Machine Intelligence to Automate Maintenance Process in Manufacturing in Washington


Automated Maintenance using machine intelligence – Overview

  • Keeping issues from happening before they affect operations, processes, goods, or networks is referred to as service.
  • Information is collected across time to monitor the condition of the machinery in the maintenance framework.
  • The purpose of the application in maintenance automation is to quickly analyse massive amounts of real-time data in order to predict asset degradation intelligently.
  • It includes being able to preserve the correct operation of their mission-critical products.

Automate Maintenance using machine intelligence – Top 4 Advantages

  • Improve Productivity
  • Improve Operational Efficiency
  • Improve Business Efficiency
  • Improving Employee Satisfaction

How have We Implemented Machine Intelligence to Automate the Maintenance Process in the Manufacturing industry?

Solution Overview

  • The Vision Intelligence enabled us to build a DIY (Do-It-Yourself) Machine Learning platform to upload images, tag components installed, and train Segmentation algorithms.
  • These algorithms will assist the inspection team to automate most of the inspection, take measurements, and compile audit reports.

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Business Value

  • Automating inspection using computer Vision Intelligence is a key differentiator amongst their competitors.
  • This automation has offered tremendous value, cost-saving, and ROI for the client compared to manual inspection, which had been the industry standard.
  • The inspection data can be updated and tagged, and Image segmentation models can be trained by non-technical team members easily in the web-based portal.
  • Trained models can be deployed in on-premises or cloud infrastructure.

Tech Stack

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