Close-up of a printed circuit board with integrated circuits, resistors, capacitors, and other electronic components.

AI PCB Inspection for Missing Components and Assembly Errors

Case Overview

Industry: Electronics

Solution: SolVision

SolVision was used for AI PCB inspection following the assembly of printed circuit boards for electronic products. The system inspects component placement and identifies missing parts and assembly errors that could affect PCB functionality.

SolVision software analyzes an assembled PCB and marks component locations and detected assembly errors during AI PCB inspection.
SolVision PCB Defect Detection Process

The Case

Post-Assembly Inspection of PCB Components

Printed circuit boards provide the platform for connecting and controlling components within electronic products. After assembly, each PCB must be inspected to verify that components are present, correctly positioned, and consistent with the intended board design.

Missing or incorrectly assembled components can prevent the PCB from functioning as intended. Rising production demand increases the need for an inspection method that can evaluate complex board layouts without extensive manual reinspection.

The Challenge

Component Variation and Rule-Based Inspection Errors

Assembled PCBs contain components such as resistors, capacitors, and transistors. The number, size, appearance, position, and assembly requirements of these components vary according to the PCB design.

Complex layouts and differences between components make inspection difficult for conventional rule-based vision systems. Detection errors can require operators to reinspect boards manually, adding another step to the quality inspection process and making it more difficult to meet production demand.

The Solution

AI PCB Inspection Using a Golden Sample

SolVision uses AI-based automated visual inspection to evaluate assembled PCBs against the expected component configuration. The inspection setup defines the assembly characteristics of each component, and the AI model learns the relevant visual features from a golden sample.

During production, the AI PCB inspection system compares assembled boards with the reference and identifies anomalies such as missing components and assembly errors. This enables boards with incorrect component configurations to be identified without relying solely on fixed inspection rules.

Missing Component and PCB Assembly Error Detection

Side-by-side PCB comparison showing the golden sample and SolVision defect detection output with bounding boxes around assembly errors.
Golden SampleDefects Detected

SolVision verifies the expected appearance and placement of components on the assembled PCB. Inspection results identify anomalies relative to the golden sample, supporting the review of components that do not match the expected assembly characteristics.

The Results

Reduced manual PCB reinspection
Improved detection consistency for missing components and assembly errors
Supported inspection across varied PCB layouts and component types