AI-Powered Asset Inspection with Computer Vision & Machine Learning

Challenge

One of the largest seaport and container ports in EMEA was fighting a constant battle with corrosion. To keep the port operating at peak efficiency and reliability, they sought an automated AI inspection software that could both connect with their autonomous drones and integrate with ServiceNow, their ticketing and dispatch platform, to improve their asset inspection productivity, capacity and accuracy.

Solution

Utilizing self-developed autonomous drone technology to conduct automated inspections of their gantries, the port authority systematically collected inspection images and automatically uploaded them into Optelos, where they were geotagged, analyzed for corrosion utilizing computer vision AI, and prioritized for repair. Optelos’ integration with ServiceNow facilitated automatic trouble ticketing, creating work orders and dispatching repair resources to the specific geolocation of detected defects.

Challenge

One of the largest and fastest growing power companies in South America with over 1500 km of transmission lines was planning to move to automated drone inspection with integrated machine learning for visual inspection. Transmission line inspection is a perfect application for realizing the benefits of automated AI inspection software, as the infrastructure is geographically distributed, dangerous to manually inspect, and typically suffers similar damage and fault conditions that are routine for vision AI inspection engines to assess.

Solution

Optelos is the only geospatial data management platform that delivers a complete vision AI inspection workflow. The power utility used Optelos to securely store their automated drone inspection images, annotate and label the infrastructure  images to train the vision AI engine for routine fault detection classes, then deploy the automated AI inspection software to systematically detect and prioritize transmission line defects. Optelos was also integrated with their trouble ticketing solution to automatically create work orders, further enhancing the speed and efficiency of resource deployment.

Challenge

Solution

The company implemented automated vision AI inspection software to verify that employees were wearing all required PPE prior to entering a controlled area. Upon badge scan, the vision AI inspection software verified personnel were wearing eye protection, a hard hat and a reflective vest. Once the presence of all required PPE was verified, employees were permitted access to the restricted area.

Challenge

One of the largest and fastest growing power companies in South America with over 1500 km of transmission lines was planning to move to drone-based asset inspections with integrated AI. Transmission line inspections are a perfect application for combining drone asset inspections with computer vision AI, as the assets are geographically distributed, dangerous to manually inspect, and typically suffer similar damage and fault conditions that are routine for an AI engine to visually assess.

Solution

Optelos is the only platform that delivers a complete, integrated AI workflow. The utility used Optelos to securely store their inspection images, annotate and label the images to train the AI engine for routine fault detection classes, then deploy the AI to systematically detect and prioritize transmission line defects. Optelos is also integrated with their trouble ticketing solution to automatically create work orders.

Challenge

Solution

Challenge

Solution

Challenge

Completing turnaround maintenance actions is complex, time-consuming and expensive. Information required to complete these complicated maintenance actions often exists in multiple programs used by different supporting organizations in several locations. Drone data management can be challenging given its unstructured nature.  Gaining a complete, strategic view of an asset’s current state with all relevant documents can be extremely challenging.

Solution

Our customer utilized the Optelos visual data management system as an organizing and visualization tool for their complex turnaround actions. By creating detailed digital twins of assets undergoing maintenance, they were able to append all required documentation to the 3D pointcloud models, complete thorough drone data analysis, and review in-depth equipment status and project schedules with relevant documents, manuals and inspection reports during regular team maintenance meetings, improving team collaboration and project oversight.