As semiconductor and electronic manufacturing processes approach the micron or even sub-micron level, the traditional "human eye + experience" quality inspection model is no longer sustainable. Major outstanding enterprises in the industry are collectively presenting a new "AI + 3D + intelligent factory" solution. From AI deep learning algorithms to industrial CT three-dimensional reconstruction, from advanced packaging inspection to comprehensive quality control of new energy vehicles, the intelligent inspection industry is undergoing a profound transformation from "passive control" to "active empowerment".
1. AI is deeply integrated, transforming from an "auxiliary tool" to a "core engine".
The industry has moved beyond the traditional algorithm stage and has fully entered the deep integration period of "AI + inspection". Enterprises generally apply AI deep learning and large model technologies to the entire process of programming, re-inspection, and defect detection. The core objective is to solve the three long-standing problems of "high false alarms, high missed detections, and complex programming" and achieve cost reduction, efficiency improvement, and intelligent upgrading.
2. 3D inspection becomes the mainstream standard, and technology extends to high precision and complex structures.
To meet the demands of advanced packaging, Mini/Micro LED, high-density PCB, etc., 3D inspection (3D AOI/SPI/AXI) has become the industry standard. The technical focus is shifting from planar inspection to precise measurement of micrometer-level three-dimensional structures, internal hidden defects, and complex irregular components. High-precision 3D measurement, industrial CT, laser linear scanning, and other cutting-edge technologies are the core competitive points of industry manufacturers.
3. Advanced packaging and emerging applications drive the upgrade of inspection technology.
With the explosion of advanced packaging technologies such as SiP, HBM, CoWoS, and high-performance applications such as AI servers and automotive electronics (especially EV), higher requirements have been imposed on the speed, accuracy, and intelligence level of inspection equipment. Enterprises are launching dedicated inspection solutions for specific objects, and the trend of specialized application scenarios is evident.
4. From "single-machine inspection" to "integrated solution for the entire intelligent factory process"
Enterprises no longer merely provide single inspection equipment but are committed to building a complete inspection loop covering SPI, AOI, and AXI processes and connecting data silos. Through equipment interconnection, data reflux and analysis, centralized AI re-inspection, and digital twins, the inspection process is transformed from a "quality gatekeeper" to a "process optimizer", becoming an important component of the intelligent factory.
5. The process of domestic substitution is accelerating, and the technical strength of local enterprises has significantly improved.
Many local enterprises have continuously broken through in core technologies such as 3D inspection, X-ray inspection technology, and AI algorithms, accelerating the realization of domestic substitution in mid-to-high-end markets and beginning to compete directly with international leading enterprises in high-end fields such as semiconductor post-processing inspection and industrial CT.