An efficient solder joint defects method for 3D point clouds with double-flow region attention network

Solder Joint Defect Detection in the Connectors Using Improved Faster-RCNN Algorithm

(2021) Kaihua Zhang et al.   Applied Sciences-Basel

A smart surface inspection system using faster R-CNN in cloud-edge computing environment

(2020) Yuanbin Wang et al.   ADVANCED ENGINEERING INFORMATICS

A fast template matching method based on improved ring projection transformation and local dynamic time warping

(2020) Yulin Wang et al.   OPTIK

Bottom-up image detection of water channel slope damages based on superpixel segmentation and support vector machine

(2020) Junjie Chen et al.   ADVANCED ENGINEERING INFORMATICS

Deep Learning on Point Clouds and Its Application: A Survey

(2019) Weiping Liu et al.   SENSORS

One class based feature learning approach for defect detection using deep autoencoders

(2019) Abdul Mujeeb et al.   ADVANCED ENGINEERING INFORMATICS

Soldering defect detection in automatic optical inspection

(2019) Wenting Dai et al.   ADVANCED ENGINEERING INFORMATICS

Solder joint defect classification based on ensemble learning

(2017) Hao Wu   SOLDERING & SURFACE MOUNT TECHNOLOGY

Design of deep convolutional neural network architectures for automated feature extraction in industrial inspection

(2016) Daniel Weimer et al.   CIRP ANNALS-MANUFACTURING TECHNOLOGY

Automated visual inspection in the semiconductor industry: A survey

(2015) Szu-Hao Huang et al.   COMPUTERS IN INDUSTRY

ImageNet Large Scale Visual Recognition Challenge

(2015) Olga Russakovsky et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

Classification of Solder Joint Using Feature Selection Based on Bayes and Support Vector Machine

(2013) Hao Wu et al.   IEEE Transactions on Components Packaging and Manufacturing Technology

Design and development of automatic visual inspection system for PCB manufacturing

(2011) N.S.S. Mar et al.   ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING

Automated extraction of PCB components based on specularity using layered illumination

(2009) Zhou Zeng et al.   JOURNAL OF INTELLIGENT MANUFACTURING