Hanul Semiconductor Completes Development of AI-Based MLCC Full Inspection System

Hanul Semiconductor has completed the development of an artificial intelligence (AI)-based full inspection system for multilayer ceramic capacitors (MLCC).

According to Hanul Semiconductor on July 20, the company is currently in discussions with global clients regarding the mass production supply of a next-generation ultrasonic MLCC full inspection system based on AI. This technology goes beyond simple inspection equipment and serves as an AI-driven manufacturing platform that can change the very method of MLCC production.

Conventional MLCC ultrasonic inspection equipment has been limited to a sampling method, inspecting only a portion of products due to speed constraints. However, as MLCCs are increasingly used in AI servers, electric vehicles, and autonomous cars, even the smallest defects can directly impact product reliability, which has elevated the importance of full inspection technologies that examine every item produced.

Hanul Semiconductor has implemented a system that combines high-speed ultrasonic inspection and AI-based defect analysis technologies, allowing for full inspection of all products while maintaining productivity. The system automatically detects minute internal defects and enables AI to determine defect status in real time, with inspection, quality control, and automatic mounting all integrated into a single piece of equipment. In addition, by combining an AI vision platform with a production line anomaly prediction function, the system analyzes inspection results in real time. By integrating with the manufacturing process, the company aims to evolve the platform into a physical AI and smart factory solution capable of managing quality and yield throughout the entire manufacturing process. As the AI industry expands, demand for MLCCs is also expected to rise, which in turn is anticipated to rapidly grow the inspection equipment market.

The MLCC ultrasonic inspection equipment market, in particular, has long been dominated by Japanese companies. Hanul Semiconductor has succeeded in localizing this key equipment and, by applying AI-based automatic inspection technology, is now seen as having achieved global competitiveness. As the stability of supply chains and technological self-reliance of core equipment are emerging as critical issues, this development is expected to mark a significant turning point for the domestic equipment industry as well.

A Hanul Semiconductor representative said, "In the AI era, quality reliability—not just speed—has become a much more important competitive advantage. We aim to accelerate our entry into the global market by advancing beyond simple inspection equipment to create a next-generation physical AI platform that realizes AI-based manufacturing innovation."

This content was produced with the assistance of AI translation services.