meter reading Object Detection Dataset and Pre-Trained Model by project

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Explore Dataset

Here are a few use cases for this project:

Utility Management: This model could be used to automate the process of reading utility meters such as gas, water, or electricity in homes and businesses. By identifying the numbers and position of the pointer tip on the meter, the model could provide real-time, accurate data to utility providers for billing purpose.
Industrial Machinery Monitoring: The model would be used in factories or industrial settings to monitor machinery gauges and meters. Automated regular readings would allow for proactive maintenance and immediate response to irregularities or failures, preventing costly downtime.
Vehicular Data Collection: An application could be development of a system for fleet vehicles, enabling automatic collection and reporting of data such as fuel consumption, speed, and distance traveled. This would enhance operational efficiency and maintenance planning.
Health Monitoring Systems: The model could be integrated into medical devices or instruments like blood pressure or glucose meters, to streamline the process of reading and recording health data, making it easier both for health professionals and patients managing their conditions at home.
Home Energy Management: The model could be used in smart home systems to read home energy usage from various appliances. The data could then be analyzed to provide tips on energy conservation, potentially helping homeowners to reduce their energy bills.

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{
                            meter-reading-lfqhb_dataset,
                            title = { meter reading Dataset },
                            type = { Open Source Dataset },
                            author = { project },
                            howpublished = { \url{ https://universe.roboflow.com/project-kaqwa/meter-reading-lfqhb } },
                            url = { https://universe.roboflow.com/project-kaqwa/meter-reading-lfqhb },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { apr },
                            note = { visited on 2024-07-27 },
                            }