基于EAIDK310和OneNET云平台的非接触式智能门禁系统
2022年电子技术应用第5期
楼陈哲，夏 鲲，张文君，莫英东
上海理工大学 电气工程系，上海200093
摘要：物联网时代下，智能家居作为人们日常生活中重要的一环，正在飞速发展。设计了一款基于EAIDK310和OneNET云平台的非接触式智能门禁系统，采用Arm公司与Open AI Lab联合开发的EAIDK310人工智能开发套件作为系统控制核心，在主控板内通过人脸识别、手势识别、语音交互等功能实现无接触门禁进出。系统借助人工智能中发展较为成熟的卷积神经网络并通过百度AI开放平台的领先优势进行人脸识别、手势数字识别和语音实时交互，在保证识别速度够快的同时也能够维持非常高的识别精准度，引入活体检测避免不法分子使用照片欺骗系统，使得整个门禁系统更加安全。系统通过Wi-Fi将数据上传移动OneNET云平台，与微信小程序进行数据图像交互，主人可在任何地点通过手机对门禁系统进行解锁等操作，并能监控门禁外实时图像，能够在住户安全方面提供保障。
中图分类号：TN98；TP274
文献标识码：A
DOI：10.16157/j.issn.0258-7998.211821
中文引用格式：楼陈哲，夏鲲，张文君，等. 基于EAIDK310和OneNET云平台的非接触式智能门禁系统[J].电子技术应用，2022，48(5)：89-93.
英文引用格式：Lou Chenzhe，Xia Kun，Zhang Wenjun，et al. Non-contacted intelligent access control system based on EAIDK310 and OneNET cloud platform[J]. Application of Electronic Technique，2022，48(5)：89-93.
文献标识码：A
DOI：10.16157/j.issn.0258-7998.211821
中文引用格式：楼陈哲，夏鲲，张文君，等. 基于EAIDK310和OneNET云平台的非接触式智能门禁系统[J].电子技术应用，2022，48(5)：89-93.
英文引用格式：Lou Chenzhe，Xia Kun，Zhang Wenjun，et al. Non-contacted intelligent access control system based on EAIDK310 and OneNET cloud platform[J]. Application of Electronic Technique，2022，48(5)：89-93.
Non-contacted intelligent access control system based on EAIDK310 and OneNET cloud platform
Lou Chenzhe，Xia Kun，Zhang Wenjun，Mo Yingdong
Department of Electrical Engineering，University of Shanghai for Science and Technology，Shanghai 200093，China
Abstract：In the era of Internet of Things, smart home, as an important part of people′s daily life, is developing rapidly. This paper designs a contactless intelligent access control system based on EAIDK310 and OneNET cloud platform, using the EAIDK310 AI development kit jointly developed by Arm and Open AI Lab as the system control core, and realizing contactless access control through face recognition, gesture recognition, voice interaction and other functions within the main control board. This work uses the more mature convolutional neural network in artificial intelligence and the leading edge of Baidu AI open platform for face recognition, gesture recognition and voice interaction in real time, which can maintain a very high recognition accuracy while ensuring a fast enough recognition speed, and the introduction of live detection to avoid unscrupulous elements using photos to cheat the system, making the whole access control system more secure. This work uploads data to the mobile OneNET cloud platform through Wi-Fi, and interacts with WeChat applet for data images, so that the owner can unlock the access control system and other operations through his cell phone at any location, and can monitor real-time images outside the access control, which can provide protection in terms of occupant security.
Key words :home automation；Internet of Things；intelligent access control system；image recognition；speech recognition
0 引言
物联网时代下，人工智能不断发展，其应用场景也在不断拓宽深入，人们对生活质量的需求在不断提升，家居环境舒适性、便捷性和安全性推动了智能家居的发展。智能门禁作为智能家居生态环中的基础产品，越来越得到大众的认可与买单。时至今日，智能门禁正飞速占领市场，相比于传统门锁，最显著的优点在于多样化和方便的解锁方式以及更有保障的住户安全，再也不会出现因为忘带钥匙导致无法进门的情况发生[1]。利用生物特征识别的门禁系统与计算机技术相结合，安全、准确、可靠，今后，基于生物特征识别的门禁系统有明朗的发展前景[2-3]。
2020疫情肆虐全球，非接触式的办公与生活方式显得更为重要，这更加速了新型非接触式智能家居产品的研究与应用。针对非接触式智能门禁，本文提出了一种融合人脸识别、手势识别以及语音识别的智能门禁系统，使得门禁进出更为方便且安全。
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作者信息：
楼陈哲，夏 鲲，张文君，莫英东
(上海理工大学 电气工程系，上海200093)
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