MCHB-DETR: An Efficient and Lightweight Inspection Framework for Ink Jet Printing Defects in Semiconductor Packaging

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Authors: Yibin Chen, Jiayi He, Zhuohao Shi, Yisong Pan, Weicheng Ou
Cited by: 2
References: 38

Abstract

In semiconductor packaging and microelectronic manufacturing, inkjet printing technology is widely employed in critical processes such as conductive line fabrication and encapsulant dot deposition. However, dynamic printing defects, such as missing droplets and splashing can severely compromise circuit continuity and device reliability. Traditional inspection methods struggle to detect such subtle and low-contrast defects. To address this challenge, we propose MCHB-DETR, a novel lightweight defect detection framework based on RT-DETR, aimed at improving product yield in inkjet printing for semiconductor packaging. MCHB-DETR features a lightweight backbone with enhanced multi-level feature extraction capabilities and a hybrid encoder designed to improve cross-scale and multi-frequency feature fusion. Experimental results on our inkjet dataset show a 29.1% reduction in parameters and a 36.7% reduction in FLOPs, along with improvements of 3.1% in mAP@50 and 3.5% in mAP@50:95. These results demonstrate its superior detection performance while maintaining efficient inference, highlighting its strong potential for enhancing yield in semiconductor packaging.

Fields of Study & Subjects

Industrial Vision Systems and Defect Detection Advanced Neural Network Applications Nanomaterials and Printing Technologies

Publication details

Journal / source
Micromachines
Publisher
MDPI AG
Volume
17
Issue
1
Pages
109–109
Publication date
14 January 2026
Language
EN