产品组装后的防错检查
技术
- 分析与建模 - 计算机视觉软件
- 分析与建模 - 机器学习
适用行业
- 汽车
适用功能
- 离散制造
- 质量保证
用例
- 计算机视觉
服务
- 系统集成
挑战
在汽车主机厂的总装车间，汽车生产的最后一道工序仍然需要依靠大量的人力来组装车身。对于车灯检测现场，由于混产检测，检测人员完全依靠经验对模型进行检测。此外，由于流水线上光线干扰严重，检测人员还需要避免外部光源对车灯检测的干扰，检测周期短，对车辆检测速度也有较高要求。检查员。
目前，传统人工质检面临质量、特殊场景响应、信息整合等问题：
1 质量：在人工质检中，需要有经验的质检人员根据20+种车型，准确了解哪些零件配备哪些车型。对人的体验要求高，新员工对模型不熟悉。错过检查会有问题。
2 在强光源长时间照射的情况下，需要做好相关的人体防护，防止眼睛长时间暴露在光源下。
3 信息整合：目前无法对模型和灯具的材质进行匹配，材质偏差无法追溯。
解决方案
5G+AI质检解决方案，融合AI深度视觉检测技术和5G通信技术，根据MES系统BOM数据自动识别不同机型。
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