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Qsee
概述
公司介绍
QSee – 自动化质量预测分析，帮助流程制造商在流程早期预测和预防有缺陷的产品。 Qsee 4.0 质量控制提供预测性洞察，以实现更好的质量和更少的停机时间。一家以色列初创公司，开发尖端的人工智能技术，利用最先进的、专有的、质量预测/规范性分析方法来制造质量控制空间的过程。
物联网解决方案
机器学习软件通过将机器数据与质量结果（通过/失败或多次失败状态）相关联，为每台生产机器/生产线构建 AI 模型。 AI 引擎会根据每个机器变量（及其组合）生成详尽的假设范围，并测试这些假设以确定哪些因素会导致/预测质量故障。模型运行后，软件会提前实时预测每个生产产品/批次的产品质量结果（正确质量的可能性百分比）。
主要客户
流程制造公司
技术栈
Qsee的技术栈描绘了Qsee在分析与建模等物联网技术方面的实践。
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设备层
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边缘层
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云层
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应用层
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配套技术
技术能力:
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弱
中等
强
实例探究.
Case Study
Process Predictive Analysis in Pulp and Paper Mill
Common paper breaks consequently lead up to 60 minutes of downtime, delaying a potential $10K per hour of production value process. Thus, defective products cause financial and damage company's reputation. Improving quality and reducing defect rates can generate millions of dollars of revenue per year for your company.
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Supplier
Eigen Innovations
Eigen Innovations provides solutions that combine the data being produced by traditional Operational Technology running within industrial environments with Information Technology that uses cloud-based computing and advanced Data Science. This convergence creates unique opportunities for significant process efficiency gains within industrial manufacturing.Year founded: 2012
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Unioncrate
Union Crate helps consumer goods companies build and manage supply chains that can keep up with the consumer of today. Based in New York City, we are a team of CPG veterans, rebels, and nerds who believe that the future of supply chain will be driven by AI. It powers everything we do. We are obsessed with helping our clients take back the invaluable time, money, and resources that are far too commonly lost by relying on archaic supply chain management systems. That's why we've built an intelligent platform designed specifically for the complexities of a consumer goods industry that's needlessly stuck in the past.
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Supplier
Noodle Analytics
Noodle.ai offers pioneering business solutions in Enterprise Artificial Intelligence, a unique collaboration among business executives, process experts, and Artificial Intelligence technologies (e.g., Machine Learning, predictive data analytics, data science). The company creates and implements these solutions to solve complex business challenges and drive dramatic improvements in customer, product, and enterprise operations.
