Audited Supplier
customized
Spareparts Available
1 Year
ISO9001
New
Electronic Component, Auto Part, Plastic, Seals, Megnetic Materials
Minimum 6
Dividing Disk or Straight-Line Conveyor
450kg
≥99.9%
Shine Technology
Wooden Box/Carton Box/ Container and Pallet
1450mmX1300mmX1900mm
China
9031499090
Product Description
AI Vision Sorting Machine
Artificial intelligence software is utilized to inspect the test parts in all directions and meanwhile remove the defective parts . Through the deep learning of algorithm, the defects are classified, located, alarms are issued, and defect images are displayed. At the same time, the size of the part is measured by a high-precision camera, and the measured products that do not meet the size range are automatically removed.
Features of Vision Sorting Machine
1.Integrated equipment, maximizing the saving space of production line.
2.The equipment can be remotely controlled and monitored for operation
3.System alarm of abnormal situation to avoid large quantities of defective products or size deviation products.
4.Historical defect map and dimensional map can be viewed to analyze the causes of defects and dimensional deviations.
5.Traditional algorithm + AI deep learning technology to improve the ability to identify complex defects.
6.Adaptive threshold technology makes operation more simple.
Artificial intelligence software is utilized to inspect the test parts in all directions and meanwhile remove the defective parts . Through the deep learning of algorithm, the defects are classified, located, alarms are issued, and defect images are displayed. At the same time, the size of the part is measured by a high-precision camera, and the measured products that do not meet the size range are automatically removed.
Features of Vision Sorting Machine
1.Integrated equipment, maximizing the saving space of production line.
2.The equipment can be remotely controlled and monitored for operation
3.System alarm of abnormal situation to avoid large quantities of defective products or size deviation products.
4.Historical defect map and dimensional map can be viewed to analyze the causes of defects and dimensional deviations.
5.Traditional algorithm + AI deep learning technology to improve the ability to identify complex defects.
6.Adaptive threshold technology makes operation more simple.
| Test object: | small parts |
| Product colour: | black,white,grey and other common colours |
| Product plating: | nickel,zinc,phosphating,epoxy,etc. |
| Detectable shapes | rectangular (ring),circular (ring),oval (ring),trapezoidal,runway,cylinder and other shapes |
| Materials incoming way: | vibration disc or centrifugal disc |
| Detection speed | ordinary up to 1200 pcs min,high-speed machine 6000 pcs /minInspection object size:length 1~64mm;width 1~19mm;thickness 0.3~8mm. |
| Detection field of view: | can be customised according to the actual project selectionMeasurement accuracy:plane size 0.003mm,thickness size 0.005mm |
| Number of Al defect training samples | 20 |
| Algorithm model | small sample |
| Detection rate: | 99.90% |
| Easy to use of equipment: | more compatible products,convenient visual debuggingSize:L1450mmxW1300mmxH1900mm |
| Weight: | about 450kg |
| Inspection size parameters | Length 1~64mm;Width 1~19mm;Thickness 0.3~8mm |
| Dimensional accuracy | Flatness accuracy:+0.002mm;Thickness accuracy:*0.003mm |
| Dimensional test items | Length,width,thickness,diameter,inside diameter,concentricity,parallelism, straightness,roundness,perpendicularity,contour,symmetry,etc. |
| Detection items | Corners,pits,cracks,scratches,bevelled knives,blisters,fine lines,side corners,corrosion,whitening,copper exposure,dark cracks,etc. |
| The system measures dimensions within the accuracy range | Including length,width,height,length,width,thickness,circle,inner diameter,outer diameter,pinch angle,R angle,contour,parallelism, perpendicularity,symmetry,roundness and other conventional dimensions. |
