Technology as Foundation | Whole-Domain Intelligent Inspection: Lyric's Online CT Inspection Equipment Reinforces Quality Defenses in Lithium Battery and AI Computing Power Sectors

High-end manufacturing is currently advancing rapidly toward higher precision, reliability and production capacity. From new-energy lithium batteries to AI computing hardware, the internal quality of core components directly determines product performance and safety thresholds. Traditional offline inspection requires removing workpieces from the production line for separate testing, which introduces pain points such as delayed quality control, insufficient sampling coverage, and poor consistency in manual judgment—making it difficult to meet the full-scale, 100% quality control requirements of mass production. Deeply embedding high-precision 3D inspection into the production chain to achieve "synchronized production and inspection" for online quality control has become a core direction for improving quality and efficiency in high-end manufacturing. Leveraging a foundation of precision X-ray imaging technology, Lyric's online CT inspection equipment bridges the gap between automated production lines and intelligent algorithm pipelines, creating a "smart production-line eye" that combines accuracy and efficiency for high-end manufacturing across multiple sectors, reshaping the value boundaries of industrial quality inspection.

Technology Core and Production Line Integration

The core breakthrough of Lyric's online CT inspection equipment lies in achieving a deep integration of high-precision cone beam CT technology with production line automation, completing a paradigm shift from 'offline sampling inspection' to 'online full inspection.' The equipment adopts a dual path collaborative inspection architecture combining CT and DR: cone beam CT scanning reconstructs the internal 3D structure of workpieces, automatically identifying microscopic defects such as layer misalignment, dimensional deviations, and morphological anomalies; while DR planar imaging, coupled with AI vision algorithms, rapidly screens for obvious issues like large area wrinkling, foreign material inclusions, and structural fractures. This technical system possesses a high degree of flexible adaptability. In the lithium battery sector, it can cover comprehensive inspections including cell four‑corner wrapping, tab morphology, electrode layer count, and more; in AI computing hardware, it is adaptable for internal defect and assembly precision inspections of chip packages, thermal modules, and server core components. The equipment is deeply embedded into automated production lines, covering the entire process of automatic loading/unloading, code scanning for traceability, precise positioning, intelligent inspection, and sorting/diversion. The entire workflow of workpiece transfer and decision‑making is carried out without human intervention, achieving efficient synchronization between high‑precision quality inspection and production line takt time.

Performance Parameters and Configuration System

The core challenge of online inspection lies in balancing inspection takt time with imaging accuracy. Lyric's online CT equipment achieves a precise balance between efficiency and accuracy. In terms of measurement precision, the equipment attains a repeatability accuracy of ±50 μm and a process capability index Cgk ≥ 1.67, maintaining high measurement stability at the micron scale and accurately capturing sub‑millimeter internal defects and dimensional deviations. In reliability verification, through continuous operation and testing with multiple batches of defective samples, the core inspection items achieve a 0% miss rate, ensuring zero escape of non‑conforming products. In terms of production line integration, the positioning accuracy of the equipment actuator reaches ±0.2 mm, enabling rapid workpiece handling and alignment to accommodate high-speed mass production cycles. The software system incorporates a full-lifecycle data management platform supporting image archiving, barcode traceability, real-time yield monitoring and over-limit alarm for anomalies. It can connect to enterprise MES systems to achieve end-to-end data connectivity. For safety, the system adopts a multi-layer protection scheme consisting of lead-shielded enclosure, door interlock and real-time radiation monitoring. Fully compliant with industrial radiography safety standards, it ensures long-term stable equipment operation.

Value Creation and Production Line Empowerment

The value of online CT inspection equipment extends beyond mere improvements in detection accuracy—it reshapes the temporal and spatial boundaries of quality control in high-end manufacturing. For lithium battery manufacturers, embedding inspection directly into the production line enables “zero‑latency” quality control: defective products are instantly identified and diverted, eliminating the time lag and batch risks associated with offline testing. The 0% miss rate reinforces the safety baseline of battery cells, nipping potential hazards in the bud at the manufacturing stage. The fully automated inspection mode breaks through the efficiency bottleneck of manual operations, supports 24/7 continuous operation, and eliminates human judgment variability. 

For the AI computing sector, high-precision inline CT enables non-destructive testing of internal packaging structures, welding interfaces and heat dissipation channels. It safeguards the long-term reliability and operational stability of computing hardware, meeting the stringent high-yield requirements for core components within the computing industry. Its deeper value lies in data-driven quality improvement. Leveraging capabilities including process capability monitoring, yield trend analysis and anomaly early warning, it drives the transformation of quality control from "post-event traceability" to "real-time early warning and proactive prevention". It provides a data foundation for process iteration and capacity optimization, supporting enterprises to advance toward higher-level smart manufacturing.

From offline sampling inspection to online full inspection, from manual judgment to AI‑powered recognition, and from single‑scenario application to whole‑domain adaptability—Lyric’s online CT inspection equipment is propelling industrial quality inspection technology to new heights. As high‑end industries such as new‑energy and AI computing evolve toward higher standards and smarter manufacturing models, online 3D inspection technology will become an indispensable core infrastructure within intelligent manufacturing systems. Rooted in technological excellence and driven by craftsmanship, Lyric is leveraging its precision inspection capabilities and deep production‑line integration expertise to fortify every quality defense line for the high‑quality development of the high‑end manufacturing industry.