Roboflow Universe Automatic Meter Reading Automatic meter reading

Automatic meter reading Computer Vision Project

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Here are a few use cases for this project:

Energy Consumption Tracking: Using the "Automatic Meter Reading" model, utility companies can track customers' energy usage without sending a human operator to physically check the meter.
Billing Accuracy: This model could help guarantee accurate billing for customers by preventing manual reading errors, translating to improved customer satisfaction and trust.
Preventing Electricity Theft: By automatically monitoring any abnormal or inconsistent jumps in kwh-rating, agencies may detect and investigate possible instances of electricity theft.
Demand Forecasting: Companies can utilize this model to predict energy consumption based on historical kwh-ratings tagged per period, helping to optimize production and supply.
Equipment Maintenance: Companies can proactively service meters based on variables including serial number age or kwh usage, enabling preventive maintenance before breakdowns occur.

Trained Model API

This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.

Cite This Project

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

@misc{
                            automatic-meter-reading_dataset,
                            title = { Automatic meter reading Dataset },
                            type = { Open Source Dataset },
                            author = { Automatic Meter Reading },
                            howpublished = { \url{ https://universe.roboflow.com/automatic-meter-reading/automatic-meter-reading } },
                            url = { https://universe.roboflow.com/automatic-meter-reading/automatic-meter-reading },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { mar },
                            note = { visited on 2024-04-29 },
                            }