Case Study: AI-Powered Failure Analysis and Inspection System Finds Issues Faster

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CUS Teledyne Flir机器视觉AI有源故障分析和检查系统发现问题更快[14]

由前Apple工程师创立,仪器是一个制造优化平台,主动地在装配线上出现的实时识别问题。他们的平台为工程师和制造团队提供了完整的数据记录,他们需要快速发现新问题,完整的故障分析,简明扼要地与工厂团队进行沟通,并在生产中进行过程改进。乐器帮助远程工程团队发现从线路的多个数据集之间的相关性,包括功能测试和视觉记录,以便在故障后面找到根本原因。

使用20个MP Blackfly S相机,仪器成像站捕获检查小型电子微型组件所需的高水平细节,其中非常小的错误可能导致故障(在其他几种应用中)。

Unique features and ease of integration provided by Spinnaker SDK combined with our renowned 20 MP Blackfly S USB3 cameras were ideal for Instrumental’s manufacturing optimization platform. The system aggregates images and functional test data from throughout the supply chain, leveraging artificial intelligence to automatically rank potential root causes, enabling customers to accelerate issue resolution, gain faster yield, and improve quality. Read along to learn more and contact a specialist about Instrumental’s inspection solutions and Teledyne FLIR machine vision cameras.

  • How Instrumental’s inspection platform delivers automated defect detection
  • 将根本原因分析和报告结合的平台功能
  • Benefits of secure product data management, and native collaboration tools
  • 为什么工具选择Teledyne Flir的20 MP滚动快门CMOS
  • Spinnaker SDK启用的独特功能,易用性和集成
  • How Teledyne FLIR enables Instrumental an easily customizable setup
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