Abstract
Automating analog gauge readings is essential for providing stakeholders with timely alerts about abnormalities in physical properties measured by gauges, such as pressure, and for offering detailed historical data to improve understanding of the work environment. However, existing systems face challenges in balancing accuracy, continuity, reading latency, network band-width usage, and cost. In this study, we introduce GaugeTracker, an end-to-end system to address these challenges. Our proposed method, based on template matching for gauge reading, precisely determines the current angle of the gauge pointer, significantly outperforming state-of-the-art baselines with an average error of 1.81 degrees. By leveraging the versatility of large vision-language models, we develop a pipeline for automatically generating accurate and realistic gauge templates for each specific gauge at various readings on the server. Deployed on the world's most affordable IoT camera, which is mounted in front of a gauge using our customized camera holder, our prototype system can read the gauge 7 times per second by processing entirely on the device. This delivers continuous and accurate gauge readings across diverse environmental conditions. Furthermore, with a cost of merely $10 per gauge, our system offers a highly cost-effective solution for real-time analog gauge monitoring.
Original language | English (US) |
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Title of host publication | Proceedings - 2024 IEEE 7th International Conference on Multimedia Information Processing and Retrieval, MIPR 2024 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 477-483 |
Number of pages | 7 |
ISBN (Electronic) | 9798350351422 |
DOIs | |
State | Published - 2024 |
Externally published | Yes |
Event | 7th IEEE International Conference on Multimedia Information Processing and Retrieval, MIPR 2024 - San Jose, United States Duration: Aug 7 2024 → Aug 9 2024 |
Conference
Conference | 7th IEEE International Conference on Multimedia Information Processing and Retrieval, MIPR 2024 |
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Country/Territory | United States |
City | San Jose |
Period | 8/7/24 → 8/9/24 |
Keywords
- Analog Gauge Transcription
- Computer Vision
- Internet of Things
- Large Vision-language Model
- Real-Time Data Processing
- Synthetic Data
- Template Matching
ASJC Scopus subject areas
- Artificial Intelligence
- Computer Science Applications
- Computer Vision and Pattern Recognition
- Information Systems
- Media Technology