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The devil is in the detail.

目前專研在deep learning，為團隊尋找/驗證/分析各種新方法，並結合不同方法到實際的場域中，銜接學術理論到實際應用。

National Chin-Yi University of Technology

Algorithm Engineer

莊承翰

Delta Electronics

台灣 台北市 
[Projects]　
　╴TFT-LCD defect detection
　╴Scratch detecion
　╴Algorithms system Development & Maintain
	
[Detail]
　╴TFT-LCD defect detection
　　Achieve the accuracy 85-95%+, 5~30 categories (depend on different projects)
　　improve the accuracy by 8%(compared with the previous)
		
　╴Transfer Learning (transfer the model that trained from domain A to domain B (same categories as domain A) without label data of domain B)
　　Increase the accuracy from 13%(before transfer) to 82%(after transfer) (11 categories).
		
　╴Scratch detection by only the golden image

　╴The techniques have been studied 
　　Inbalance data Handle 
　　Domain Adaptation
　　Semi/Self supervised method
　　Data Augmentation
　　Noise data detection
　　New class detection
　　Abnormal detection

台灣 新北市 
 License Plate Recognition System 
 - Algorithms development 
 - UI 
 
 Pedestrian Detection 
 - Algorithms development 
 
 Thermal Image Enhancement 
 - Enhance existing algorithms 
 
 Product Maintain and Support

ADE Technology

台灣 台北市 
 License Plate Algorithms Development 
 - License Plate Detection 
 - Character Segmentation 
 - Rotation Correction 
 
 People Counting Algorithms Enhance 
 - Executive Performance Improve 
 - System maintain 
 
 Product Debug and Maintain

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