Part.1 Application industry
With the continuous advancement of technology, 3D machine vision technology has gradually become a bridge between the real world and the digital world. 3D machine vision technology enables computers to perceive and understand heavy objects and scenes in three-dimensional space, and is widely used in robot guidance, industrial inspection and other industries, such as: logistics, e-commerce, education, medical care, chemical industry, food, home appliances, ceramics, sanitary ware , toys, car companies, ships, hardware, 3C, etc., have ushered in tremendous changes and innovations in all walks of life.
3D machine vision obtains the information of items through different perspectives, realizes operations such as precise measurement, ensures product quality, improves the production efficiency of enterprises, and brings broad space for the development of enterprises.
Part. 2Project background
The skid is an important tool for carrying the car frame during the painting process, which can ensure that the workshop production meets the specified standards. There are important points such as the top of the car and the locking block on the skid. If there is a deviation in the point, the car frame may not be placed on the skid correctly, resulting in a production accident due to insecure placement. Therefore, using 3D The vision technology detects the accuracy of the sled, which can monitor the position and shape of the sled and the contact condition of the car frame in real time, so as to ensure the smooth progress of the enterprise production line.
Part. 3 Application Scenario Description
The inspection station on the sled of the automobile factory is photographed by robot-guided 3D vision equipment: 4 pick-up vertices relative to the center (detection accuracy ±1mm), 4 shuttle locking holes relative to the center (detection accuracy ±1mm), 4 The relative height of the sensing block of each locking hole (detection accuracy ±1mm), the levelness Z of the two longitudinal beams, and the straightness Y (detection accuracy ±3mm), complete the automatic quality inspection function of the automobile skid.
Part. 4 Specific measurement location and description
1. The coordinates of four pick-up vertices. For the four pick-up vertices, identify the center of the circle as the detection point, and the measured coordinate value exceeds the tolerance range and is judged as unqualified.
2. The coordinates of the locking hole of the shuttle. The quadrilateral contour is required for detection, and the center point is identified as the measurement point.
3. Longitudinal beam horizontality Z, straightness Y.
4. Software construction. Robot communication; camera parameter adjustment; calibration; 2D display; 3D display; detection data display; database.