For energy, infrastructure, and public safety, we build custom Drone vision algorithms that automate inspections, map complex terrain, and locate missing persons, processing visual data in real-time, miles from the nearest operator.
Climbing a wind turbine or walking a 500-acre solar farm is inefficient and hazardous. Relying on human visual inspection creates three critical blockers:
Putting humans at height (towers) or in hazardous terrain (search and rescue) carries immense risk. Our Autonomous AI puts a machine in harm's way, keeping your team safe on the ground.
A drone captures 10,000 images in one flight. Manually reviewing them takes weeks. Our edge-AI processes images during the flight, flagging defects instantly so you only review the 1% that matter.
"Looks good to me" isn't data. Our AI measures cracks, thermal anomalies, and terrain elevation with Pixel-Level Precision, creating an objective, historical digital twin.
By the time a human inspector spots a fault, schedules a follow-up, and files a report, minor issues become costly failures.
Detect invisible energy leaks. We utilize Thermal Orthomosaics to identify dead cells, string failures, and soiling. The AI calculates the exact "revenue loss" per panel and generates a GPS-guided repair ticket.
Stop climbing towers. Drones fly automated vertical scan patterns. The AI detects hairline cracks, lightning strikes, and leading-edge erosion on blades, grading defect severity (1-5) automatically.
Find people fast. In dense forests or oceans, the AI scans thermal feeds for human heat signatures. Upon detection, it locks the camera and sends exact GPS coordinates to the rescue team.
We build custom flight algorithms (using DJI SDK or MAVLink) that ensure 80% image overlap and optimal GSD (Ground Sampling Distance) for the specific asset being inspected.
We deploy lightweight YOLO models on the drone's companion computer (NVIDIA Jetson). This allows the drone to "see" a defect and hover for a closer look automatically.
A hot spot means nothing without context. We fuse thermal data with high-res RGB imagery so maintenance crews can see exactly which solar panel or insulator needs replacing.
Post-flight, our cloud pipeline stitches thousands of images into a sub-centimeter accuracy 2D Orthomosaic or 3D Mesh, tagged with every identified defect.
Folio3 built a custom AI-powered drone inspection system that analyzes thermal imagery, detects solar panel defects, and automates reporting to improve efficiency, accuracy, and maintenance decisions. Outcomes Achieved over 90% anomaly detection accuracy using custom-trained AI models Reduced manual inspection effort with automated image processing and filtering Improved maintenance efficiency through precise defect detection (hotspots, diode failures)
Folio3.ai leverages the world’s most powerful AI frameworks, models, and acceleration platforms to build secure, scalable, and production-ready AI solutions. Our expertise spans generative AI, deep learning, MLOps, and high-performance inference.
We have built autonomous drone inspection systems for energy utilities, infrastructure operators, and search and rescue teams. Tell us about your asset and we will show you what's possible.
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+1 408 365-4638
contact@folio3.ai
6701 Koll Center Parkway, #250 Pleasanton, CA 94566
