ADC

Application scenario: Applied to visual inspection of process. The product have been applied in 10+ projects in display panel industry


Product function



– Object detection、Image classification、Image segmentation

– Model management: train、inference

– Data management

– Senior judgement

– Monitoring and early warning

– High availability

Product features



– Reduce quality inspection cost

– Precipitate knowledge and skills

– Improve detection capability dynamically

– Promote comprehensive process improvement

Advantage effect




Customer oriented product design, which can reduce the quality inspection cost by 85% and promote the comprehensive improvement of process





The training process is visualized, the model results are clearly visible, and the model effect is clear at a glance






Manual judgment, to complement the automatic judgment






Rich data analysis functions, with front layer traceability, map analysis, similarity analysis, decision analysis and other functions



Cases



 ※A international leading pan-semiconductor enterprise case




Business challenges

1. Many kinds of defects (100+) and difficult to sort

2. Manual judgment with low accuracy and efficiency

3. Lack of AI talent

4. Traditional thinking

5. Lack of methods to find out high-value and applicable scenarios




• Solution






• Effect of solution

1、Automatically judges the map, the personnel replacement rate is 80%, and the accuracy rate is improved by 20%

2、Reduce quality inspection cost by 85%

3、Improve product quality, reduce non-quality cost (scrap, etc.)

4、Provide root cause analysis of product defects

5、5 + people have learned to use and iterate the existing machine learning model

6、Established the flow system of defect detection


Advantage effect




Customer oriented product design, which can reduce the quality inspection cost by 85% and promote the comprehensive improvement of process





The training process is visualized, the model results are clearly visible, and the model effect is clear at a glance






Manual judgment, to complement the automatic judgment






Rich data analysis functions, with front layer traceability, map analysis, similarity analysis, decision analysis and other functions



Cases



 ※A international leading pan-semiconductor enterprise case




Business challenges

1. Many kinds of defects (100+) and difficult to sort

2. Manual judgment with low accuracy and efficiency

3. Lack of AI talent

4. Traditional thinking

5. Lack of methods to find out high-value and applicable scenarios




• Solution






• Effect of solution

1、Automatically judges the map, the personnel replacement rate is 80%, and the accuracy rate is improved by 20%

2、Reduce quality inspection cost by 85%

3、Improve product quality, reduce non-quality cost (scrap, etc.)

4、Provide root cause analysis of product defects

5、5 + people have learned to use and iterate the existing machine learning model

6、Established the flow system of defect detection


Message
Message board