让工厂更智能——视觉质量检测取代传统方式
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
在流水线生产和产品质量检测方面，有时需要人工观察、识别和发现生产过程中的错误和遗漏。一个人的责任心再强，再专注，也可能会疲倦、被忽视、心烦意乱，更何况，对熟人的错误视而不见，导致次品流出去市场。同时，如果在流水线上采用全人工检测方式，不仅工作量大，而且相当耗时。在现代化的生产线上，这样的检测方式是不能接受的，更重要的是，它对生产本身没有任何附加价值。
解决方案
IBM的认知视觉检测技术可以通过高精度摄像头放大产品的表面细节，在细微的层面上拍照和分析，可以检测出人眼无法发现的质量问题，如PCB板缺陷、手机元器件缺陷、液晶缺陷、晶片缺陷、光学透镜缺陷等。
IBM 的认知视觉检测技术已应用于汽车行业，帮助领先的汽车工厂实现对汽车零部件、焊接、涂装等工艺的高精度检测。 IBM认知视觉检测系统可以根据车辆模型的3D数据制定机械臂的动作路径，配合矩阵式工业相机和辅助光源完成整车360度高清拍照.
运营影响
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
相关案例.
Case Study
Integral Plant Maintenance
Mercedes-Benz and his partner GAZ chose Siemens to be its maintenance partner at a new engine plant in Yaroslavl, Russia. The new plant offers a capacity to manufacture diesel engines for the Russian market, for locally produced Sprinter Classic. In addition to engines for the local market, the Yaroslavl plant will also produce spare parts. Mercedes-Benz Russia and his partner needed a service partner in order to ensure the operation of these lines in a maintenance partnership arrangement. The challenges included coordinating the entire maintenance management operation, in particular inspections, corrective and predictive maintenance activities, and the optimizing spare parts management. Siemens developed a customized maintenance solution that includes all electronic and mechanical maintenance activities (Integral Plant Maintenance).
Case Study
Monitoring of Pressure Pumps in Automotive Industry
A large German/American producer of auto parts uses high-pressure pumps to deburr machined parts as a part of its production and quality check process. They decided to monitor these pumps to make sure they work properly and that they can see any indications leading to a potential failure before it affects their process.
