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 …

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 …

Nowadays, the meter reading is detached into two parts: 1) image collection and 2) image
recognition. Most previous researchers perceived meter reading as an image classification …

Automatic Meter Reading (AMR) is tackled by leveraging the high capability of Region-
Convolutional Neural Networks (RCNN). However, license plate recognition is quite …

Digital image processing system is becoming popular due to easy availability of computers
with large memory size, graphics based software tools, etc. Image processing finds various …

Automatic meter reading is important for power billing in a smart city. Most SoTA (State-of-
the-Art) vision-based methods can read only cyclometers and fail to handle dial meters due …

With the rapid development of smart cities, automated meter reading (AMR) technology, as a
crucial part of the infrastructure, has garnered widespread attention. This paper addresses …

This paper aims to enhance the existing Automatic Meter Reading (AMR) technologies for
utilities in the public services sector, such as water, electricity, and gas, by allowing users to …

While smart meters are still not widely installed in many countries, automatic reading of
traditional-type meters is useful from the perspective of both cost and safety. Although …

The data reduction capability of image compression schemes is limited by the underlying
compression technique. For applications with minor changes between consecutive frames …