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    1. Some Application Cases

      2.5D / 3D Phone Cover Glass

      Surface detection

      Speed:≤ 2.3s/pc

      Result:Loss ≤ 2.5% | Fault ≤ 10%

      Type:Smudge, hair, dust spot, scratch, edge collapse, bump, deep scratch......

      Defect Type:deep scratch
      • master map

      • result

      Metallized Ceramics

      Surface detection

      Speed:≤ 100ms/pc

      Result:Loss ≤ 0.3% | Fault ≤ 1%

      Type:Scratches, chipped edges, smudges, cracks, scratches, missing......

      Defect Type:scratch
      • master map

      • result

      Metallic Part

      Surface detection

      Speed:≤ 500ms/pc

      Result:Loss ≤ 0.1% | Fault ≤ 5%

      Type:Smudge, bright mark, scratch, spot, mold, knife grain, notch......

      Type:Burr、scratch
      • master map

      • result

      Steel plate detection

      Surface detection

      Speed:≥120pcs/min

      Result:Loss ≤ 0.1% | Fault ≤ 5%

      Type:Burr, scratch, bruise......

      Type:Burr、scratch
      • master map

      • result

      Industrial character recognition

      Surface detection

      Speed:≤ 120ms/pc

      Result:Precision rate ≥ 99.99%

      Defect Type:Capital
      • master map

      • result

      The finished jelly

      Surface detection

      Speed:≥100pcs/min

      Result:Loss ≤ 0.2% | Fault ≤ 5%

      Type:Hair, pulp insects, black residue, air bubbles, iron filings......

      Defect Type:Hair
      • master map

      • result

      Face detection

      Surface detection

      Speed:≥235pcs/min

      Result:Loss ≤ 1% | Fault ≤ 1%

      Type:Singe, foreign body, hair, dirty......

      Defect Type:Singe
      • master map

      • result

      Medicine plate detection

      Surface detection

      Speed:≥500pcs/min

      Result:Loss ≤ 0.001% | Fault ≤ 0.001%

      Type:Deformation、foreign body、line error、blow-by......

      Defect Type:Deformation
      • master map

      • result

      Medicine boxes

      Surface detection

      Speed:≥500pcs/min

      Result:Loss ≤ 0.001% | Fault ≤ 0.001%

      Type:Damaged,smudged,medicine box opening,deformation,label curling......

      Defect Type:deformation
      • master map

      • result

      OCR test of medicine plate and box

      Surface detection

      Speed:≥500pcs/min

      Result:Precision rate ≥ 99.99%

      Defect Type:character
      • master map

      • result

      Electronic Components

      Surface detection

      Speed:≤ 2ms/pc

      Result:Loss ≤ 0.01% | Fault ≤ 1%

      Type:Magnetic leakage,bubbles,cracking,deformation,black,crack,crescent,trachoma,indentation......

      Defect Type:End of bad
      • master map

      • result

      Pouch power cell

      Surface detection

      Speed:≤ 5s/pc

      Result:Loss ≤ 0.1%(serious defects is 0) | Fault ≤ 5%

      Type:Polar piece folding, breakage, leakage, edge sealing foreign body,convex, pinhole......

      Defect Type:Sealing foreign body
      • master map

      • result

      Wet magnetic tile

      Surface detection

      Speed:≥80pcs/min

      Result:Loss ≤ 0.1% | Fault ≤ 15%

      Type:Crack, collapse, air hole, bad grinding, bad chamfering......

      Type:Falling blocks, leakage of wear
      • master map

      • result

      Dry magnetic tile

      Surface detection

      Speed:≥120pcs/min

      Result:Loss ≤ 0.1% | Fault ≤ 10%

      Type:Crack, collapse, trachoma......

      Defect Type:Crack
      • master map

      • result

      Ferrite bead

      Surface detection

      Speed:≥120pcs/min

      Result:Loss ≤ 0.1% | Fault ≤ 10%

      Type:Crack, collapse, plug hole, burr......

      Defect Type:Crack
      • master map

      • result

      Sintered magnet

      Surface detection

      Speed:≥100pcs/min

      Result:Loss ≤ 0.1% | Fault ≤ 10%

      Type:Crack, corner drop, pitting, knife mark, hole, inclusions, corrosion.....

      Defect Type:Crack
      • master map

      • result

      Soft magnetic core

      Surface detection

      Speed:≥200pcs/min

      Result:Loss ≤ 0.1% | Fault ≤ 10%

      Type:Crack, corner drop, speckle, mucous membrane, slurry, abrasion......

      Defect Type:Crack
      • master map

      • result

      Bonded magnetic ring

      Surface detection

      Speed:≥100pcs/min

      Result:Loss ≤ 0.05% | Fault ≤ 10%

      Type:Cracks, defects, pitting, magnetic flux leakage, pits, foreign bodies......

      Type:Pitting, bump
      • master map

      • result

       FAQ 
      How many image data need to be learned for each defect category?
      The number of images to be learned will vary according to the complexity of the images, but in the initial stage, about 40-100 images for different defect categories can be provided。
      How long does it take to build the neural network model?
      The general image size of 2048*2048 pixels, 500 for the standard, about 30 minutes。
      Industrial AI vision kit installation, need to change production line?
      Can be directly installed to the original production line, generally do not need to extend the additional major production line。
      What is the recognition speed that can be achieved in the actual production line?
      For example, the inspection project of medicine box packaging can detect about 500 products in a minute through full inspection,the specific situation of each project is different, so please take the actual project situation as the criterion。
      Can multiple different defects be identified?Is there an upper limit on the number of identifications?
      Supports multiple different categories of defects in the same project, with no upper limit on the number of categories detected。
      Whether the software is a standardized product?
      Products are standardized, with a strong versatility.At the same time, according to the special needs of users in different industries, technical personnel can customize the program according to the needs on the basis of the product。
      Is the image sample formatted?
      Image format is not limited, basically covering all image formats.Such as JPEG, BMP, PNG and so on。

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