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Application

Artificial intelligence

The development of artificial intelligence (AI) technology is driving innovation and change in the PCB (printed circuit board) industry. AI application scenarios in PCB include: 

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Smart Manufacturing: AI technology is integrated into the PCB manufacturing process to optimize the production process and improve production efficiency. For example, machine learning algorithms can reduce false positives in automatic optical inspection (AOI) and improve the accuracy and efficiency of detection.

Design automation: AI can assist the PCB design process. Through generative design technology, it can explore the design space and quickly provide feasible design solutions, shorten the design cycle, and improve the design quality.

Quality control: In the production process of PCB, AI can be used for defect detection and classification to improve product quality and factory qualification rate.

Predictive maintenance: By analyzing equipment data, AI can predict equipment failures, reduce downtime, and improve the stability of the production line.

Smart factory: AI technology is combined with the Internet of Things (IoT) to achieve information sharing and collaborative work of equipment in the factory, improving overall production efficiency and management level.

Automated placement: In PCBA processing, AI-driven automated placement machines can quickly and accurately place components, improving production efficiency and accuracy.

Smart quotation and order processing:AI can process customer design data, automatically complete quotation and order processing processes, and improve efficiency.

ERP operation optimization: AI combined with ERP system can automate the order processing process, reduce the workload of data entry, and improve the intelligence of operation management.

Smart factory construction: The combination of AI technology with MES and CAM systems forms a data-driven center to monitor, predict and warn the production process in real time.

Industry big model: AI technology can train the PCB industry big model to realize the analysis, identification and understanding of customer order information, and support intelligent applications such as engineering drawing identification and parameter identification.


With the continuous advancement of AI technology, it is expected that its application in the PCB industry will become more extensive and in-depth, promoting the digital transformation and intelligent upgrading of the industry.