During the movement of the gloves, the high-speed camera completes the shooting, and the collected images are uploaded to the host computer for image preprocessing and then sent to the deep learning model for inference. The results of the model inference are sent to the system to classify the gloves into qualified or defective categories. . The equipment does not take any measures for qualified gloves and releases them to the counting machine for packaging; for defective gloves, the control system automatically controls the rejecting machine and counting machine to remove the defective gloves.
The detection efficiency is high, and the front and back sides of the gloves can be detected without turning them over.
It can quickly switch between different glove models. One device can detect multiple types of gloves, which solves the problem that one device can only detect one type of gloves in similar products;
Can meet various testing needs of customers.
Test items |
Appearance defects such as scratches, abrasions, chipping, end face damage, misalignment, cracks, bumps, crushing, missed processing, mixed materials, etc. |
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examination range |
Ø 5~100mm, |
Testing requirements |
The surface of the workpiece is clean and free of oil stains. |
Optical resolution |
0.03mm |
mean time between failures |
10,000H |
Detection speed |
5,000~20,000 pieces per hour |
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power |
1000W |
voltage |
220V, 50HZ |
size and weight |
1.0m*1.0m*1.8m / 250kg |
Equipment air source |
0.5MPa~0.8MPa |
System working environment |
Temperature: 5℃~30℃; Relative humidity: <70%RH |
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Other features |
1. Real-time display of detection status and NG product quantity alarm; 2. Equipment software has remote technical support function. |
(0571) 8616 8581 (7*24h客服热线)
+86-571-89987671 (周一至周五 8:30-17:30)