Optimizing Solar Project Planning with AI-Powered Obstruction Detection

Aurora Solar has introduced a groundbreaking feature to its HelioScope platform, enhancing solar project planning through AI-driven obstruction management.

The new tool, HelioScope Similar Obstruction Detection, uses Aurora's advanced AI technology to identify and manage potential obstacles on commercial and industrial rooftops. This innovation streamlines the process of locating areas where solar panels cannot be installed due to issues like skylights, vents, or structural elements, making it especially useful for large-scale projects.

Traditionally, the task of identifying and setting exclusion zones around these obstructions was labor-intensive and time-consuming, often extending project timelines and reducing efficiency. The HelioScope Similar Obstruction Detection feature revolutionizes this by cutting down the detection time from 10-15 minutes to just 10-15 seconds. This significant reduction in time helps solar developers and EPC companies accelerate their project timelines and improve workflow efficiency.

By automating the detection and zoning process, HelioScope allows professionals to focus on generating revenue and managing a higher volume of project proposals, marking a notable advancement in solar planning technology.