| Customization: | Available |
|---|---|
| After-sales Service: | Spareparts Available |
| Warranty: | 1 Year |
Suppliers with verified business licenses
Audited Supplier Audited by an independent third-party inspection agency
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 high-precision cameras, 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, offering a streamlined and efficient setup.
2. The equipment can be remotely controlled and monitored for seamless operation, enhancing convenience and flexibility.
3. System alarm of abnormal situation to prevent large quantities of defective products or size deviation products, ensuring quality control with precision.
4. Access to historical defect maps and dimensional maps allows for in-depth analysis of causes behind defects and dimensional deviations, facilitating continuous improvement.
5. Combines traditional algorithms with AI deep learning technology to significantly enhance the ability to identify complex defects with high accuracy.
6. Adaptive threshold technology simplifies operation, making it more user-friendly and efficient.
| 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 selection,Measurement 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 debugging, |
| Size: 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. |
){kind=link}