6 Cameras Innovative Printed Yogurt Cup Visual Inspection System to
Find Surface Defect
Yogurt cup visual inspection system can achieve rapid and accurate
detection of appearance defects of cups through machine vision
technology, thereby improving product quality. This technology
combines light sources, lenses, cameras, and software algorithms to
perform comprehensive detection of cups, including deformation of
cup shoulders, multiple materials in cup bodies, broken cups,
deformations, dents, etc., to ensure that cups meet quality
standards and prevent defective products from entering the market.
This is crucial for enhancing brand image and consumer
satisfaction. Finally, visual inspection of cups can save time and
manpower resources, reduce production costs and risks. - The Latest advanced AI algorithm
- Modularization embedded processing unit
- Surging computing power NPU chip
- Cloud platform for remote operation&maintenance
- Self-developed hardware and software system
- High compatibility with various product kinds
Inspection TheoryThe latest AI yogurt cup visual inspection system is a full
automatic equipment for paper and plastic cup product appearance
defect detection, the standard configuration of this vision
inspection method is 6 industrial cameras for the full area
inspection. The inspected product is stably and orderly transmitted
to a specific workstation through a material handling (feeding)
device, and the high pixel sample images captured are transmitted
to image processing software through customized Led light sources
and industrial cameras.
The latest AI algorithms are analyzed and compared, and the system
automatically determines “NG” and “OK” products. The corresponding
pneumatic components are controlled to reject the defective
products online, and the good products are counted and packaged
directly, or transferred to the next production stage.
The visualization control software will open up sample comparison
standards, and production personnel at the customer’s site can
control the comparison accuracy, select the most suitable accuracy
standard for their own production situation, and thus control the
defect rate, the inspection data of certain period can be exported
and download as an excel file, it is helpful to monitor the
production efficiency and make the adjustment.
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