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| Brand Name : | KEYE |
| Model Number : | KVIS-B |
| Certification : | NO |
| Price : | Negotiable |
| Payment Terms : | L/C, T/T |
| Delivery Time : | 4 to 6 weeks |
| Supply Ability : | 1 set per 4 weeks |
Inspection Principle
Judging from the existing pharmaceutical manufacturing enterprises, they are all developing at a relatively rapid rate. The speed of mergers and reorganizations in the pharmaceutical industry has accelerated. Such a speed of development will put forward higher requirements for the production capacity and product quality of pharmaceutical packaging companies. Changes in external market demand will promote the development of pharmaceutical packaging in the direction of large-scale development, which poses a great challenge for pharmaceutical packaging companies.
The design plan for our company is equipped with 6 sets of 200W pixel black and white industrial cameras, a cap organize machine to realize a full range of defect detection on the concave, trademark and side of the bottle caps. The normal detection speed is 500 pieces per minute; The front part of the detection machine can be equipped with a set of organize conveying equipment to transport the bottle caps into the detection equipment in a regular and orderly manner. The detection equipment is divided into 3 major detection system modules: the first module is to realize the defect detection function in the concave and the side of the cap.
Detection software function:
| Model | Camera number | Detection range | Detection content and accuracy | Detection precision | Accuracy of detection | Detection speed | Remark |
| KVIS-CC06 | 4 sets | Outside area | Black spots≥0.2mm | 99.5% | 99% | 500 pcs/min | |
| 0.5mm＜overlap and lack of material≤1mm | 99.5% | ||||||
1 set | Concave area | 0.5m＜lack of material≤1mm | 99.5% | ||||
| Black spots≥0.2mm | 99.5% | ||||||
| 2mm＜Deformed | 99.5% | ||||||
1 set | Trademark area | Black spots≥0.2mm | 99.5% | ||||
| Note: This equipment adopts 2 million pixel level industrial cameras. | |||||||
The pictures of the collected samples are as follows (reference pictures):
Machining Process
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