Tilt sensor calibration edge band You know how to calibrate modern detection technology.

Lead: What is a visual sensor? Simply put, the visual sensor mainly captures some information on the surface of the object through the installed camera, and then detects whether the quality, position or shape of the object meets the production standards. It can easily detect some information of the object from the extremely fine light or even the surface of the object. Hearing this, are you curious about visual sensors? Of course, Bian Xiao won't let everyone down. Next, please follow Bian Xiao with curiosity to find out.

The basic principle of vision sensor;

The vision sensor has thousands of pixels and can capture the light in the whole image. The clarity and fineness of an image are usually measured by resolution and expressed by pixels. After capturing an image, the vision sensor compares it with a reference image stored in a memory for analysis. For example, if the vision sensor is set to distinguish machine parts with eight bolts inserted correctly, the sensor knows that parts with only seven bolts or parts with misaligned bolts should be rejected. In addition, no matter where the machine part is located in the field of vision, no matter whether the part rotates within 360 degrees, the vision sensor can make a judgment.

Calibration of vision sensor

1. The calibration of vision sensor is mainly the calibration of camera. In order to quantitatively describe the optical imaging process, the following coordinate systems are defined: world coordinate system, camera coordinate system and computer image coordinate system.

2. The world coordinate system, also known as the real or real world coordinate system, has xyz axis and is the absolute coordinate of the objective world. Generally, 3D scenes are represented by this coordinate system, and the camera coordinate system is based on the center. The XYZ coordinate system takes the optical axis of the camera as the z axis. Computer image coordinate system refers to the coordinate system used for digital images in computers, generally taking un as the axis and pixels as the unit.

3. Camera calibration usually includes external parameter calibration and internal parameter calibration. External parameter calibration is to calculate the translation and rotation matrix of the camera coordinate system relative to the world coordinate system. In the calibration, we fix the two cameras on the same plane, make their optical axes parallel, and take the world coordinate system to coincide with the camera coordinate system of the first camera. In this way, the first camera only needs internal parameter calibration. According to the equations listed above, using the actual imaging points of three points, their corresponding evil image coordinates are measured. Then the default parameters of the camera are calculated by using the coordinate values of three points in the world coordinate system and the image coordinates of the actual imaging point.

The above is a concrete analysis of stereoscopic vision theory, which briefly introduces how Bian Xiao calibrated the vision sensor. With the rapid development of modern science and technology, as a visual inspection technology, its application in all aspects of society is still increasing day by day. Then, we should actively understand its related knowledge. Do you know the brief introduction of visual sensor calibration brought by Tuba rabbit Bian Xiao today? If you want to know more about him, please continue to follow us.

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