
Our state-of-the-art Artificial Intelligence software inspects test parts comprehensively, identifying and removing defects with precision. Utilizing sophisticated deep learning algorithms, the system classifies defects, pinpoints their location, issues timely alerts, and displays defect images for detailed analysis. Furthermore, our high-precision camera meticulously measures each part, ensuring only products within the specified size range are retained, while automatically eliminating those that do not meet the criteria.
Outstanding Features of the Vision Sorting Machine
1. This compact, all-in-one equipment is designed to maximize space efficiency within your production line, offering seamless integration.
2. Experience unparalleled convenience with the ability to remotely control and monitor operations, ensuring streamlined management.
3. Advanced system alerts for abnormal situations help prevent the production of large quantities of defective or size-deviant products.
4. Gain deep insights by accessing historical defect and dimensional maps, enabling thorough analysis of defect causes and dimensional deviations.
5. By combining traditional algorithms with cutting-edge AI deep learning, our machine significantly enhances the identification of complex defects.
6. With adaptive threshold technology, our system simplifies operations, providing a user-friendly experience.

| 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. |








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