
Add to Cart
Inspection system description
After the system collects the sample images, the image processing software and the standardized sample are compared and analyzed to determine the good and the defective products. The detected defective products are automatically eliminated online. After the finished product is detected, the counting function can be realized, and the counting accuracy rate is 100%. The software will open the sample comparison standard, and the production personnel on the customer site can control the comparison accuracy and choose the accuracy standard most suitable for their own production conditions, thereby controlling the defect rate.
Model | Number of camera | Inspection scope | Inspection content | Detection precision | Accuracy | Capacity |
KVIS-B | 1 | Bottle lip | black spot>0.2mm | 99% | 150/min | The capacity depending on the testing samples |
(burr,flash)>0.5mm | 99% | |||||
1 | Bottle base | black spot>0.2mm | 99% | |||
burn spot>0.5mm | 99% | |||||
4 | Bottle body | black spot>0.2mm | 99% | |||
yellow spot>0.5mm | 99% | |||||
1 | Outside of bottle base | black spot, stain, impurity(different color) | 99% | |||
Injection point offset | 99% | |||||
hole(through holes, no adhesion in the hole) | 99% |
Inspection performance as follows
Equipment Overviwes
Item | Bottle Inspection System | Main Material | Stainless steel |
Software Algorithm | Deep Learning | Voltage | Ac220/50Hz |
Voltage | 2kw-4kw | Air Pressure | 0.5-0.8Mpa |
Transfer Method | Lossless Delivery | Detection Status | Online Real-Time Detection |
Detection Method | High-Speed Industrial Camera | Number Of Camera | Depending on the specific situation |