blue printed circuit board

SolVisionCase Study

PCB Inspection Using AI


PCB Assembly for Electronic Products

Printed circuit boards (PCBs) are the central backbone of electronic devices, serving as the platform for integrating various electronic elements. Following assembly, meticulous inspection becomes imperative to confirm the precise alignment and placement of components, matched with their designated serial numbers. This scrutiny is paramount to guarantee the functionality of the PCB.

PCB inspection using SolVision AI vision software


Inspecting Diverse PCB Components

Assembled PCBs contain a diverse array of electronic components, including resistors, capacitors, and transistors, each positioned according to the circuit’s layout and characteristics. These components exhibit variations in number, size, appearance, and assembly specifications, all essential for optimal PCB functionality. However, conventional rule-based inspection systems frequently encounter errors due to the complexity of PCBs, often requiring manual reinspection to improve detection accuracy. To meet rising production demands, there’s a pressing need for a more efficient inspection solution.


Enhancing PCB Inspection Efficiency with AI

SolVision utilizes Solomon’s cutting-edge AI technology to optimize PCB inspection. It begins by meticulously defining the unique assembly characteristics of each component on the assembled PCB. The AI model learns to discern these characteristics using advanced image processing techniques, leveraging a golden sample as a benchmark. This approach facilitates the seamless identification of defective components, enabling real-time detection of anomalies like missing parts or assembly errors. As a result, production yield and quality are significantly enhanced, ensuring optimal performance of electronic devices.

Defect Detection

PCB golden sample (left) and defects detected (right)

Golden Sample

Anomalies Detected


Enhanced production yield and quality assurance
Improved inspection accuracy and efficiency
Adapted to diverse PCB components
Related Posts
  • Inspecting Packaged Semiconductor Chips

    The Anomaly Detection tool uses deep learning technology to teach the AI model sample images of “perfect” wafers.
  • Visual Inspection of Glass Bottles

    Through advanced image processing, SolVision can fully automate inspection processes to detect production flaws.
  • AI Visual Identification and Classification of Cells

    Deploy SolVision’s advanced AI model to identify and classify cells where traditional AOI systems are insufficient in detecting and determining cell variations
  • AI Inspection for Semiconductor Components

    Overcoming traditional AOI limitations, Solomon’s SolVision quickly performs OCR without being affected by background or lighting conditions, complexity, or appearance of the serial number.