close-up of PCB assembly

META-aiviCase Study

PCB Assembly Verification Using AI

Customer

The customer is a leading IPC manufacturer, specializing in industrial computing solutions including x86 and RISC architecture-based products such as motherboards, computing systems, panel PCs, computer-on-modules, and IoT-ready devices.

Case

Streamlining PCB Assembly

In electronics manufacturing, precision is crucial, particularly when assembling Printed Circuit Boards (PCBs) with multiple connectors. To maintain accuracy, assembly line workers receive training via instructional videos. Subsequently, the assembled PCBs undergo manual inspection to verify correct assembly.

close-up of PCB assembly

Challenge

Limitations of Video Training and Manual Inspection

The reliance on training videos followed by manual inspections presents challenges in maintaining efficiency and ensuring quality assurance. The small size of connectors heightens the risk of errors during assembly, potentially resulting in misalignments or incorrect connections. Moreover, manual inspection consumes substantial time and resources. Consequently, the current process struggles to efficiently detect assembly errors, contributing to a notable 3% failure rate.

Solution

Real-time Guidance for Enhanced PCB Assembly

META-aivi, Solomon’s AR + AI vision system, offers a comprehensive solution to these challenges faced in PCB assembly. Using a mounted tablet, META-aivi provides real-time guidance to assembly line workers, ensuring each step is executed correctly according to standard operating procedures. The system validates each step in real-time, displaying ‘OK’ or ‘NG’ (not good) on the device screen for immediate feedback. This integration of AR + AI technology significantly enhances efficiency and accuracy in the assembly process while reducing reliance on manual inspection. META-aivi can also be used in PCB components inspection.

Outcome

Increased assembly accuracy
Reduced inspection fail rate
Increased inspection efficiency
Related Posts
  • a forklift truck drives past stacked shelves insides a warehouse

    Inventory Management Using AR + AI

    META-aivi improves logistics efficiency with smart inventory management. AR + AI enhances counting accuracy, reduces human error, and streamlines workflows.
  • Inspection engineers preparing to rappel down a rotor blade of a wind turbine in a wind farm on a clear day with blue sky

    Wind Turbine Inspection Using Drones + AI

    META-aivi maximizes wind turbine inspection efficiency with AI-powered drones, mitigating human error in onshore and offshore wind farm maintenance.
  • Intelligent Remote Facility Management

    Machine vision is utilized to perform Optical Character Recognition (OCR). This information is sent to the cloud to create an inspection report, allowing plant operators to easily monitor facility inspection through mobile devices.
  • PCB Inspection Using AR Glasses

    Using AR glasses and our easy-to-operate wearable AI, operators are able to accurately identify PCB components and verify that they have been placed correctly.