Multimodal PCB Inspection for Rapid Counterfeit Component Detection
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Solution Overview
Problem
The use of Commercial Off-The-Shelf (COTS) electronic components in critical systems poses challenges due to potential manufacturing errors, undocumented revisions, and the risk of counterfeit parts, which can lead to performance deficiencies and reliability issues, particularly in military or aerospace applications, where stringent specifications must be met. Existing non-destructive analysis (NDA) techniques are often time-consuming and inadequate for detecting certain types of flaws.
Innovation Solution
A multispectral inspection (MSI) system that includes an optical imaging scanner, a terahertz imaging scanner, and functional imaging scanners, along with an electronic processor, to acquire and analyze images of printed circuit boards (PCBs) using multiple modalities such as visible, infrared, and electromagnetic interference imaging. This system generates a 3D signature for each component, employing artificial intelligence classifiers to verify compliance with specifications and detect counterfeits.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple imaging modalities are used to inspect electronic components, then detection accuracy and reliability are improved, but inspection time and system complexity increase
Solution Approach 1:
The inspection system divides the electronic component into multiple regions of interest and inspects different regions using different imaging modalities simultaneously. For example, optical imaging is used for surface features while X-ray imaging is used for internal structures, allowing parallel inspection that reduces total inspection time while maintaining high detection accuracy.
Solution Approach 2:
The system merges multiple imaging modalities (optical, X-ray, thermal, etc.) into a single integrated inspection system that processes multiple data streams simultaneously. This consolidation allows the system to leverage the strengths of each modality while reducing the cumulative inspection time that would result from sequential inspection of each modality separately.
2Reliability
If multiple imaging modalities are used to inspect electronic components, then detection accuracy and reliability are improved, but device complexity increases
Solution Approach 1:
The inspection system is designed as a multi-functional platform that can perform multiple types of inspections using different imaging modalities. The system includes a unified control architecture and common data processing infrastructure that supports various imaging techniques, reducing the overall complexity that would arise from having separate dedicated systems for each modality.
Solution Approach 2:
The system introduces an intermediary data fusion layer that integrates data from multiple imaging modalities. This intermediary layer processes and correlates information from different sources, managing the complexity of multiple modalities by providing a unified interface for analysis and reducing the burden on individual imaging subsystems.
3Manufacturing precision
If detailed inspection of all components is performed, then quality assurance is improved, but productivity decreases
Solution Approach 1:
The system applies different levels of inspection detail to different regions of the electronic component based on their risk profiles and importance. Critical areas such as solder joints and high-density interconnect regions receive detailed multi-modal inspection, while less critical areas receive streamlined inspection, maintaining high quality assurance for critical components while improving overall inspection throughput.
Solution Approach 2:
The system performs full detailed inspection only on components or regions that are identified as high-risk or non-compliant during preliminary screening. Components that pass initial screening receive reduced inspection, allowing the system to maintain high productivity while ensuring thorough quality assurance for components that require it most.
Data Source
AI summary
A multispectral inspection (MSI) device for analyzing an electronic item having a printed circuit board (PCB). An electronic power supply powers the electronic item in accordance with one or more test vectors. An optical imaging scanner, terahertz (THz) imaging scanner, and a functional imaging scanner are each operative to scan the electronic item. An electronic processor is programmed to scan the various scanners and control the power supply to acquire optical, THz, and functional images of the electronic item. The images are combined to form a standard three-dimensional (3D) signature and artificial intelligence (AI) classifiers are applied to the 3D signature to perform non-destructive analyses of the electronic item.