Solution Printed Circuit Board Inspection Solution
| Target | Printed Circuit Board Inspection |
|---|---|
| Challenges addresses by this solution |
|
Captures three types of images simultaneously. High accuracy and Labor saving with DL
This solution achieves high-precision, high-speed Printed Circuit Board Inspection by combining a line camera and special lighting to capture multiple images and then using Deep Learning for detection.
In order to detect defects specific to printed circuit boards, three types of images are required: the board surface (silk printing, etc.), through holes, and land pads.With this solution, one line camera captures three types of images at a time.Additionally, defect classification is performed automatically by using deep learning to inspect each image one by one. Effectively streamline processes, improve efficiency and reduce human error.
In order to detect defects specific to printed circuit boards, three types of images are required: the board surface (silk printing, etc.), through holes, and land pads.With this solution, one line camera captures three types of images at a time.Additionally, defect classification is performed automatically by using deep learning to inspect each image one by one. Effectively streamline processes, improve efficiency and reduce human error.
Example of system configuration
Technical Features
Printed Circuit Board Inspection Solution
- Achieves high precision defect detection
- Using one line camera and special lighting, three images of the board surface (silk printing, etc.), through holes, and land pads are captured simultaneously
- Deep Learning is used to fully automate the process, including defect classification, reducing manpower
- Just log in the OK products in Deep Learning to complete the inspection without complicated settings
Normal captured image
Images captured using special lighting
Disassemble and inspect RGB R
Disassemble and inspect RGB G
Disassemble and inspect RGB B