AI improves PCB layout and inspection efficiency and accuracy
Most designers design and route printed circuit boards (PCBs) manually are complex and time consuming. The use of artificial intelligence (AI) technology to support related operations has great potential and is expected to significantly improve the efficiency and accuracy of PCB layout and inspection. Including process simplification and improvement of results also have the opportunity to reach an unprecedented level, will create a new situation for the PCB manufacturing industry and create huge business opportunities.
According to reports, the rapid development of AI technology and practical applications are also reshaping the way people live and work. The long-term goal of many researchers is to create AI technologies that can bypass the analogy and deal with general problems, and can transcend human performance in any cognitive work. At present, AI can strengthen real-time communication between automation systems and between automation systems and operators, assist manufacturing to increase production capacity and reduce scrap rate, and strengthen the management efficiency of assets, inventory and supply chain.
The AI technology used in the existing AI system is narrow in scope and difficult to use. It can only be processed according to the data of the training algorithm, such as detecting network threats, driving vehicles, facial recognition, internet search, PCB component placement. Specific issues such as placement, PCB inspection, solution equations, etc., but the level of specialization that can be achieved may even outweigh humans.
As the manufacturing industry moves to Industry 4.0 and the smart factory, the introduction of AI technology in PCB manufacturing is critical, and as AI technology becomes mainstream in PCB manufacturing and even the entire electronics industry, the future It will be a key core to ensure the success of the program. It is expected that AI technology will have a positive impact on operating procedures and speed, trust and reliability, and will greatly contribute to the transformation of the PCB manufacturing industry.
As the size of PCBs shrinks, the requirements for arranging components are getting higher and higher. The precision placement tool for PCB components with built-in AI technology allows manufacturers to more precisely arrange components on PCBs. The placement position is optimized to improve PCB performance and assembly efficiency. In addition, the application of AI technology to PCB manufacturing inspection operations can reduce the detection range according to the position where defects occur frequently, which can reduce the cost and time required for detecting PCB.
One of the main applications of automated optical inspection (AOI) solutions in PCB manufacturing is classification, which is usually performed by AOI devices to transmit images to remote multi-image verification workstations by human operators. Judgment is true or false, but it is inevitable that there will be errors and omissions when handled by humans. The AI solution is trained by the judgment of human operators, so it is capable of autonomously performing classification judgments with consistent correctness.
But to achieve the desired performance, you must train with the correct data pattern in order for the AI system to gradually learn the correct algorithm behavior. In addition, even if the most subtle data changes will completely reverse the results of the AI system judgment, visible data is one of the keys to AI application. Without high-quality, label-labeled information, AI technology will be useless, so AI system The sensitivity of the data is very important.