SMART GLASSES FOR VISUALLY IMPAIRED PEOPLE WITH FACIAL RECOGNITION

2022 International Conference on Communication, Computing and Internet of Things (IC3IoT) Pub Date : 2022-03-10 DOI:10.1109/IC3IOT53935.2022.9768012

Y. R. S. Kumar, T. Nivethetha, P. Priyadharshini, U. Jayachandiran

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引用次数: 7

Abstract

Our research describes the design and development of raspberry pi based smart glasses for the welfare of visually impaired people with face recognition and voice assistant. This idea helps them to recognize people around them even when their known person is not talking and also it has some cool features like playing songs, browsing etc. This makes their life easier and acts as a digital assistant. This device also has Hot word detection. To use this device, The user is requested to call the device using the hot words like “Hello iris”, “ok iris” etc. and provide instruction. It takes their voice instruction as input and provides output by speaking. Our software is made to interact with the user like Alexa and google assistant. Using pre built python modules, it is easy for us to add many other features too. Our software can be implemented using Raspberry pi which is a very powerful ARM based SOC (System on a Chip). Raspberry pi can run python, C++ codes and it can also perform graphical calculation with its embedded graphics. In this system, we use Raspberry Pi Face Recognition, ESP 32 camera Web Server, face encodings, Pico voice console, porcupine engine, Google Text to Speech. Our proposed system is better, highly efficient, highly economical, User friendly and low weight.

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为视障人士提供面部识别功能的智能眼镜

我们的研究描述了基于树莓派的智能眼镜的设计和开发，为视障人士提供面部识别和语音助手。这个想法可以帮助他们识别周围的人，即使他们认识的人没有说话，而且它还有一些很酷的功能，如播放歌曲，浏览等。这让他们的生活更轻松，就像一个数字助理。本设备还具有热词检测功能。使用该设备时，用户需要使用“虹膜你好”、“虹膜好”等热词呼叫设备，并提供指导。它以他们的语音指令为输入，并通过说话提供输出。我们的软件是为了与用户互动，就像Alexa和谷歌助手。使用预构建的python模块，我们也很容易添加许多其他功能。我们的软件可以使用树莓派来实现，树莓派是一个非常强大的基于ARM的SOC(片上系统)。树莓派可以运行python, c++代码，还可以通过其嵌入的图形执行图形计算。在本系统中，我们使用了树莓派人脸识别、ESP 32摄像头Web服务器、人脸编码、Pico语音控制台、豪猪引擎、Google文本到语音。该系统具有性能好、效率高、经济实惠、用户友好、重量轻等特点。

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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来源期刊

2022 International Conference on Communication, Computing and Internet of Things (IC3IoT)

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