A Single Source of Intelligent Aerial Imagery
Integration with your existing systems and simplicity, accuracy, and cost-effectiveness are essential for effective project management. We integrate:
- The largest network of manned aircraft and UAV operators in the globe.
- Scalable data collection and accurate analysis
In order to develop a unified analytics platform that enables users to concentrate on enhancing construction quality and optimizing energy production by providing straightforward, precise, and practical insights throughout the entire life cycle of solar assets.
Scalable Operations
Scalable Operations
Scalable Operations
Solutions for Evergy Phase
Shading Analysis
Thermal Inspections
Module ID Mapping
Construction Monitoring
How Drone Solar Inspections increase efficiencecy at power plants
The Demand:
Solar panels must be inspected on a regular basis for damage and dirt. Especially, double - check the quality of the O&M team's work
The Difficulty:
When you're trying to scale up, it's a time-consuming, expensive, and potentially dangerous endeavor. At many large plants, teams of workers were inspecting as low as 2-3% of the panels.
The Solution:
Using drone combined with high resolution thermal camera to take visual and thermal images
- Visual images: Detect surrounding dust and foreign matter affecting the project
- Thermal images: Detect thermal abnormalities
The results:
Around 5% increase in output efficiency compared to the previous period.
How Drones and AI enable end-to-end solar PV inspections
Before taking off, make sure your flight parameters are appropriate for the location. Consider the irradiance of the site, the ideal ground sampling distance (GSD) and flight altitude, and the overlap settings for your data collection. Working in good irradiation at a lower altitude will result in greater fidelity data and better findings, but the mission will take longer to complete.
These flight parameters can be kept and repeated for regular inspections to offer comparative data throughout time.
The drone takes off and begins a pre-programmed mapping mission, gradually collecting and uploading data as it flies. From start to finish, data collection is self-contained and cloud-based. Thermal and RGB images are taken.
In a couple of seconds, the asset inventory of the solar farm is synced and examined. Any anomalies that warrant additional investigation are noted. A PV farm is built, which includes electrical data, layouts, and serial numbers.
Automated reports are generated within several days, providing clear insights and actionable data for O&M team.
