What Are The Applications Of Machine Vision in Industrial Robots

Machine vision is an important branch of artificial intelligence. Simply put, it is to use the camera instead of human eyes to judge and analyze the surrounding environment. It is widely used and can be used in intelligent manufacturing and many intelligent life fields. This paper will introduce the application of machine vision in industrial robots.
Vision is a relatively important way for us to perceive foreign objects, so that we can obtain a lot of information about the surrounding environment through visual perception without actual contact. When computers came along, people gradually began to try to give visual perception to machines.
Machine vision is a comprehensive technology that is essential for robots working in industrial applications. It can help industrial robots perform tasks needed to identify objects, and it can also help industrial robots and workers perform tasks together, and integrate information from visual sources and information from different sensors. These advantages promote the application of machine vision in industrial robots.
The role of machine vision in industrial robots
In recent years, with the rapid development of industrial robots, the demand for machine vision has increased significantly. Machine vision has played a crucial role in the development of industrial robots, and the degree of integration of the two is getting higher and higher. One of the main reasons for this trend is that cameras have become more rugged than ever before in harsh industrial environments.
If you want industrial robots to better replace workers for work, the first thing you should do is to let them see the surrounding objects. Machine vision is equivalent to putting a pair of eyes that can perceive the outside world on industrial robots, so that they can clearly see objects, and give full play to the function of human eye inspection, which is particularly important in highly automated mass production.
When the industrial robot has the ability to observe things, it can better judge things, so as to deal with various problems intelligently. Machine vision has a special processing system and computing system, as well as analog biological vision imaging technology and information processing methods, making the operation of industrial robots more flexible, while recognizing, comparing, processing scenes and generating operational instructions, so as to complete the action in one step.
Application of machine vision in industrial robots
1, barcode recognition: This application is mainly through machine vision to process, analyze and understand the image in order to identify a variety of different modes of target. Such as the identification of two-dimensional code, two-dimensional code is a more common bar code that we often see. The two-dimensional code stores a large amount of data information, and industrial robots can identify and read the bar code on the surface of various products through the machine vision system to achieve product tracking and management.
2, positioning objects: visual positioning is a relatively basic application in the field of machine vision industry, in order to achieve the detection of automated production lines and industrial robot guided grasp and placement, visual positioning in the machine vision system has played a very important role. For example, when loading and unloading robots, they can be positioned through the machine vision system to guide the arm to accurately grasp and place.
3, detection appearance: Inspection is one of the more important applications in the field of machine vision industry, industrial robots can detect defects, pollutants and other abnormal conditions outside the product through the machine vision system, and can also detect the bottle cap, bottle body and bottle shoulder in the food and pharmaceutical industry products through the machine vision system. To ensure the food and pharmaceutical industries match products and packaging in high volume production.
4, measuring the object: the measurement of machine vision can automatically measure the appearance of the object size, such as the surface area, volume, length and width of the object, and determine whether the measurement is accurate. Industrial robots can recognize objects through machine vision systems and calculate the geometric size of the object from the image, such as the inside diameter of the engine cylinder hole.