This article proposes a robotic system that aims to support the elderly, to comply with the medication regimen to which they are subject. The robot uses its locomotion system to move to the elderly and through computer vision detects the packaging of the medicine and identifies the person who should take it at the correct time. For the accomplishment of the task, an application was developed supported by a database with information about the elderly, the medicines that they have prescribed and the respective timetable of taking. The experimental work was done with the robot NAO, using development tools like MySQL, Python, and OpenCV. The elderly facial identification and the detection of medicine packing are performed through computer vision algorithms that process the images acquired by the robot’s camera. Experiments were carried out to evaluate the performance of object recognition, facial detection, and facial recognition algorithms, using public databases. The tests made it possible to obtain qualitative metrics about the algorithms’ performance. A proof of concept experiment was conducted in a simple scenario that recreates the environment of a dwelling with seniors who are assisted by the robot in the taking of medicines.

中文翻译：

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家庭机器人服务支持

本文提出了一个机器人系统，旨在支持老年人，遵守他们所接受的药物治疗方案。机器人使用其运动系统移动到老年人身上，并通过计算机视觉检测药物的包装并识别应在正确时间服用的人。为了完成这项任务，开发了一个应用程序，由一个数据库支持，该数据库包含有关老年人、他们开的药物和各自服用时间表的信息。实验工作是在机器人 NAO 上完成的，使用了 MySQL、Python 和 OpenCV 等开发工具。老年人面部识别和药品包装检测是通过计算机视觉算法处理机器人摄像头获取的图像进行的。使用公共数据库进行了实验以评估对象识别、面部检测和面部识别算法的性能。这些测试使得获得有关算法性能的定性指标成为可能。在一个简单的场景中进行了概念验证实验，该场景重现了老人的住宅环境，老人在机器人的协助下服药。