Drone Powerline Inspection
While the quest for operational efficiency is driving drone powerline inspection adoption, the true innovation lies in what happens after the data capture with AI/ML data processing. To realize the full benefits of drone powerline inspection, computer vision AI/ML algorithms are utilized to automatically analyze the massive quantity of raw visual image data to classify assets and identify predetermined defect conditions. This dramatically improves the efficiency of drone powerline inspection programs by flagging images with detected issues for further MI (maintenance inspector) review, saving time and reducing inspector fatigue.
Machine learning is another critical element of inspection automation. When the AI model is retrained with additional annotated imagery showing new environmental conditions and equipment, it learns, improving its algorithms and becoming more adept at classifying assets and identifying failure conditions. This enables the system to become more efficient over time, adapting to new patterns of wear, new component types and evolving changes to the transmission network.
The Future of Oil and Gas Inspection Software
The very nature of oil and gas operations makes assets susceptible to corrosion. Regular inspections help detect early signs of corrosion, thereby preventing potential leaks or failures. Modern technologies, such as drones and visual AI, have revolutionized this aspect, allowing for more detailed, quicker, and safer inspections.
Optelos stands out as a quintessential example of this type, merging the capabilities of the aforementioned software types into one cohesive solution. From managing visual data from UAVs to operationalizing visual AI for corrosion inspections and creating 3D digital twins, integrated platforms provide a holistic approach to oil and gas inspections.