AI-Vision Towards an Improved Social Inclusion

Rasem Alashkar, Mohamed ElSabbahy, Ahmad Sabha, Momen Abdelghany, B. Tlili, Jinane Mounsef
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引用次数: 2

Abstract

The promise of Artificial Intelligence (AI)-based technologies is immense, and benefits range from efficiency profits to unprecedented improvements of quality of life in a social exclusive world, where discrimination and marginalization pose significant difficulties for building inclusive cities and providing equal access to opportunities for disabled persons. The challenges faced by visually impaired individuals in today's world are too many to count. While many tools have been introduced to help address these problems, these tools remain very costly to afford. The proposed smart glasses AI-Vision, which aim to provide the needed support in daily routine tasks utilizes machine learning algorithms in two applications of great interest. A facial expression/age/gender recognition for meetings, and a color recognition for outfit sorting are integrated in the device's framework. The generated feedback sound can be heard by the user through the bone conduction technology while avoiding disturbance of surrounding noise. The proposed AI-Vision reduces substantially the cost of a similar product while keeping an efficient recognition accuracy.
面向改善社会包容的人工智能愿景
基于人工智能(AI)的技术前景广阔,在社会排他性的世界中,从效率利润到生活质量的前所未有的改善,都能带来好处。在社会排他性的世界中,歧视和边缘化给建设包容性城市和为残疾人提供平等机会带来重大困难。当今世界,视障人士面临的挑战多得难以计数。虽然已经引入了许多工具来帮助解决这些问题,但这些工具的成本仍然很高。提出的智能眼镜AI-Vision旨在为日常任务提供所需的支持,在两个非常有趣的应用中使用机器学习算法。该设备的框架中集成了用于会议的面部表情/年龄/性别识别,以及用于服装分类的颜色识别。产生的反馈声音可以通过骨传导技术被用户听到,同时避免了周围噪音的干扰。所提出的AI-Vision大大降低了同类产品的成本,同时保持了高效的识别精度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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