商品
提供
Eigen Innovations 提供工程服务和 OneView 视觉管理软件,帮助离散和连续制造领域的制造商充分生成数据和分析,从而检测和防止各个机器、生产线和工厂之间的产品和工艺变异性。它配备有采用英特尔® 技术、经 OpenVINO™ 优化的边缘设备,可从摄像头传感器采集图像数据,并在机器和 PLC 中处理这些数据。数据经过增强、标准化和关联,可为每个受监控产品或零件构建数字孪生。工厂团队利用数字记录来构建机器学习模型,这些模型将被重新传送到边缘设备,从而实时预测工艺和质量偏差。跨多台机器和多条生产线进行部署时,标准化数据有利于进行高级分析和获取洞察,提供一致的指标,并能够推动更大范围内的持续改进。Eigen OneView 是一款端到端视觉解决方案管理软件,使制造商、集成商和自动化解决方案提供商能够对集成视觉解决方案进行标准化和扩展。单独部署时,这些工具和服务可升级现有的机器视觉系统,实现企业范围内的数字化转型和自动化。采用 OneView 管理视觉解决方案的制造商可以降低产生缺陷的风险,减少浪费并缩短设备停机时间,每条生产线每年可以节省数十万美元的成本。虽然致力于提供跨各种制造应用的部署,但 Eigen 也开发了一些针对特定应用的解决方案:面向塑料制造的集成机器视觉;面向金属制造的集成机器视觉;面向工业涂料应用的集成机器视觉;面向纺织制造的集成机器视觉;以及面向造纸业的工业机器视觉。有关这些解决方案和特定案例分析的更多信息,请参阅本解决方案概述随附的宣传材料。
提供
Eigen's vision system for plastics manufacturing focuses on ensuring quality and process consistency. By capturing thermal images and correlating process data, it creates digital records of each weld, detects defects, and monitors variations in real-time. The system's insights enable operators and engineers to minimize process variation and prevent quality issues, optimizing the manufacturing of safety-critical plastic automotive parts like fuel tanks.
提供
Eigen's machine vision solution for painted parts makes automated part-over-part quality and process monitoring a reality on your paint line. It captures and correlates image and process data for every part and delivers alerts when issues or anomalies are detected. Standardized part records allow you to analyze trends and receive insights to connect the dots between defects and process variation and avoid issues in the future.
提供
In continuous and discrete textile manufacturing, traditional inline line scanner systems or human inspectors cannot detect subtle surface defects. Eigen’s machine vision solution leverages thermal cameras and special lighting techniques to make even the most subtle surface defects visible. Images and correlated process data are used to monitor quality and process issues, allowing manufacturers to avoid shipping defective parts.
提供
Eigen Metal Welding 利用最先进的技术和设备为工业应用提供精密焊接解决方案。它可以满足汽车或航空航天制造等行业对高强度和高精度金属焊接接头的需求,在这些行业,保持一致的质量和可靠性极为重要。
提供
Eigen’s machine vision solution for paper manufacturing goes beyond quality inspection. In specialty paper manufacturing, it allows manufacturers to avoid unnecessary downtime and equipment damage. By collecting and correlating image and process data, our solution identifies quality defects and monitors critical process conditions such as those related to coating applications. The correlated data is used to generate and deploy machine learning models that alert operators when quality/process issues are detected or automatically unload the calendars when a significant event occurs