玻璃.png)
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......
-
玻璃2.png)
master map
-
玻璃3.png)
result
Metallized Ceramics
Surface detection
Speed：≤ 100ms/pc
Result：Loss ≤ 0.3% | Fault ≤ 1%
Type：Scratches, chipped edges, smudges, cracks, scratches, missing......
-
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......
-
master map
-
result
Steel plate detection
Surface detection
Speed：≥120pcs/min
Result：Loss ≤ 0.1% | Fault ≤ 5%
Type：Burr, scratch, bruise......
-
master map
-
result
字符識別.png)
Industrial character recognition
Surface detection
Speed：≤ 120ms/pc
Result：Precision rate ≥ 99.99%
-
字符識別2.png)
master map
-
字符識別3.png)
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......
-
master map
-
result
Face detection
Surface detection
Speed：≥235pcs/min
Result：Loss ≤ 1% | Fault ≤ 1%
Type：Singe, foreign body, hair, dirty......
-
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......
-
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......
-
master map
-
result
OCR test of medicine plate and box
Surface detection
Speed：≥500pcs/min
Result：Precision rate ≥ 99.99%
-
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......
-
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......
-
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......
-
master map
-
result
Dry magnetic tile
Surface detection
Speed：≥120pcs/min
Result：Loss ≤ 0.1% | Fault ≤ 10%
Type：Crack, collapse, trachoma......
-
master map
-
result
.png)
Ferrite bead
Surface detection
Speed：≥120pcs/min
Result：Loss ≤ 0.1% | Fault ≤ 10%
Type：Crack, collapse, plug hole, burr......
-
2.png)
master map
-
3.png)
result
磁鐵.png)
Sintered magnet
Surface detection
Speed：≥100pcs/min
Result：Loss ≤ 0.1% | Fault ≤ 10%
Type：Crack, corner drop, pitting, knife mark, hole, inclusions, corrosion.....
-
磁鐵2.png)
master map
-
磁鐵3.png)
result
Soft magnetic core
Surface detection
Speed：≥200pcs/min
Result：Loss ≤ 0.1% | Fault ≤ 10%
Type：Crack, corner drop, speckle, mucous membrane, slurry, abrasion......
-
master map
-
result
磁環(huán).png)
Bonded magnetic ring
Surface detection
Speed：≥100pcs/min
Result：Loss ≤ 0.05% | Fault ≤ 10%
Type：Cracks, defects, pitting, magnetic flux leakage, pits, foreign bodies......
-
磁環(huán)2.png)
master map
-
磁環(huán)3.png)
result
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。
