Documentation

CBM Asset Classification using Machine Learning Module

roto_imageML.mlproj for iOS®/iPadOS®

  • Created: 11 Nov, 2021
  • Update: 16 Dec, 2021

If you have any questions that are beyond the scope of this document, Please feel free to email via info@rotovibes.com

Description

roto_imageML.mlproj is an iOS®/iPadOS® module that provides image recognition for the Condition Based Maintenance Industry. The library recognizes industrial assets and provides the metadata and tools to classify and identify them.

Installation

Follow the steps below to install the roto_imageML.mlproj module

  1. Drag and drop the roto_imageML.mlproj file into your Xcode project

Configuring your project

  1. Define the ML module in your image viewcontroller class:
    2. 
let assetClassificationModel = roto_imageML()

Testing

  1. Below is a simple test with different CBM assets


Changelog

See what's new added, changed, fixed, improved or updated in the latest versions.

Version 1.01 (16 Dec, 2021)

  • Updated Added more assets


Version 1.0 (11 Nov, 2021)

Initial Release