智能视觉质检系统在精密零部件产线中的应用 Application of an Intelligent Visual Quality Inspection System on a Precision Component Production Line
脱敏项目编号 AIET-EAC-2026-01。案例来自一条精密零部件连续生产线,原有质检流程依赖人工抽检和离线复核,难以及时识别微小划痕、装配偏差及表面污染等问题。项目围绕在线检测、异常复核和质量追溯三个环节进行系统化应用。Desensitized project code AIET-EAC-2026-01. The case comes from a precision component production line where the original inspection process relied on manual sampling and offline review, making it difficult to identify minor scratches, assembly deviations, and surface contamination in time. The application focused on online inspection, exception review, and quality traceability.
项目采用多角度工业相机、光源控制、缺陷识别模型和质检记录管理模块,形成从图像采集、缺陷分类、人工复核到批次追溯的闭环流程。脱敏材料包括系统部署说明、检测流程图、阶段性验收记录、模型复核记录和应用单位说明,能够支撑该成果的工程应用过程和可复核性。The project integrated multi-angle industrial cameras, lighting control, defect recognition models, and quality inspection record management modules to form a closed-loop workflow from image capture and defect classification to manual review and batch traceability. The desensitized materials include deployment notes, inspection workflow diagrams, phased acceptance records, model review records, and an application statement, supporting the case’s engineering application process and verifiability.