教師資料查詢 | 類別: 期刊論文 | 教師: 陳冠辰 GUAN-CHEN CHEN (瀏覽個人網頁)

標題:Face Recognition in Intelligent Door Lock with ResNet50 Model Based on Deep Learning
學年
學期
出版(發表)日期2021/01/11
作品名稱Face Recognition in Intelligent Door Lock with ResNet50 Model Based on Deep Learning
作品名稱(其他語言)
著者S. Phawinee; J.F. Cai; Z.Y Guo; H.Z Zheng; G.C. Chen
單位
出版者
著錄名稱、卷期、頁數Journal of Intelligent & Fuzzy Systems, pp. 1-11
摘要Internet of Things is considerably increasing the levels of convenience at homes. The smart door lock is an entry product for smart homes. This work used Raspberry Pi, because of its low cost, as the main control board to apply face recognition technology to a door lock. The installation of the control sensing module with the GPIO expansion function of Raspberry Pi also improved the antitheft mechanism of the door lock. For ease of use, a mobile application (hereafter, app) was developed for users to upload their face images for processing. The app sends the images to Firebase and then the program downloads the images and captures the face as a training set. The face detection system was designed on the basis of machine learning and equipped with a Haar built-in OpenCV graphics recognition program. The system used four training methods: convolutional neural network, VGG-16, VGG-19, and ResNet50. After the training process, the program could recognize the user’s face to open the door lock. A prototype was constructed that could control the door lock and the antitheft system and stream real-time images from the camera to the app.
關鍵字Face recognition;intelligent lock;ResNet;deep learning
語言英文
ISSN1875-8967
期刊性質國外
收錄於SCI;
產學合作
通訊作者
審稿制度
國別荷蘭
公開徵稿
出版型式,電子版
相關連結
SDGs
  • 產業創新與基礎設施
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