Results 11 to 20 of about 200 (87)

Switchable Glass Enabled Contextualization for a Cyber-Physical Safe and Interactive Spatial Augmented Reality PCBA Manufacturing Inspection System

Sensors, 2020
Augmented reality (AR) has been demonstrated to improve efficiency by up to thrice the level of traditional methods. Specifically, the adoption of visual AR is performed widely using handheld and head-mount technologies. Despite spatial augmented reality
Joel Murithi Runji, Chyi-Yeu Lin
doaj   +1 more source

Edge-Based Deep Learning System for Automated PCB Component Inspection [PDF]

EPJ Web of Conferences
Automatic Optical Inspection (AOI) is essential in Switched Mode Power Supply (SMPS) PCB manufacturing, where missing components can lead to functional failure and safety risks.
Jaswanth B., Chandiran D., Mohammed Sami J., Gobivel K., Gayathri Monicka S.   +4 more
doaj   +1 more source

Surface Defect Classification for Hot-Rolled Steel Strips by Selectively Dominant Local Binary Patterns

IEEE Access, 2019
Developments in defect descriptors and computer vision-based algorithms for automatic optical inspection (AOI) allows for further development in image-based measurements.
Qiwu Luo, Xiaoxin Fang, Yichuang Sun, Li Liu, Jiaqiu Ai, Chunhua Yang, Oluyomi Simpson   +6 more
doaj   +1 more source

A Machine Vision Based Automatic Optical Inspection System for Measuring Drilling Quality of Printed Circuit Boards

IEEE Access, 2017
In this paper, we develop and put into practice an automatic optical inspection (AOI) system based on machine vision to check the holes on a printed circuit board (PCB). We incorporate the hardware and software.
Wei-Chien Wang, Shang-Liang Chen, Liang-Bi Chen, Wan-Jung Chang   +3 more
doaj   +1 more source

Development of Automatic Inspection and Optimization Platform for Computer Numerical Control Machining Using Automatic Optical Inspection and Artificial Intelligence

Engineering Proceedings
We developed an automatic optical inspection (AOI) system for detecting defects in finished workpieces and determining the parameters for CNC machining. The system addresses quality control issues in CNC machining using image processing, machine learning,
Qi-Ren Lin, Bo-Cing Hu, Liang-Yin Kuo, Ting-Yi Shen   +3 more
doaj   +1 more source

Deep convolutional neural network-based automated optical inspection for aerospace components

Digital Engineering
Aerospace manufacturing industry uses composite materials extensively as structural components in civilian and military aircraft. To ensure the quality of the product and high reliability, manual inspection and traditional automatic optical inspection ...
Shashi Bhushan Jha, Radu F. Babiceanu, Prashant Shekhar, Sirish Namilae   +3 more
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Construction of Fully Automated Key Production Line

Engineering Proceedings
We developed a fully automated key production line for smart manufacturing technologies based on the Internet of Things (IoT) and automatic optical inspection (AOI) to enable efficient and consistent production.
Guo-Cheng Lee, Yi-Hsuan Chiu, Kuang-Chyi Lee   +2 more
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Research on Printed Circuit Board (PCB) Defect Detection Algorithm Based on Convolutional Neural Networks (CNN)

Applied Sciences
Printed Circuit Board (PCB) defect detection is critical for quality control in electronics manufacturing. Traditional manual inspection and classical Automated Optical Inspection (AOI) methods face challenges in speed, consistency, and flexibility. This
Zhiduan Ni, Yeonhee Kim
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Intelligent Casting Quality Inspection Method Integrating Anomaly Detection and Semantic Segmentation

Machines
Wind power generation plays an important role in renewable energy, and the core casting components have extremely high requirements for precision and quality.
Min-Chieh Chen, Shih-Yu Yen, Yue-Feng Lin, Ming-Yi Tsai, Ting-Hsueh Chuang   +4 more
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A Comprehensive Performance Evaluation of YOLO Series Algorithms in Automatic Inspection of Printed Circuit Boards

Machines
Considering the rapid iteration of you-only-look-once (YOLO)-series algorithms, this paper aims to provide a data-driven performance spectrum and selection guide for the latest YOLO series algorithm (YOLOv8 to YOLOv13) in printed circuit board (PCB ...
Zan Yang, Dan Li, Longhui Hou, Wei Nai
doaj   +1 more source