AI-assisted Detection of Chip Skipping Defects on Wafers

The situation of chip jumping in the wafer is random, and the resulting defect patterns are diverse and difficult to predict the location of the defects. For AOI, it is almost impossible to set logic for jump defects and detect them based on it.Using the Segmentation technology of SolVision AI image platform, the AI model is trained with image samples of defects such as stacking, missing materials, skewing and misplacement, and flipping. After the AI training is completed, it can easily and quickly identify and mark the positions of abnormal pick and place on the wafer.

Computer Vision
Software
Features
Use Cases
Vertical Specifics
Business Tags
Semiconductor
Use Cases
Solution Info Link
Seller
Seller Name
Solomon
Past project(s)
Client(s)
Country
Taiwan
Specializes in
Seller Page
AI-assisted Detection of Chip Skipping Defects on Wafers
Description

The situation of chip jumping in the wafer is random, and the resulting defect patterns are diverse and difficult to predict the location of the defects. For AOI, it is almost impossible to set logic for jump defects and detect them based on it.Using the Segmentation technology of SolVision AI image platform, the AI model is trained with image samples of defects such as stacking, missing materials, skewing and misplacement, and flipping. After the AI training is completed, it can easily and quickly identify and mark the positions of abnormal pick and place on the wafer.

Vertical Specifics
Business Tags
Semiconductor
Use Cases
AI Category
Computer Vision
Data Source
No items found.
Hardware / Software
Software
Solution Info Link
Features
Use Cases
Seller
Seller Name
Solomon
Past project(s)
Client(s)
Country
Taiwan
Specializes in
Seller Page