Dimensional inspection serves as the quality gatekeeper in new energy manufacturing. By accurately measuring product dimensions, geometric tolerances, and surface defects, it ensures products meet design specifications. Its core value lies in guaranteeing assembly precision, improving product consistency, eliminating defective parts, and supporting process optimization. Excessive dimensional deviations in batteries, vehicle bodies, and components of new energy vehicles can cause assembly jams, sealing failures, insufficient structural strength, and other issues, severely impacting vehicle safety and durability. Online dimensional inspection detects production defects in real time, enabling timely process adjustments to avoid mass production of defective products and reduce manufacturing costs. Inspection data can be used for iterative process optimization, forming a quality closed loop of inspection–analysis–optimization to continuously elevate manufacturing levels.

In new energy vehicle manufacturing, Eunice’s 3D Vision Online Inspection System covers full-process inspection needs and achieves all-round quality control.

• Full-process inspection for battery manufacturing: cell dimensions, module flatness, battery box dimensions and sealing groove precision, pole position accuracy, PACK housing surface defects (dents, scratches). It fully guarantees dimensional accuracy and appearance quality of batteries, preventing assembly failure and poor sealing caused by dimensional deviations.

• Body manufacturing inspection: body-in-white welding dimensions, geometric tolerances of exterior panels such as doors and hoods, weld quality, and component assembly misalignment. It monitors body welding and assembly accuracy in real time to ensure consistent vehicle structure.

• Module and component assembly inspection: motor housing dimensions, electronic control component assembly accuracy, chassis component geometric tolerances. It covers full-dimensional inspection needs of core new energy components.

Intelligent online inspection represents the core competitiveness of Eunice’s 3D vision system, subverting traditional inspection methods. Centered on industrial robots equipped with 3D laser profilometers or industrial cameras, the system enables non-contact, high-precision, fully automatic online inspection with outstanding advantages:

• Non‑contact and non‑destructive: no contact with workpiece surfaces, avoiding damage to precision parts and suitable for fragile workpieces such as batteries and vehicle bodies.

• High precision: inspection accuracy reaches ±0.02 mm, capable of identifying micron‑level defects and accurately measuring flatness, position, step‑over, and other indicators.

• High‑efficiency full inspection: inspection speed matches production tact; single workpiece inspection time ≤ 10 seconds, realizing 100% full inspection instead of traditional sampling.

• Flexible adaptation: supports rapid product changeover; inspection programs can be imported to adapt to different products without tool changes, meeting the needs of multi‑variety collinear production.

• Full automation: operates without manual intervention, automatically loading, inspecting, unloading, and sorting defective products, realizing unmanned inspection.

Eunice has built an AI‑enabled visual intelligent inspection solution focused on technology integration, production line integration, and data value.

• Technology integration and innovation: deeply integrates artificial intelligence and industrial large‑model technologies with self‑developed defect recognition algorithms. It intelligently identifies dozens of anomalies including dimensional deviations, dents, scratches, and weld defects with a recognition accuracy rate ≥ 99.5%, while supporting statistical analysis of inspection data and abnormal early warning.

• Seamless production line integration: provides standardized inspection station solutions that can be directly integrated into welding lines, assembly lines, and PACK lines without occupying extra production tact. Inspection runs synchronously with production, improving overall line efficiency.

• Data value mining: inspection data is uploaded to the MES system in real time to establish product quality files and achieve full lifecycle traceability. Through big data analysis of defect patterns, it provides feedback for process optimization, forming a closed loop of manufacturing quality improvement and continuously helping customers enhance product quality.

Quality is the lifeline of new energy vehicles, and inspection is the first line of defense for quality. Eunice’s 3D Vision Online Inspection System safeguards new energy vehicle manufacturing with high‑precision, intelligent, and full‑process inspection capabilities. From precise dimensional inspection of batteries to geometric tolerance control of vehicle bodies, from component defect identification to production line quality closed loops, Eunice uses discerning vision technology to solidify the cornerstone of quality and prevent defective products from reaching the market. In the future, the company will continue to iterate 3D vision and AI inspection technologies, deepen focus on new energy quality control, and build smarter, more efficient, and more precise online inspection solutions. It will help new energy vehicle manufacturing achieve full‑process quality upgrading and guard the safety and reliability of every new energy vehicle through strict inspection.