Modern electronics manufacturing is no longer solely about the speed of machines, but also about the intelligent use of data. By 2024, artificial intelligence (AI) and machine learning have stepped out of research laboratories and become an integral part of SMT (Surface Mount Technology) production lines. But what does this mean in practice?
Real-time intervention and defect prevention. Earlier automated optical inspection (AOI) and solder paste inspection (SPI) systems were primarily designed for the retrospective detection of defects. Today’s AI-driven production lines, however, analyse data immediately in real time. If the SPI system detects a minimal deviation during paste printing, the AI algorithm instantly feeds back to the paste printer to correct the parameters before a defective panel is produced.
Predictive maintenance for maximum uptime. Downtime is one of the greatest enemies of manufacturing. The sensors of smart SMT equipment continuously monitor the condition of moving components — such as placement heads (nozzles) and motors. Artificial intelligence predicts failures from minor vibration or temperature changes, making maintenance plannable and avoiding unexpected stoppages.
More efficient production planning. AI algorithms are also capable of optimising placement programmes within seconds. They take into account the positioning of components in feeders and calculate the fastest route for the placement head, thereby significantly increasing the CPH (Components Per Hour) metric.
At S378 SMT Solutions, we are committed to making these Industry 4.0 technologies accessible to our partners, ensuring a continuous competitive advantage.
