Pointer meters recognition method in the wild based on innovative deep learning techniques
Abstract This study presents a novel approach to identifying meters and their pointers in modern industrial scenarios using deep learning. We developed a neural network model that can detect gauges and one or more of their pointers on low-quality images. We use an encoder network, jump connections,...
Saved in:
| Main Authors: | Jiajun Feng, Haibo Luo, Rui Ming |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-01-01
|
| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-024-81248-7 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Pointer Meter Reading Recognition Based on YOLOv11-OBB Rotated Object Detection
by: Xing Xu, et al.
Published: (2025-07-01) -
Real-time reading system for pointer meter based on YolactEdge
by: Chengjun Yang, et al.
Published: (2023-12-01) -
Water Meter Reading Based on Text Recognition Techniques and Deep Learning
by: Bay Nguyen van, et al.
Published: (2025-01-01) -
Rebooting TEI Pointers
by: Hugh A. Cayless
Published: (2017-09-01) -
Deep Learning Model for Feature Extraction and Anomaly Recognition in High-Dimensional Energy Metering Data
by: Huakun Que, et al.
Published: (2025-08-01)