System and method for detecting bright spots in photo-voltaic solar panel
AssigneeJio Platforms Limited
InventorsKedar KULKARNI, Anand THIRWANI, Rahul S NAIR
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Abstract
The present disclosure relates to a system and a method for detecting bright spots in a Photo-Voltaic (PV) solar panel. The system receives an electroluminescence (EL) image of a PV solar panel, extract one or more optimal patches from the received EL image of the PV solar panel, extract one or more features from the extracted one or more optimal patches, generate 5 one or more synthetic bright spots to train a classification model based on the extracted one or more features, and detect bright spots in the PV solar panel via the classification model.
Claims30
A system (200) for detecting bright spots in a Photo-Voltaic (PV) solar panel, the system (200) comprising:
- one or more processors (202);
- and
- a memory (204) operatively coupled to the one or more processors (202), wherein the memory (204) comprises processor-executable instructions, which on execution, cause the one or more processors (202) to:
- receive an electroluminescence (EL) image of a PV solar panel;
- extract one or more optimal patches from the received EL image of the PV solar panel;
- extract one or more features from the extracted one or more optimal patches;
- generate one or more synthetic bright spots to train a classification model based on the extracted one or more features;
- and
- detect, via the classification model, bright spots in the PV solar panel.
A method for detecting bright spots in a Photo-Voltaic (PV) solar panel, the method comprising:
- receiving, by a processor (202) associated with a system (200), an electroluminescence (EL) image of a PV solar panel;
- extracting, by the processor (202), one or more optimal patches from the received EL image of the PV solar panel;
- extracting, by the processor (202), one or more features from the extracted one or more optimal patches;
- generating, by the processor (202), one or more synthetic bright spots to train a classification model based on the extracted one or more features;
- and
- detecting, by the processor (202), bright spots in the PV solar panel via the classification model.
A user equipment, comprising:
- one or more processors;
- and
- a memory operatively coupled to the one or more processors, wherein the memory comprises processor-executable instructions, which on execution, cause the one or more processors to:
- capture an electroluminescence (EL) image of a Photo-Voltaic (PV) solar panel;
- and
- send the EL image of the PV solar panel to a system (200);
- wherein the one or more processors are communicatively coupled with the system (200), and wherein the system (200) is configured to:
- receive the EL image of the PV solar panel;
- extract one or more optimal patches from the received EL image of the PV solar panel;
- extract one or more features from the extracted one or more optimal patches;
- generate one or more synthetic bright spots to train a classification model based on the extracted one or more features;
- and
- detect bright spots in the PV solar panel via the classification model.
A non-transitory computer-readable medium comprising processor-executable instructions that cause a processor to:
- receive an electroluminescence (EL) image of a Photo-Voltaic (PV) solar panel;
- extract one or more optimal patches from the received EL image of the PV solar panel;
- extract one or more features from the extracted one or more optimal patches;
- generate one or more synthetic bright spots to train a classification model based on the extracted one or more features;
- and
- detect, via the classification model, bright spots in the PV solar panel.
Dependencies are inferred from the claim text.