RNA_Eduardo_Tese Computer Vision Project

RNA Doutorado

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Chave_69kV
Chave_H_230kV
Chave_V_230kV
Disjuntor_I_230kV
Disjuntor_I_69kV
Disjuntor_T_230kV
Pararraio_230kV
Pararraio_69kV
TC_230kV
TC_69kV
TP_230kV
TP_69kV
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Description

Here are a few use cases for this project:

  1. Power Grid Inspection and Maintenance: The RNA_Eduardo_Tese model can be used to autonomously inspect power grids by identifying various power equipment classes, such as transformers or voltage switches. This would help utility companies schedule and prioritize maintenance tasks more efficiently, improving reliability and safety.

  2. Drone-Based Power Line Surveillance: Equipping drones with the RNA_Eduardo_Tese model can enable aerial inspections of power lines and power cables, helping to quickly identify equipment needing repair or replacement, reducing the downtime in electricity transmission.

  3. Disaster Recovery and Response: In the aftermath of natural disasters, the RNA_Eduardo_Tese model can be used to assess damage to power infrastructure, prioritize restoration efforts, and allocate appropriate resources for repair work, thus accelerating the recovery process.

  4. Infrastructure Expansion and Planning: The RNA_Eduardo_Tese model can be employed by city planners and engineers to optimize the layout and design of new power infrastructure, recognizing different equipment types and planning for their placement in accordance with best practices and safety regulations.

  5. Asset Management and Inventory Control: Utility companies can utilize the RNA_Eduardo_Tese model to maintain an accurate inventory of their power equipment and identify aging or obsolete components that require replacement. This will help manage resources efficiently and reduce the risk of unexpected equipment failures.

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Cite This Project

LICENSE
CC BY 4.0

If you use this dataset in a research paper, please cite it using the following BibTeX:

                        @misc{
                            rna_eduardo_tese_dataset,
                            title = { RNA_Eduardo_Tese Dataset },
                            type = { Open Source Dataset },
                            author = { RNA Doutorado },
                            howpublished = { \url{ https://universe.roboflow.com/rna-doutorado/rna_eduardo_tese } },
                            url = { https://universe.roboflow.com/rna-doutorado/rna_eduardo_tese },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { aug },
                            note = { visited on 2024-12-28 },
                            }
                        
                    

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