Application of attitude tracking algorithm for face recognition based on OpenCV in the intelligent door lock

التفاصيل البيبلوغرافية
العنوان: Application of attitude tracking algorithm for face recognition based on OpenCV in the intelligent door lock
المؤلفون: Yao Cheng, Zhiguo Zhu
المصدر: Computer Communications. 154:390-397
بيانات النشر: Elsevier BV, 2020.
سنة النشر: 2020
مصطلحات موضوعية: Password, Authentication, Record locking, Computer Networks and Communications, Computer science, Reliability (computer networking), 020206 networking & telecommunications, 02 engineering and technology, Tracking (particle physics), Facial recognition system, 0202 electrical engineering, electronic engineering, information engineering, Information system, 020201 artificial intelligence & image processing, Algorithm
الوصف: In the era of information system authentication is a major problem. Automated embedded systems in today’s world have made a lot of progress. The importance of an automated embedded system has proved highly effective in applications such as surveillance and private security. Modern smart door locks are very susceptible to errors and damage, which will reduce security. Almost every intelligent Door lock has a passcode entry or faces recognition outside the door which makes it vulnerable. The paper is intended to provide the user with open source software OpenCV and proposed an Efficient attitude tracking algorithm (EATA). Furthermore, this article aims to ensure that a key lock system that is retro and modern simultaneously offers a certain safety and reliability. The experimental results show that the proposed system is more efficient, consumes less power, and cost-effective.
تدمد: 0140-3664
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::49b6ea9756358aa81c66daacf13e8d34
https://doi.org/10.1016/j.comcom.2020.02.003
حقوق: CLOSED
رقم الأكسشن: edsair.doi...........49b6ea9756358aa81c66daacf13e8d34
قاعدة البيانات: OpenAIRE