Abstract
Social systems have gained relevance during the last decade, trying to provide intelligent environments where humans and machines collaborate to resolve a social problem. The main objective of this paper is to obtain an intelligent system specifically designed to help dependent and/or visually disabled people to count money more easily by using a mobile phone camera. The proposed system incorporates an image recognition system for classifying coins by using homography to transform images previously for classification tasks. The main difficulty in the appliance of these techniques relies on the fact that camera position and height are unknown. This process allows changing the perspective of the images in order to calculate different meaningful variables such as diameter and colour employed later to perform classification and counting tasks. The system uses the information of the variables as inputs for classification algorithms that allow us to identify the amount and type of coins. The system has been tested with euro coins. This paper presents the results obtained.
Highlights
The continuous evolution of computational systems has led to intelligent systems that can notably help humans to carry out their daily tasks
The structure of the paper is as follows: Section 2 presents the state of art; Section 3 outlines the multiagent system; Section 4 shows the intelligent system for coin recognition; Section 5 describes the case study, and Section 6 presents the results and the conclusions, respectively
One of the challenges of social computing is to model the interaction with the different actors of the environment, in this case, humans and wireless sensor networks (WSN)
Summary
The continuous evolution of computational systems has led to intelligent systems that can notably help humans to carry out their daily tasks. Pervasive systems can help dependent or disabled people to perform daily tasks in a non-obstructive manner [7,8]. In this sense, intelligent environments can improve services and can have a high social impact [9]. Sci. 2019, 9, 1252 systems provide distributed communication and computation capacities, and reasoning and adaptation abilities, which allow us to design intelligent adaptive environments in a simple and flexible way, for example, to help visually disabled people in common tasks such as recognizing objects like coins in different situations of their daily life. The structure of the paper is as follows: Section 2 presents the state of art; Section 3 outlines the multiagent system; Section 4 shows the intelligent system for coin recognition; Section 5 describes the case study, and Section 6 presents the results and the conclusions, respectively
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