Utility Image Analytics

Logic20/20’s Asset Image Analytics solutions supports utility customers focused on asset management, vegetation management, and wildfire mitigation. Images from drones, fixed cameras, LiDAR, satellites, and other sources can elevate utilities’ efforts to prevent wildfires, keep field assets in good working order, and mobilize disaster response teams. With potentially thousands of images flowing in every day, utility providers need intelligent image analytics solutions that can transform this visual data into decision-supporting insights.

Logic20/20 leverages the latest in machine learning and AI, including advanced computer vision, to develop impactful asset image analytics solutions. We empower utilities to transform a steady stream of raw images into real-time, data-driven insights that help them protect their assets and safeguard their communities. Through AI image interpretation, we help utilities proactively tackle potential issues before they escalate into significant challenges.

We deliver a flexible, integrated suite of tools that can enhance your existing operations or serve as the foundation for a new program. Whether supporting asset identification, vegetation management, storm response, or wildfire mitigation, we help utilities harness the full value of image data.

Our approach starts with a scalable architectural foundation designed on Azure services to handle high volumes of image and sensor data with speed and precision. This includes:

• A Microsoft-based environment for staging and integrating image and operational data. We build and expand upon exist data repositories.
• Robust programs for LabelOps and MLOps to ensure high-quality training data and model reliability
• Computer vision models optimized for utility use cases
• Inference pipelines that deliver insights in near real-time
• Human-in-the-loop review through a centralized portal
• Seamless integration with downstream systems such as field operations and supply chain

Key benefits include:

• Operational efficiency: Accelerate decision-making with AI-powered image analysis that processes large volumes of data faster and more accurately than manual review.
• Safety and risk mitigation: Detect potential hazards—such as damaged infrastructure or encroaching vegetation—before they escalate into outages or safety incidents.
• Smarter asset management: Optimize maintenance workflows by prioritizing actions based on visual data and predictive insights.
• Simplified compliance and reporting: Track and document adherence to vegetation management and reliability standards with confidence and ease.
• Customer experience: Reduce service interruptions and support regulatory uptime metrics, improving customer satisfaction across your service territory.