Audited Supplier
AI Vision Sorting Machine
Harnessing the power of cutting-edge artificial intelligence software, this machine meticulously examines test parts from every angle, ensuring flawless inspection and removing any defective items. Leveraging advanced algorithms and deep learning, it classifies and pinpoints defects, triggers alerts, and displays images of detected issues. Simultaneously, high-precision cameras measure part sizes, automatically removing items that fall outside the specified range, ensuring unparalleled precision and reliability.
Features of Vision Sorting Machine
1. This integrated equipment is designed to maximize the efficiency of your production line by saving valuable space.
2. Experience the convenience of remote control and real-time monitoring, ensuring seamless operation.
3. Proactive system alarms alert you to any abnormalities, preventing the spread of defective or off-size products.
4. Access comprehensive historical maps of defects and dimensions, providing valuable insights to analyze and rectify causes of imperfections and deviations.
5. A synergy of traditional algorithms and AI deep learning technology significantly enhances the capability to detect and identify intricate defects with precision.
6. Simplified operation is achieved through adaptive threshold technology, making the process more user-friendly.
| 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. |
