The MS-WTW Wafer Inspection and Sorting Equipment is an automated system designed for membrane-to-membrane processing, combining inspection and sorting functions. It features high pick-and-place speed, high die bonding accuracy, high inspection precision, and high cleanliness levels. It is compatible with incoming 8-inch and 12-inch Disco rings and can handle chip products ranging from 0.5mm * 0.5mm to 15.5mm * 15.5mm in size.

• Large Chip Sorting: Capable of sorting chips with a side length ranging from 0.5mm to 15.5mm
  

• Wafer Inspection Compatibility: Supports incoming wafers with Disco ring specifications of 8 inches and 12 inches for inspection and sorting
  

• Comprehensive AOI Inspection: Performs AOI inspection on the front, back, and all four sides of sorted chips
  

• Defect Detection Based on Deep Learning and Traditional Algorithms: Utilizes deep learning for defect detection, with traditional algorithms providing additional support. Parameters can be freely adjusted for control
  

• High and Stable Alignment Accuracy: Achieves XY alignment precision deviation of ≤25μm and angle deviation of ≤1°
  

• High Efficiency: Continuous picking cycle time (CT) of less than 200ms for 3mm * 3mm chips
  

• High Success Rate: Sorting success rate ≥99.99% (excluding visually defective products)
  

• Optimal Map Sorting Logic: Balances production capacity and sorting accuracy to minimize the risk of "Wrong Sort."
  

• Automatic Correction of Die Bonding Position Deviation: Automatically corrects deviations in the die bonding position
  

• Fully Automated Wafer/Bin Loading and Unloading: Supports fully automated loading and unloading of wafers and bins
  

• Non-Destructive Chip Pickup: Can pick chips without breaking the film, reducing product damage rate
  

• High Cleanliness Level: Meets Class 10 cleanroom standards for dust control
  

• Customizable Software Development: Supports customized software development for specific needs
  

Product Inquiry Hotline：+86-138-1192-8592（Mr. Mao）
Product Inquiry Email： jian.mao@incubecn.com

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