A 21st Century Solution
That’s why Cyclomedia has developed an automated, efficient solution that leverages terrestrial data to deliver a complete and precise dataset of all vegetation encroachments across a provider’s network. Starting with our patented vehicle-based data capture, we collect 360°, 100-megapixel panoramic imagery and align it with our high resolution LiDAR point cloud. This creates a true reality capture, upon which we run our suite of machine learning algorithms specifically designed to extract primary and secondary conductors, as well as any additional relevant assets. The algorithms then create radial buffers around these assets, identify vegetation that encroaches within the radials, measure the distance of the encroachment, and create a record to identify its location and severity. The result is a complete dataset that tells the utility precisely where they have critical vegetation encroachments requiring immediate remediation and where they have non-critical encroachments that need to be planned for future vegetation management cycles, delivered in a portable GIS format that easily integrates with existing systems and processes.
