision cameras have 360-degree vision, which helps them to have a wide range of vision for the effective functioning of the device.
It is necessary to train the machine to recognize the objects it will encounter before it can be put into action. The robot's camera can scan an object in three dimensions with six degrees of freedom. The image will be saved in the robot's memory and used to activate predetermined sequences of motion and action.
Now, after having the information about robotic vision and how it works, now let us understand the exposure of robotic vision in the global market.
Global Exposure to Robotic Vision
Multiple businesses in the Robotics Vision Market vie for the attention of the same or repeated customers, due to which the competition is fierce in this sector. With the help of cutting-edge innovation, the new entrants have successfully marketed their wares. With several interesting factors, robotics and machine or robotic vision are one of the most rapidly expanding sectors in the global market, earning a substantial market share.
Autonomous robots using computer vision algorithms and machine learning techniques are the cutting-edge version of robotics research and development. Algorithms based on machine learning allow robots' eyes to detect and catalogue the world around them, allowing the robots to respond appropriately. However, instead of using algorithms, the computer vision-based system uses sensors to process images.
According to published market research reports on robotic vision, the global robotic vision market is said to have a growth rate of 12% over the forecast period 2017 to 2023, earning exceptional revenue figures that are predicted to reach USD 9 billion.
Robotic vision is more than a fivefold increase in manufacturing and warehousing, and the food processing industry is predicted to have a blistering growth for robotic vision during the next decade. Also, there will likely be a rise in interest in autonomous vehicles among car buyers that utilize self-driving technology that implements such robotic vision. Potential uses for these systems include passenger transportation as well as the conveyance of commodities for businesses.
Additionally, robotics technologies are being rapidly used by the healthcare sector in a wide range of areas, including surgery, medical imaging, pharmaceutical manufacturing, and healthcare information systems. Increased usage of robotic vision in these sectors, along with the military, logistics, and manufacturing, are expected to make the robotic vision market grow in the near future.
