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AOI solution for Wire Bonding /Die Bonding

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AOI solution for Wire Bonding /Die Bonding

AOI solution for Wire Bonding /Die Bonding

 

AOI solution for Wire Bonding /Die Bonding adopts the optical system module and core detection algorithm with completely independent intellectual property rights, as well as AI deep learning algorithm, which is suitable for detecting various defects on the grain surface, solder joints, solder lines and frame surface in the process of fixed crystal and wire bonding, and can be used for efficient AOI detection of defects after the fixed crystal Die Bonding and wire bonding in the semiconductor seal testing field, with characteristics of high speed, high precision and high inspection coverage.

 

 

特色方案
  • Dual site detection

    It is applicable to the detection of two stations after semiconductor sealing test D/B and W/B.

  • AOI Inspection algorithm+AI deep learning

    Using AOI detection algorithm to eliminate background image interference, accurately locate the detection object, focus on detecting various defects in certification, and then use AI deep learning detection algorithm for re evaluation, greatly reducing the misjudgment rate.

  • PCL+Industrial Human Computer Interface

    Adopting PCL+industrial human-machine interface for equipment operation control and human-machine interaction.

  • Product type switching+synchronous transmission and saving

    Can quickly switch between detection product types;

    Support MES networking for synchronizing production data, equipment parameters, and fault shutdown information, with the function of saving cycle numbers.

Recommended solution
Wire/Die Bonding AOI inspection machine

Solid state wire bonding AOI inspection machine, also known as wire bonding AOI inspection machine, is mainly used for efficient AOI inspection of defects after die bonding and wire bonding in the semiconductor packaging and testing field. It has the characteristics of high speed, high precision, and high inspection coverage. Optical system modules and core detection algorithms with completely independent intellectual property rights, as well as AI deep learning algorithms, are suitable for detecting various defects on grain surfaces, solder joints, solder wires, and frame surfaces that occur during the solidification and wire bonding processes.

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