1. Printed circuit boards (PCBs for short) are substrates for assembling electronic parts, and the manufacturing quality of PCB boards directly affects the reliability of electronic products. With the in-depth development of electronic assembly towards higher density and smaller size PCB hybrid technology, the demand for automatic optical inspection (AOI) systems for PCB inspection is increasing in order to reduce the number of defective circuit boards entering the next stage.
2. The AOI system is an automated inspection system based on machine vision technology. It extracts PCB surface graphics using high-definition line-scan cameras, converts them digitally, performs logical judgments and pattern matching of feature points, compares line shapes and contours logically, and identifies and extracts defect points. This technical process is used to detect defects in PCB surface graphics.
3. The AOI system offers significant technical advantages over other inspection schemes and traditional methods, making it widely adopted in PCB inspection. Its high-speed
1. The PCB inspection system checks and rectifies defects, significantly reducing costs compared to post-final test and inspection.
2. Early detection of recurring errors, such as component misplacement or tray misalignment, is possible.
3. The integration of statistical analysis in PCB inspection and SPC process management technology provides a potent tool for timely improvements in SMT production processes, markedly enhancing PCB assembly yields. As modern manufacturing scales up, effective production control grows increasingly critical, driving higher demand for SPC data.
4. It can meet the testing demands posed by increased PCB assembly densities. As electronic product assembly densities rise, traditional testing methods like ICT may no longer suffice for evolving SMT technology needs, but PCB testing technology remains unaffected by these limitations.
5. PCB testing equipment generates test programs directly from CAD data, eliminating the need for special fixtures, thus significantly reducing testing costs compared to ICT.
6. It aligns with the production cycle of SMT lines. Current PCB inspection technologies achieve speeds of 0.1 second per frame, meeting online inspection requirements.
7. High reliability in detection: Unlike manual visual inspection, which is inherently limited, PCB inspection technologies ensure superior accuracy and reliability, circumventing these drawbacks.
8. Ensures product quality, reduces labor costs, and enhances labor productivity.
9. Non-contact measurement prevents damage and scratching of PCB boards.
10. Machine vision inspection technology accomplishes tasks previously impractical, such as inspecting miniature tube corners where traditional methods fall short.
The advantages outlined above suffice for meeting PCB inspection requirements and enabling intelligent automation in the PCB inspection industry through the application of machine vision automated optical inspection systems.
2. The AOI system is an automated inspection system based on machine vision technology. It extracts PCB surface graphics using high-definition line-scan cameras, converts them digitally, performs logical judgments and pattern matching of feature points, compares line shapes and contours logically, and identifies and extracts defect points. This technical process is used to detect defects in PCB surface graphics.
3. The AOI system offers significant technical advantages over other inspection schemes and traditional methods, making it widely adopted in PCB inspection. Its high-speed
1. The PCB inspection system checks and rectifies defects, significantly reducing costs compared to post-final test and inspection.
2. Early detection of recurring errors, such as component misplacement or tray misalignment, is possible.
3. The integration of statistical analysis in PCB inspection and SPC process management technology provides a potent tool for timely improvements in SMT production processes, markedly enhancing PCB assembly yields. As modern manufacturing scales up, effective production control grows increasingly critical, driving higher demand for SPC data.
4. It can meet the testing demands posed by increased PCB assembly densities. As electronic product assembly densities rise, traditional testing methods like ICT may no longer suffice for evolving SMT technology needs, but PCB testing technology remains unaffected by these limitations.
5. PCB testing equipment generates test programs directly from CAD data, eliminating the need for special fixtures, thus significantly reducing testing costs compared to ICT.
6. It aligns with the production cycle of SMT lines. Current PCB inspection technologies achieve speeds of 0.1 second per frame, meeting online inspection requirements.
7. High reliability in detection: Unlike manual visual inspection, which is inherently limited, PCB inspection technologies ensure superior accuracy and reliability, circumventing these drawbacks.
8. Ensures product quality, reduces labor costs, and enhances labor productivity.
9. Non-contact measurement prevents damage and scratching of PCB boards.
10. Machine vision inspection technology accomplishes tasks previously impractical, such as inspecting miniature tube corners where traditional methods fall short.
The advantages outlined above suffice for meeting PCB inspection requirements and enabling intelligent automation in the PCB inspection industry through the application of machine vision automated optical inspection systems.