Aug 10, 2023
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Completed
Solar Panel Planning with AI
$10,000+
2-3 months
United States
2-5
Service categories
Service Lines
Artificial Intelligence
Domain focus
Energy & Utilities
Subcategories
Artificial Intelligence
Deep Learning
Challenge
A solar energy company faced the challenge of time-consuming manual methods for analyzing residential roofs for solar panel installations. To improve efficiency and accuracy, they sought an automated solution that could identify roof boundaries and segment them into distinct areas. Accurate measurements of each roof plane were crucial for determining the most effective placement of solar panels.
A solar energy company faced the challenge of time-consuming manual methods for analyzing residential roofs for solar panel installations. To improve efficiency and accuracy, they sought an automated solution that could identify roof boundaries and segment them into distinct areas. Accurate measurements of each roof plane were crucial for determining the most effective placement of solar panels.
Solution
We developed a solution for a solar energy company to streamline the planning process for solar panel implementation. Leveraging deep learning models, the solution accurately detects and segments roofs into distinct areas, providing precise measurements for each segment. This innovative approach revolutionizes roof analysis, enabling optimal solar panel placement.
We developed a solution for a solar energy company to streamline the planning process for solar panel implementation. Leveraging deep learning models, the solution accurately detects and segments roofs into distinct areas, providing precise measurements for each segment. This innovative approach revolutionizes roof analysis, enabling optimal solar panel placement.
Results
By automating the detection, segmentation, and measurement of roof areas, our solution significantly reduces time and resource requirements. This has streamlined our customer's operations, allowing for more efficient planning and implementation of solar panels.
By automating the detection, segmentation, and measurement of roof areas, our solution significantly reduces time and resource requirements. This has streamlined our customer's operations, allowing for more efficient planning and implementation of solar panels.