Text recognition in the wild: A survey

X Chen, L Jin, Y Zhu, C Luo, T Wang - ACM Computing Surveys (CSUR), 2021 - dl.acm.org
The history of text can be traced back over thousands of years. Rich and precise semantic
information carried by text is important in a wide range of vision-based application …

Attention, please! A survey of neural attention models in deep learning

A de Santana Correia, EL Colombini - Artificial Intelligence Review, 2022 - Springer
In humans, Attention is a core property of all perceptual and cognitive operations. Given our
limited ability to process competing sources, attention mechanisms select, modulate, and …

Lightweight AI framework for industry 4.0 case study: water meter recognition

J Ktari, T Frikha, M Hamdi, H Elmannai… - Big Data and Cognitive …, 2022 - mdpi.com
The evolution of applications in telecommunication, network, computing, and embedded
systems has led to the emergence of the Internet of Things and Artificial Intelligence. The …

Deep learning for image-based automatic dial meter reading: Dataset and baselines

G Salomon, R Laroca, D Menotti - 2020 International Joint …, 2020 - ieeexplore.ieee.org
Smart meters enable remote and automatic electricity, water and gas consumption reading
and are being widely deployed in developed countries. Nonetheless, there is still a huge …

[HTML][HTML] Low-cost Edge Computing devices and novel user interfaces for monitoring pivot irrigation systems based on Internet of Things and LoRaWAN technologies

DM Matilla, AL Murciego, DM Jiménez-Bravo… - Biosystems …, 2022 - Elsevier
Highlights•LoRaWAN and GPS allow affordable monitoring systems for centre pivot
irrigation.•Chatbots and voice assistants help to avoid the digital divide.•Edge Computing …

Towards image-based automatic meter reading in unconstrained scenarios: A robust and efficient approach

R Laroca, AB Araujo, LA Zanlorensi… - Ieee …, 2021 - ieeexplore.ieee.org
Existing approaches for image-based Automatic Meter Reading (AMR) have been evaluated
on images captured in well-controlled scenarios. However, real-world meter reading …

Water meter reading for smart grid monitoring

F Martinelli, F Mercaldo, A Santone - Sensors, 2022 - mdpi.com
Many tasks that require a large workforce are automated. In many areas of the world, the
consumption of utilities, such as electricity, gas and water, is monitored by meters that need …

Light-weight spliced convolution network-based automatic water meter reading in smart city

C Li, Y Su, R Yuan, D Chu, J Zhu - IEEE Access, 2019 - ieeexplore.ieee.org
Automatic reading for water meter is one of the practical demands in smart city applications.
Due to the high cost, it is not feasible to replace the old mechanical water meter with a new …

[HTML][HTML] Text detection and recognition in raw image dataset of seven segment digital energy meter display

K Kanagarathinam, K Sekar - Energy Reports, 2019 - Elsevier
The article describes the collection of the dataset of raw images of digital energy meters
display, text detection and recognition of seven segment numerals from collected samples …

[HTML][HTML] A fully AI-based system to automate water meter data collection in Morocco country

A Naim, A Aaroud, K Akodadi, C El Hachimi - Array, 2021 - Elsevier
With the growing demand for water resources, the need for monitoring has become a
necessity for rational and sustainable use of this resource. Water meter data collection is an …