System and methods for automatic solar panel recognition and defect detection using infrared imaging

This invention describes a method to find defects in solar panels. It involves using an infrared camera to take pictures of a group of panels, then a computer system identifies each individual panel. The system then looks for defects by identifying panels that are hotter than the average, or by finding specific regions within a panel that show higher temperatures compared to their surroundings.

Why it matters: Filed before the widespread adoption of advanced deep learning for object detection and anomaly recognition. Modern computer vision models can now more robustly identify individual panels and subtle thermal defects with greater accuracy and less manual tuning.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedInfrared camera, image recognition and defect detection software.

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