IPRISM VISION SYSTEM
IPRISM Vision system provides solutions for objective and accurate inspection in unmanned intelligence system, and smart factories.
It can be introduced for each manufacturing process from the initial stage (raw materials) to the finished stage (finished products).
Therefore, it is possible to improve quality control by inspecting the entire process of the automated process with the IPRISM vision system.
Visual inspection has different defect standards for each inspector, and it is difficult to guarantee consistent quality due to physical limitations during batch inspection.
On the other hand, the IPRISM vision system inspect much faster and simpler than visual inspection with a maximum of 0.3 seconds per product,
and has high quality accuracy because it maintains a constant defect standard.
In addition, in the case of high-risk processes, industrial accidents can be prevented, contributing to the improvement of the working environment.
Therefore, the IPRISM vision system can lead to increased productivity, improved quality, and reduced budget, thus strengthening the competitiveness of manufacturing plants.
Kind of inspection
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Expiraition date inspection
Food expiration date,
OCR/OCV, barcode inspection -
Packaging defect inspection
Beverage Capping Inspection,
Different types and defective product packaging -
Foreign matter inspection
Inspection of foreign matter inside the container
Foreign material inspection on product appearance -
Label inspection
Presence of product label,
Inspection for dent defects -
Missing inspection
Inspection of cup noodle soup,
Inspection of quantity in snack box
Improving the production process with Iprism-Vision System
Proximity sensors detect products on the processing line during quality inspection.
Then, the camera acquires an image by determining the shape, size, character, pattern, etc. of the product.
After analyzing the acquired images with IPRISM's proprietary software,
defects that do not meet the standards required in the manufacturing process are detected.
In addition, green light (good product) or red light (defective product) is displayed as a warning light so that the manager can monitor in real time.
In addition, it sorts out defective products without stopping the processing line at the same time as the warning light alarms.
And automatically generate documentation for defect management.
By collecting the collected data and having a data-based factory operating system,
it is possible to obtain a correlation between phenomena and problems occurring at the production site.
In other words, it is possible to find out the cause of unexplained unexpected failure or quality defect and solve it easily.
