Autonomous solar installation using artificial intelligence

A method of training a neural network for autonomous solar installation, the method comprising:

• obtaining a plurality of images of solar panel installations under varying lighting conditions;
• annotating the plurality of images to identify solar panel images;
• and
• training one or more image segmentation models using the solar panel images to detect solar panels in poor lighting conditions.

A system for installing solar panels, the system comprising:

• a camera system for obtaining an image of an in-progress solar installation, wherein the image includes an image of one or more solar panels and one or more torque tubes;
• a neural network hardware for detecting solar panel segments based on the image, wherein the neural network hardware is trained to detect solar panels in poor lighting conditions;
• a computer vision hardware for estimating panel poses for the one or more solar panels, based on the solar panel segments;
• and
• a controller for generating control signals, based on the estimated panel poses, for operating a robotic controller for installing the one or more solar panels.