Challenges:
1. The defects in the optical guide strip were manually detected before. This method is time-consuming and laborious, and it is difficult to ensure the consistency of detection quality.
2. The structure of the optical guide strip is slender and the rigidity of the fixture is large. When fixing the light guide strip, the fixture is easy to scratch, squeeze, or even break the light guide strip;
3. The use of automatic equipment to detect the light guide strip needs to ensure that the equipment is simple, easy to use, stable and reliable.
Solution:
In view of the common problems in the process of optical guide strip detection, a scheme of JAKA Zu 3 and machine vision was proposed. The specific scheme is as follows:
1. Design visual inspection equipment, and the equipment adopts the architecture of "JAKA Zu 3 + camera + PLC + special fixture". Among them, the fixture is responsible for fixing the light guide strip, the robot is responsible for movement, the camera is responsible for scanning, and the PLC is responsible for displaying the detection results. This equipment is simple in structure, stable and reliable, and easy to use;
2. The equipment uses visual algorithm to detect the defects of the optical guide strip to ensure the consistency of the detection quality;
3. Design elastic fixtures. At the same time, soft plastic is installed at the end of the fixture to avoid scratching, squeezing and breaking the optical guide strip when the fixture is clamping.
Project Results:
1. Automatic equipment detects light guide strips, which are simple to use, stable and reliable, and have a wide range of market prospects;
2. Replace manual work and improve the stability of detection.
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