Affiliation:
1. Institute of NanoEngineering and MicroSystems, National Tsing Hua University, Hsinchu 300044, Taiwan
2. Department of Power Mechanical Engineering, National Tsing Hua University, Hsinchu 300044, Taiwan
Abstract
An integrated automatic optical inspection (iAOI) system with a procedure was proposed for a printed circuit board (PCB) production line, in which pattern distortions and performance deviations appear with process variations. The iAOI system was demonstrated in a module comprising a camera and lens, showing improved supportiveness for commercially available hardware. The iAOI procedure was realized in a serial workflow of image registration, threshold setting, image gradient, marker alignment, and geometric transformation; furthermore, five operations with numerous functions were prepared for image processing. In addition to the system and procedure, a graphical user interface (GUI) that displays sequential image operation results with analyzed characteristics was established for simplicity. To demonstrate its effectiveness, self-complementary Archimedean spiral antenna (SCASA) samples fabricated via standard PCB fabrication and intentional pattern distortions were demonstrated. The results indicated that, compared with other existing methods, the proposed iAOI system and procedure provide unified and standard operations with efficiency, which result in scientific and unambiguous judgments on pattern quality. Furthermore, we showed that when an appropriate artificial intelligence model is ready, the electromagnetic characteristic projection for SCASAs can be simply obtained through the GUI.
Funder
Ministry of Science and Technology
Reference27 articles.
1. Yang, F.-S., Ho, C.-C., and Chen, L.-C. (2021). Automated optical inspection system for o-ring based on photometric stereo and machine vision. Appl. Sci., 11.
2. A Review and Analysis of Automatic Optical Inspection and Quality Monitoring Methods in Electronics Industry;Ebayyeh;IEEE Access,2020
3. Advanced qualification method for patterns with irregular edges in printed electronics;Hsu;Flex. Print. Electron.,2019
4. Efficient and improved qualification method for patterns with irregular edges in printed electronics;Liu;J. Micromech. Microeng.,2019
5. Simulating organogenesis: Algorithms for the image-based determination of displacement fields;Schwaninger;ACM Trans. Model. Comput. Simul.,2015