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 evolution of applications in telecommunication, network, computing, and embedded
systems has led to the emergence of the Internet of Things and Artificial Intelligence. The …

This paper proposes an image-based algorithm for detecting and cleaning the wind turbine
abnormal data based on wind power curve (WPC) images. The abnormal data are …

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

The aluminum strands break and surface damage will gradually develop into irreversible
destruction to the conductors and the whole transmission lines, and even lead to serious …

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 …

Groundwater resources in Nebraska, US are closely monitored by 23 Natural Resources
Districts (NRDs) located across the state. Growers who use groundwater for irrigation are …

For interventional radiology, dose management has persisted as a crucially important issue
to reduce radiation exposure to patients and medical staff. This study designed a real-time …

We propose to perform an image-based framework for electrical energy meter reading. Our
aim is to extract the image region that depicts the digits and then recognize them to record …

The current method of meter reading is manual and error-prone in develo** countries. A
meter reader logs the reading to calculate the cost of electricity. In recent years, there have …