Automated solutions for semiconductors through image analysis

Achieving defect detection in semiconductor manufacturing through image analysis. Supporting quality stability and alleviating labor shortages.

In the semiconductor industry, the detection of minute defects and the stabilization of the manufacturing process are emphasized as crucial for ensuring product quality and reliability. Particularly in processes that rely on visual inspection, the skill level of inspectors can influence outcomes, and labor shortages may impact production efficiency. Overlooking minute defects can lead to product failures and a decrease in yield. Our automated solution using image analysis addresses these challenges by achieving high-precision defect detection and automation of the inspection process based on objective data. 【Application Scenarios】 ■ Detection of minute foreign objects and scratches on the manufacturing line ■ Appearance inspection of wafers and chips ■ Early detection of abnormal signs in the manufacturing process 【Benefits of Implementation】 ■ Improved inspection accuracy and reduced variability ■ Cost savings in labor and increased productivity through automation of the inspection process ■ Reduced dependence on skilled workers and standardization of know-how ■ Promotion of data-driven quality improvement activities

Other inspection equipment and devicesImage analysis