2023 JAN 25 (NewsRx) -- By a News Reporter-Staff News Editor at Tech Daily News -- Current study results on sensor research have been published. According to news reporting originating from Pisa, Italy, by NewsRx correspondents, research stated, “Many tasks that require a large workforce are automated.”
The news correspondents obtained a quote from the research from National Research Council (CNR): “In many areas of the world, the consumption of utilities, such as electricity, gas and water, is monitored by meters that need to be read by humans. The reading of such meters requires the presence of an employee or a representative of the utility provider. Automatic meter reading is crucial in the implementation of smart grids. For this reason, with the aim to boost the implementation of the smart grid paradigm, in this paper, we propose a method aimed to automatically read digits from a dial meter. In detail, the proposed method aims to localise the dial meter from an image, to detect the digits and to classify the digits. Deep learning is exploited, and, in particular, the YOLOv5s model is considered for the localisation of digits and for their recognition.”
According to the news reporters, the research concluded: “An experimental real-world case study is presented to confirm the effectiveness of the proposed method for automatic digit localisation recognition from dial meters.”
For more information on this research see: Water Meter Reading for Smart Grid Monitoring. Sensors, 2022,23(75):75. (Sensors - http://www.mdpi.com/journal/sensors). The publisher for Sensors is MDPI AG.
A free version of this journal article is available at https://doi.org/10.3390/s23010075.
Our news editors report that more information may be obtained by contacting Fabio Martinelli, Institute for Informatics and Telematics, National Research Council (CNR), 56124 Pisa, Italy. Additional authors for this research include Francesco Mercaldo, Antonella Santone.
(Our reports deliver fact-based news of research and discoveries from around the world.)