Top 4 Advantages of Using Machine Intelligence to Automate Maintenance Process in Manufacturing!

Automated Maintenance using machine intelligence — Overview

· Maintenance refers to anticipating and addressing potential issues before they lead to breakdowns in operations, processes, services, or systems.

· In the maintenance framework, data is collected over time to monitor the state of equipment.

· The artificial intelligence purpose in automating maintenance is to Analyse massive real-time data speedily to predict asset failure intelligently.

· It helps manufacturers can keep their mission-critical assets running at peak performance.

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.

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

Market Size: Machine Learning in Manufacturing Industries

The global machine learning (ML) market is expected to grow from $21.17 billion in 2022 to $209.91 billion by 2029, at a CAGR of 38.8% in the forecast period