The Gauge Reader Model is a pre-trained AI solution designed to detect and locate key components of a gauge: the start point (E - Empty), the end point (F - Full), and the needle position. This model is optimized for seamless integration into industrial monitoring and automation systems.
This model is specifically tailored to read analog gauges under various conditions, such as different lighting, angles. It is a valuable tool for automating the monitoring of tank levels, pressure gauges, and other industrial instruments.
- Custom Training: Trained on a diverse dataset of one-gauge images.
- Versatility: Capable of detecting gauge components in both static and dynamic environments.
- Real-Time Processing: Supports real-time gauge reading for live monitoring and automated systems.
- Configurable Settings:
- Adjustable confidence threshold for detection sensitivity.
- Define a Region of Interest (ROI) to focus detection on specific gauges.
The Gauge Reader Model is ideal for a variety of applications, including:
- Monitor tank levels, pressure gauges, and other instruments in real time.
- Automate data logging and alert systems based on gauge readings.
- Ensure accurate fuel or gas level readings in power plants.
- Monitor water levels in reservoirs or industrial processes.
- Automate fuel level monitoring in vehicles or storage facilities.
- Support maintenance by tracking gauge readings in locomotives or ships.
- Analyze the behavior of physical systems based on real-time gauge data.
- Enhance experimental setups requiring precise monitoring of levels or pressure.
The model has been rigorously tested for reliability and accuracy. You can evaluate its performance using the MP4 video provided in this directory.
Play the demonstration video below for detailed instructions:
For questions or additional support regarding the implementation or performance of the Gauge Reader Model, please feel free to reach out.