Ai Vision Sorting Machine with Advanced Sorting Capabilities and High Precision

Product Details
Customization: Available
After-sales Service: Spareparts Available
Warranty: 1 Year
Gold Member Since 2024

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  • Ai Vision Sorting Machine with Advanced Sorting Capabilities and High Precision
  • Ai Vision Sorting Machine with Advanced Sorting Capabilities and High Precision
  • Ai Vision Sorting Machine with Advanced Sorting Capabilities and High Precision
  • Ai Vision Sorting Machine with Advanced Sorting Capabilities and High Precision
  • Ai Vision Sorting Machine with Advanced Sorting Capabilities and High Precision
  • Ai Vision Sorting Machine with Advanced Sorting Capabilities and High Precision
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  • Overview
  • Product Description
  • Product Parameters
Overview

Basic Info.

Model NO.
customized
Certification
ISO9001
Condition
New
Application
Electronic Component, Auto Part, Plastic, Seals, Megnetic Materials
Lens Number
Minimum 6
Type
Dividing Disk or Straight-Line Conveyor
Weight
450kg
Detection Rate
≥99.9%
Transport Package
Wooden Box/Carton Box/ Container and Pallet
Specification
1450mmX1300mmX1900mm
Trademark
Shine Technology
Origin
China
HS Code
9031499090
Production Capacity
200 Sets/Year

Product Description

Product Description

AI Vision Sorting Machine
Harnessing the power of artificial intelligence, our AI Vision Sorting Machine meticulously inspects test parts from every angle, efficiently eliminating defective items. Utilizing deep learning algorithms, it categorizes and pinpoints defects, triggers alarms, and vividly displays defect images. Simultaneously, a high-precision camera measures part sizes, automatically removing any that fall outside the specified dimensions.
Ai Vision Sorting Machine with Advanced Sorting Capabilities and High Precision
Features of Vision Sorting Machine
1. Integrated equipment design, optimizing space on the production line for maximum efficiency.
2. Capable of remote control and monitoring to ensure seamless operation.
3. System alarms for abnormal conditions to prevent the proliferation of defective or out-of-spec products.
4. Access to historical defect and dimensional maps, enabling thorough analysis of defect and size variance causes.
5. Combines traditional algorithms with AI deep learning technology to enhance complex defect identification capabilities.
6. Adaptive threshold technology simplifies operations, making the process more intuitive.Ai Vision Sorting Machine with Advanced Sorting Capabilities and High Precision
Product Parameters
 
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.

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