Conclusion
Overall, Aurora Solar found that Aurora AI matched human levels of accuracy when modeling a roof, but in much less time than it would take a human to manually model a roof using Aurora’s software.
Overall, Aurora Solar found that Aurora AI matched human levels of accuracy when modeling a roof, but in much less time than it would take a human to manually model a roof using Aurora’s software. Aurora’s accuracy will also only improve as the CVML team grows the dataset to include more complex roof models, allowing the AI model to continue to learn and train over time.
With solar experiencing an average annual growth rate of 42% in installed solar capacity (SEIA) and the world’s dramatic shift to a digital-first environment, it’s more important than ever for solar companies to double down on digital transformation and set their business up to scale effectively. Whether to generate an initial proposal or get a head start on system designs, Aurora AI is an extremely useful tool for a solar company to have.
See Aurora AI in Action
If you are interested in learning more about Aurora Solar and how Aurora AI can help you build more efficient processes, you can request a demo below.