Visual Inspection System for Plastic Alaska Cap with Machine Vision
Technology
Equipment overviews
Item | Alaska cap inspection machine | Main Material | Stainless steel |
| Software Algorithm | Deep Learning | Voltage | Ac220/50Hz |
| Voltage | 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 |
Inspection principle
The bottle cap inspection machine adopts machine vision technology
to measure, judge and analyze the detected object with the machine
instead of the human eye. To a dedicated image processing system,
according to pixel distribution, brightness, color and other
information, converted into digital signals.
The image system performs various operations on these signals,
extracts the characteristics of the target, and then controls the
action of the equipment on the spot according to the judgment
result of the set standard, and the unqualified products are
automatically rejected. In this way, the detection process can
realize automatic feeding, automatic detection, automatic sorting,
unloading, packing, packing and other system operations, and the
detection work is more efficient and fast.
Features of system
The AI inspection system integrates lid feeding and handing
equipment, conveying mechanism, visual system hardware and
inspection software, and defective product rejection device. The
maximum inspection speed is about 30,000 pieces/hour, and the
equipment can achieve 7*24 It runs 24 hours a day, which greatly
improves production efficiency.
The inspection equipment is equipped with a total of 6 sets of
high-pixel industrial cameras to comprehensively detect the
appearance of defects of the product. After the system collects
sample images, the image processing software is compared with
standardized samples to determine good and defective products, and
the defective products are automatically eliminated online.
Inspection standards
| Model | Number of camera | Inspection scope | Inspection content | Detection precision | Accuracy | Capacity |
KY-PC | 1 set | Concave surface | Black spot (color different) | ≥0.2mm | 99% | 300-800 pcs/min |
| Transformation | ≥1.0mm | 99% |
| Flash | ≥0.5mm | 99% |
| 4 set | Outside surface | Black spot (color different) | ≥0.2mm | 99% |
| Injection incomplete | ≥0.5mm | 99% |
| Flash | ≥0.5mm | 99% |
| 1 set | Top area | Black spot (color different) | ≥0.2mm | 99%
|
Advantage of system
- AI algorithm: high stability, adapting to the environment and
background disturbance; different defect samples can be
automatically identified after training
- Dataization: Independent database, save multiple samples, analyze
non-good products, and retain history
- Multi-orientation: 360 ° comprehensive inside and outside the samples
- High precision: detection accuracy can be high
- Modularization, can flexibly increase or decrease the detection
function according to customer actual needs
- Easy to operate: It is easy to operate and easy to maintain
- Safety: Medical grade material manufacturing, fully compliant with
medical supplies production environment
After Sales Service
- The seller should complete the creation and debugging of the
product basic algorithm model before the equipment is shipped, also
provide remote assistance after the equipment arrives at the
customer site; and provide buyer with the factory data and
operation manual of equipment.
- Daily operation and maintenance services: Our company provides free
remote operation and maintenance online services. If you need to
upgrade inspection algorithm, provide operational assistance, etc.
- Our company have regular offline training plan every year, so
domestic and foreign clients can send their engineers to
participate (at their own expense). Those who pass the exam can
obtain an industry functional skills certificate.
