3D AOI and AXI PCBA Inspection via Preconfigured Database
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Solution Overview
Problem
Current 2D AOI methods are inadequate for modern production requirements, leading to incomplete detection information and low efficiency, and are time-consuming to program, making them unsuitable for intelligent manufacturing.
Innovation Solution
A 3D AOI and AXI detection method that preconfigures graphical data in a part physical database, generates 3D physical models by converting CAD data, and outputs standard detection prototype data for comprehensive detection, including part body and pin data, using a system with modules for data input, conversion, search, and prototype generation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If 2D AOI detection method is used, then the detection process is simple, but the detection information is incomplete and detection precision is insufficient
Solution Approach 1:
The patent transitions from 2D AOI detection to 3D AOI detection by introducing a third dimension (depth/height) to capture complete component information including body dimensions, pin locations, and spatial relationships, thereby achieving comprehensive detection information while maintaining systematic complexity at an acceptable level
2Productivity
If manual programming for 3D AOI and AXI detection is used, then the detection can be performed, but the programming time is long and machine utilization is low
Solution Approach 1:
The patent implements preliminary action by pre-configuring graphical data in a part physical database before actual detection. The system automatically retrieves and applies this pre-prepared data during detection, eliminating the need for time-consuming manual programming and significantly improving machine utilization
Solution Approach 2:
The patent uses copying by creating 3D physical models that replicate actual component geometry and characteristics. These digital models are stored in the part physical database and reused across multiple detection tasks, eliminating repeated manual programming while maintaining accurate detection capabilities
3Loss of information
If simple 3D AOI and AXI detection methods are used, then the programming is fast, but part information cannot be obtained and detection cannot satisfy industry trace standards
Solution Approach 1:
The patent segments the detection system into distinct functional modules: a part physical database for storing detailed component information, a data input module for CAD/BOM data, a basic data conversion module for data processing, a search module for retrieving part information, and a 3D detection prototype data generation module. This segmentation enables comprehensive information capture while organizing system complexity into manageable, standardized components
4Productivity
If 3D physical models are generated from pre-configured graphical data, then the detection efficiency is improved, but the system complexity increases
Solution Approach 1:
The patent implements universality by creating a part physical database that serves multiple functions: storing 3D graphical data, maintaining part specifications, providing traceability information, and supporting both 3D AOI and AXI detection. This multi-functional database reduces overall system complexity while enabling efficient detection through reusable 3D physical models
Data Source
AI summary
The present disclosure provides a PCBA detection method and a system based on 3D AOI and AXI. The method includes: preconfiguring graphical data in a part physical database; obtaining CAD data related to a PCB based on design data input from PCB design software; converting the generated CAD data, and generating 3D basic graphical data to generate a 3D physical model; extracting BOM information from the design data, searching the part physical database for matched graphical data based on the BOM information, if the matched graphical data is found, generating a 3D physical model based on the graphical data; if the matched graphical data is not found, generating corresponding image data based on obtained created data, to generate a 3D physical model; and generating standard 3D detection prototype data, outputting the standard 3D detection prototype data to 3D AOI and AXI for detection.