Mapflow AI for utility monitoring –
analysis of vegetation risks and work control near powerlines
Mapflow AI for utility monitoring –
analysis of vegetation risks and work control near powerlines
Get reports and stay informed about vegetation management
Safeguard the assets with remote control of vegetation. Mitigate risks of power outages and plan costs for management works in the area. The solution allows you to analyze vegetated areas and risky trees on a super large using recent satellite imagery.
Technology
Mapflow AI becomes super cost-effective for the extensive linear infrastructure as it applies computer vision / deep learning and generates accurate vegetation masks with the tree heights out of mono satellite imagery. As lidar technology and aerial surveys are top-notch it might become expensive to collect data for power transmission networks, where monitoring of vegetation is a constant challenge. Our AI models are trained on lidar data to perform on a 0.5-1m satellite images with the high accuracy (MAE 3–4m depending on the area and input resolution) so can be used standalone ot in a combination with other data surveys.
GIS and API integration
Our solution has an integration with QGIS (qgis.org) providing an immediate workspace for data analysts using free and popular desktop software. Solution developers can start integration using Mapflow API. The deliverables and API can be customized to meet your workflow requirements whenever you work with professional software or download PDF/CSV.
Data streaming
Recent satellite imagery powered by the data streaming services enable instant access to global data with automatic processing (e.g. Maxar SecureWatch). You can also use your own UAV / Satellite images or the data subscription to get it securely connected to our AI platform.
