Advanced Ai Vision Sorting Machine with Superior Detection Rate

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

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  • Advanced Ai Vision Sorting Machine with Superior Detection Rate
  • Advanced Ai Vision Sorting Machine with Superior Detection Rate
  • Advanced Ai Vision Sorting Machine with Superior Detection Rate
  • Advanced Ai Vision Sorting Machine with Superior Detection Rate
  • Advanced Ai Vision Sorting Machine with Superior Detection Rate
  • Advanced Ai Vision Sorting Machine with Superior Detection Rate
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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
Artificial intelligence software is utilized to inspect the test parts in all directions and meanwhile remove the defective parts. Through the deep learning of advanced algorithms, the system classifies and locates defects, issues alarms, and displays defect images. Simultaneously, a high-precision camera measures the size of each part, ensuring products meet the specified size range. Non-compliant products are automatically removed, ensuring superior quality control.
Advanced Ai Vision Sorting Machine with Superior Detection Rate
Features of Vision Sorting Machine
1. Integrated equipment designed to maximize space savings on the production line, enhancing efficiency and organization.
2. The equipment can be remotely controlled and monitored, offering seamless operation management from any location.
3. System alarms for abnormal situations help prevent large quantities of defective or size-deviant products, maintaining high-quality standards.
4. Historical defect maps and dimensional maps are accessible for in-depth analysis of the causes behind defects and dimensional deviations.
5. A blend of traditional algorithms and AI deep learning technology significantly enhances the ability to identify and rectify complex defects.
6. Adaptive threshold technology simplifies operations, making the system user-friendly and efficient.Advanced Ai Vision Sorting Machine with Superior Detection Rate
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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