Maximo Visual Inspection: An Intelligent Way to Detect Asset Anomalies With Computer Vision

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    Maximo Visual Inspection, a part of the IBM Maximo Application Suite (MAS8), uses computer vision to improve uptime and reduce asset failure. With superior visual detection for assets, IBM Maximo Visual Inspection provides detailed inspection capabilities along with flexible training for new employees. Maximo Visual Inspection helps quality professionals increase adaptability and reduce production issues.

    What Are Some of The Capabilities of IBM Maximo Visual Inspection?

    IBM Maximo already has a robust catalog of applications, but what Visual Inspection brings to the table is truly all-encompassing. Between its computer vision capabilities, deep learning vision models, and intelligent interface, Maximo Visual Inspector brings a productivity-based model to preventative maintenance. However, here are some of the standout capabilities of IBM Visual Inspector.

    Image Classification

    One of Maximo’s most notable capabilities throughout all versions is the ability to classify data. Visual Inspection brings that to the next level with Image Classification. Maximo Visual Inspection’s streamlined user interface allows detailed image classification with simplified computer vision. Visual Inspection users are able to assign recognizable visual data, such as pictures of assets, to a data set inside of Visual Inspection. This allows users to deploy data sets that will help field user new and old spot issues within milliseconds. Providing real-time analysis of Image Classification in Inspector also allows companies to bring data and train employees to increase uptime and reduce defects.

    Object Detection

    When there are several different types of items in an image, you turn Object Detection. Object Detection is Visual Inspection’s way of identifying different types of items in a single image. With the increased level of specificity for item and category identification, Object Detection is here to improve error and defect identification. As well, with Object Detections multi-category capabilities it can help to execute root cause analysis.

    Remote Monitoring

    One of the most unique and powerful capabilities of Visual Inspection is its remote monitoring capabilities. Sometimes failure can happen when nobody is looking and that’s where remote monitoring comes in. Bringing asset monitoring to life, remote monitoring allows asset managers to inspect, diagnose, and rectify emerging issues.  With model templates provided by IBM and custom model support import, businesses can build alerts based on what matters most to them. With real-time monitoring, remote monitoring adds the ability to execute root cause analysis before any critical failure occurs. As well, with remote monitoring businesses get the flexibility to train their employees based on what matters to them and what they have experienced.


    What is Watson Visual Recognition?

    We’ve discussed how to classify and categorize images and video manually but how not let’s explore some more advanced versions with Watson Studios Visual Recognition. With the growing functionality of Artificial Intelligence, often referred to as AI, and the deployment of deep learning models, business analytics has become almost second nature to the maintenance world. With IBM Watson Studios Visual Recognition, you can take your image and video classification to the next level. With built-in and custom models for image/video classification, Visual Recognition helps to deploy deep learning vision for any business.

    Here are a few of the available models:

    General Model– provides thousands of classifications and allows you to upload your own images or extract relevant images from the URL of public web pages. Being provided with thousands of ready classifications, this model definitely is an easy deployment for quick analytics.

    Food Model – Used specifically for food items, but provides over 2,000 classifications of food, dishes, and meals. With all of the available classifications, the food model is already set up to detect different food items and make deployment quick and easy.

    Custom Model – When your production is more unique, you look to this model. With the ability to create custom, unique, visual classifiers the custom model will work with you to recognize custom visual concepts that are not available in the general model. This model is best for those who have, or need, distinct analytics.

    Explicit Model – Short, sweet, and to the point. The explicit model is used to detect explicit or objectionable content that may be unsuitable for general audiences.  When your production needs to have a friendly look to it, look no further than this model.

    What is PowerAI?

    Artificial Intelligence, Deep Learning, and Data Modeling but worried about your deployment speed and machine learning time? Well, PowerAI from the IBM Cloud is here to help! In partnership with Nimbix, PowerAI offers enhanced data tools, AI architecture,  and ready-to-use deep learning models. When deploying a computer vision with artificial intelligence capabilities like Maximo Visual Inspection and Visual Recognition, it is always good to have a partner in that. PowerAI is that partner. Whether it be for data architecture, deep learning frameworks, or model development tools, PowerAI offers the tools and products to get the job done.

    Where can this be applied?

    While no amount of data will replace knowledge, there is something to be added with structured computer vision like IBM Maximo Visual Inspection. When we take the example of the United Flight whose engine, unfortunately, caught fire when taking off from Denver IBM Maximo Visual Inspection has a lot to offer.

    • The last time the failed item was inspected was in 2016.
    • While not everything is deeply inspected every time an inspection is completed, the recognition capabilities of IBM Maximo Visual Inspection may have been able to detect the anomalies before take off.
    • There were several cracks on the assets that ultimately caused the incident.
    • While fatigue fractures are hard to identify, especially by new employees, IBM Maximo Visual Inspection offers flexibility in training and anomaly identification that could’ve prevented this incident from happening.

    Computer vision products like visual inspection are built to fill in the gaps where there may not have been an inspection or there is a visual indicator that may only present itself in very unique and specific situations. As well, the high-powered deep learning models available make any user the type of person who can detect issues before they happen.

    What do you want to Visually Inspect?

    So, now that you’ve learned more about Maximo Visual Inspection, where do you think this could benefit you and your organization?
    Could you see your company using this to enable cause analysis flexibility and efficiency that it has not seen before?
    Maybe you see this being your next step towards using your available data to determine asset health?
    Or even a opportunity to reach new levels in productivity for your organization?
    Ready to get your next wave of Maximo users trained up on the new tech?
    Let us know!

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