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 …

We tackle automatic meter reading (AMR) by leveraging the high capability of convolutional
neural networks (CNNs). We design a two-stage approach that employs the Fast-YOLO …

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 …

Existing approaches for image-based Automatic Meter Reading (AMR) have been evaluated
on images captured in well-controlled scenarios. However, real-world meter reading …

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 …

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 …

Natural scenes with variable illumination, variable target scale and angular tilt pose
significant challenges to the autonomous recognition of digital meter readings. Based on …

With the development of Industry 4.0, although some smart meters have appeared on the
market, traditional mechanical meters are still widely used due to their long-standing …

The ongoing reading process of digital meters is time-consuming and prone to errors, as
operators capture images and manually update the system with the new readings. This work …

The replacement of analog meters with smart meters is costly, laborious, and far from
complete in develo** countries. The Energy Company of Paraná (Copel)(Brazil) performs …