Lightweight AI Framework for Industry 4.0 Case Study: Water Meter Recognition

Abstract

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 combination of these technologies enabled improving productivity by optimizing consumption and facilitating access to real-time information. In this work, there is a focus on Industry 4.0 and Smart City paradigms and a proposal of a new approach to monitor and track water consumption using an OCR, as well as the artificial intelligence algorithm and, in particular the YoLo 4 machine learning model. The goal of this work is to provide optimized results in real time. The recognition rate obtained with the proposed algorithms is around 98%.

A Survey of AI Techniques in IoT Applications with Use Case Investigations in the Smart Environmental Monitoring and Analytics in Real-Time IoT Platform

“…Their works focus on the development of IoT solutions for license plate recognitions from video streams. In another study, Ktari et al in [52] presented an IoT-based system for monitoring water consumption. This helps staff to efficiently recognize water meters and improve smart city services, especially in the area of water consumption management.…”

AI for Water

“…Such equipment has inter-and intradependencies that increase the complexity of detecting a breach. 21 Accordingly, AI can be used at wastewater treatment plants for multiple use cases in decision making. 22 Decision-making support involves optimization techniques to allocate an optimal combination of factors that maximize/minimize a numerical objective function (that is, the factor affected by the decision).…”

Artificial Intelligence in the Smart City — A Literature Review

“…During the era of Industry 4.0 and smart city paradigms, the synergistic application of AI and IoT has proven to be highly effective in monitoring and tracking water consumption, achieving an impressive recognition rate of approx. 98 % (Ktari et al, 2022). Additionally, in the hospitality sector, AI-enabled robots are being deployed to provide personalised services and facilitate seamless guest experiences (Gupta et al, 2022).…”