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
应用场景Application Scenario
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.
成果摘要Outcome Summary
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.
应用价值Application Value
该案例提升了产线质量问题的发现及时性，减少了单纯依赖人工经验造成的判断差异，并为后续质量追溯、工艺优化和人员培训提供了结构化数据基础。其价值不在于单一算法展示，而在于将视觉识别能力嵌入实际生产管理流程。The case improved the timeliness of quality issue identification, reduced judgment inconsistencies caused by reliance on manual experience, and provided structured data for quality traceability, process optimization, and staff training. Its value lies not in a single algorithm demonstration, but in embedding visual recognition capabilities into real production management workflows.
专家评价说明Expert Evaluation
AIET工程应用案例评议小组依据部署说明、验收记录和脱敏运行材料进行复核，认为该案例具有明确的应用场景、完整的技术闭环和较好的行业参考价值，可作为智能制造质检方向的工程应用样本。The AIET engineering application case review panel examined the deployment notes, acceptance records, and desensitized operation materials and concluded that the case has a clear application scenario, a complete technical workflow, and practical reference value for the industry. It may serve as an engineering application sample for intelligent manufacturing quality inspection.