Xinxiwang explains the classification of machine vision technology

In machine vision technology, image acquisition is the most basic and also a very important part, which determines the recognition and detection of later images, which can be mainly divided into three categories:

1, monocular vision technology, that is, install a single camera for image acquisition, generally only two-dimensional images can be obtained. Monocular vision is widely used in the field of intelligent robots. However, because this technology is limited by low image accuracy and data stability issues, it needs to work with other types of sensors such as ultrasonic and infrared sensors.

2, binocular vision technology, is a way to simulate the human eyes to process environmental information, through two cameras from the outside world to collect one or more images of different perspectives, so as to establish the three-dimensional coordinates of the object to be measured. Binocular vision technology is roughly divided into robot arm visual control, mobile robot visual control, unmanned aerial vehicle visual control and other directions.

3, multi-vision technology, refers to the use of multiple cameras to reduce the blind area, reduce the chance of error detection. This technology is mainly used for measuring the motion of objects. In terms of hand-eye coordination of the robot arm, multi-vision technology can overcome the blind area of object capture and make the robot arm grasp more effectively. In the field of industrial robot assembly, multi-vision can also accurately identify and locate the object under test, thereby improving the intelligence and positioning accuracy of the assembly robot.