技术
- 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
- 机器状态监测
服务
- 系统集成
客户
宝马
库卡
关于客户
宝马——总部位于豪华汽车和摩托车的跨国企业制造商。
KUKA - 工业机器人和工厂自动化系统制造商。
挑战
制造商正面临与复杂的目视检查活动相关的风险挑战。每个制造商都需要许多人工检查员、操作员和工程师。他们承担着旨在识别数百个缺陷的重复性任务的全部工作量。这导致了主要的工厂劳动力成本、检查准确性和一致性问题、员工培训需求以及危险区域检查的潜在健康问题。
解决方案
视觉检测系统基于机器学习算法,并利用多种视觉检测模式,如杂质/高对比度区域、几何检测和验证、异常纹理和区域检测以及颜色/亮度特征提取和验证来确定质量缺陷。 (该系统可以检测的示例包括制动钳缺陷、车身车间和油漆车间缺陷或损坏、零件变形、备件碰撞和汽车仪表板划痕。)
IBM 解决方案套件的视觉检测功能集成在设备线和机器人技术中。在本次展示中,IBM 正在使用 Watson Visual Recognition Service 检查新 BMW 5 系的多个门把手是否存在制造缺陷。
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