Conference Agenda
Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).
Please note that all times are shown in the time zone of the conference. The current conference time is: 24th Aug 2026, 05:31:14am America, Santiago
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Daily Overview |
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37C: Mechanical Virtual location: VIRTUAL: Agora Meetings | |
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5:08pm - 5:16pm
Low-Cost Remote Reading of Analog Electric Meters Using Computer Vision and Neural Networks Universidad Tecnológica del Perú UTP - (PE), Perú This article presents the design and implementation of an automated remote reading system for analog electricity meters, based on computer vision and artificial neural networks. The ESP32-CAM module is used as the capture unit, evaluating three optical configurations of the OV2640 sensor (66°, 120°, and 120° adjustable) to identify the most suitable in terms of sharpness and coverage. The obtained images are processed using binarization, segmentation, and normalization techniques and input into a neural network trained with the MNIST dataset for automatic digit recognition. The results show that the 120° adjustable variant at a distance of 5 cm offers greater capture accuracy. The neural model achieved an accuracy of 96.18% when evaluated with external images, demonstrating its generalization capabilities in real-world conditions. This proposal represents a low-cost, replicable, and technically viable solution for environments where analog meters are still used, contributing to energy automation in contexts with limited infrastructure. | |