PCB Drill Hole Inspection Using 3D Voxel Data Analysis
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Solution Overview
Problem
Conventional methods for inspecting conductor residue in back-drilled holes of printed circuit boards (PCBs) are time and labor-consuming, leading to increased production costs and time due to their inefficiency.
Innovation Solution
A drill hole inspection system and method utilizing a combination of 3D imaging, machine learning, and voxel data analysis to accurately position and analyze drill holes, extracting relevant data for efficient defect detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional inspection tools such as high magnification magnifiers or probes are used to inspect conductor residue in back-drilled holes, then inspection accuracy can be achieved, but inspection time and labor costs increase significantly
Solution Approach 1:
The patent replaces mechanical inspection tools (magnifiers and probes) with an automated optical imaging system that captures images of drill holes and uses image processing algorithms to detect conductor residue. This substitution eliminates manual operation while maintaining detection capability, thereby reducing inspection time and labor costs without sacrificing accuracy.
Solution Approach 2:
The patent creates a digital copy (image) of the drill hole interior and analyzes this copy to detect conductor residue. By working with image data rather than directly manipulating physical samples under magnifiers, the system enables rapid automated inspection while preserving the ability to detect fine details that would require high magnification manual inspection.
2Reliability
If manual inspection methods are used for drill holes, then detailed examination is possible, but production costs and time increase
Solution Approach 1:
The inspection system performs self-service by automatically capturing images, processing them through algorithms, and identifying conductor residue without human intervention. The system extracts features from images, determines whether residue is present, and outputs inspection results autonomously, thereby maintaining reliable defect detection while dramatically improving production efficiency.
Solution Approach 2:
The patent transforms the inspection process by changing parameters from manual visual examination to automated image analysis. By converting physical inspection into digital image processing and applying algorithmic analysis, the system achieves both high reliability in defect detection and improved productivity through automation and speed.
Data Source
AI summary
A drill hole inspection method for using a drill hole inspection system to inspect a drill hole of a printed circuit board (PCB) is provided. The drill hole inspection method includes: scanning the PCB to obtain 3-dimensional (3D) image voxel data of the PCB; determining a first-dimension interval corresponding to the PCB along one direction of the 3D image voxel data; determining, in a plane of the 3D image voxel data which is orthogonal to the direction, a 2-dimensional (2D) position corresponding to the drill hole; extracting a portion of the 3D image voxel data as drill hole voxel data according to the first-dimension interval and the 2D position; analyzing the drill hole voxel data to obtain an inspection result of the drill hole; and outputting the inspection result through an output component. In addition, a drill hole inspection system and an inspection device using the same are also provided.