本文選題：智慧社區(qū) + 門禁系統(tǒng)��； 參考：《東北大學(xué)》2014年碩士論文

【摘要】：隨著技術(shù)的不斷更新,科技的持續(xù)發(fā)展,家居智能化控制技術(shù)被廣泛的應(yīng)用于現(xiàn)代的日常生活中,智慧社區(qū)的概念也慢慢被人們所熟知。智慧社區(qū)是使用物聯(lián)網(wǎng)技術(shù)、云計(jì)算技術(shù)等,為達(dá)到安全生活、便利出行為宗旨而提出的新型社區(qū)。智慧社區(qū)中的門禁控制系統(tǒng)有著保障社區(qū)居民出入安全的職責(zé),在整個(gè)智慧社區(qū)中起著極其重要的地位。同時(shí),人臉識(shí)別技術(shù)有著非接觸式、非侵犯性的特點(diǎn),不斷成為人們研究的熱點(diǎn)。因此,對(duì)基于人臉識(shí)別智慧社區(qū)門禁控制系統(tǒng)的研究有著重要的意義。本論文在研究了各種生物身份識(shí)別原理和人臉識(shí)別技術(shù)國內(nèi)外發(fā)展現(xiàn)狀的基礎(chǔ)上,結(jié)合實(shí)際生活中智慧社區(qū)建設(shè)項(xiàng)目的需求,設(shè)計(jì)了一種新型的基于人臉識(shí)別的門禁控制系統(tǒng)。論文重點(diǎn)對(duì)基于隱馬爾可夫模型的人臉識(shí)別算法進(jìn)行了詳細(xì)的研究,介紹了圖像的預(yù)處理過程,建立了人臉的嵌入式隱馬爾可夫模型,并使用配置OpenCV類庫的Microsoft Visual Studio 2010平臺(tái)將其實(shí)現(xiàn),通過對(duì)yale人臉庫、ORL人臉庫和自制人臉庫的實(shí)驗(yàn)結(jié)果分析,表明基于嵌入式隱馬爾可夫模型的人臉識(shí)別算法識(shí)別效果較好,但光照變化對(duì)其影響較大,對(duì)人臉表情變化的魯棒性較好。論文將智慧社區(qū)門禁控制系統(tǒng)分為手機(jī)終端、人臉識(shí)別、后臺(tái)服務(wù)器處理和門禁控制器四個(gè)模塊,并對(duì)各個(gè)模塊分別進(jìn)行分析設(shè)計(jì)并將其實(shí)現(xiàn)。通過對(duì)系統(tǒng)的實(shí)驗(yàn)測(cè)試,本系統(tǒng)可以滿足實(shí)際項(xiàng)目需求,且使用方便,識(shí)別精度高,有著重要的實(shí)用價(jià)值。
[Abstract]:With the continuous updating of technology and the sustainable development of science and technology, intelligent home control technology has been widely used in modern daily life, and the concept of intelligent community has been gradually known by people. Intelligent community is a new type of community, which uses Internet of things technology, cloud computing technology and so on, in order to achieve a safe life and convenient travel. The access control system in the intelligent community has the duty of ensuring the safe access of the community residents, and plays an extremely important role in the whole intelligent community. At the same time, face recognition technology has the characteristics of non-contact, non-invasive, and has become a hot research topic. Therefore, it is of great significance to study the access control system of intelligent community based on face recognition. On the basis of studying the principle of biometric identification and the development of face recognition technology at home and abroad, this paper designs a new access control system based on face recognition, combining with the requirement of intelligent community construction project in real life. In this paper, the algorithm of face recognition based on hidden Markov model is studied in detail, the process of image preprocessing is introduced, and the embedded hidden Markov model of human face is established. It is implemented on the Microsoft Visual Studio 2010 platform configured with OpenCV class library. The experimental results of yale face database and self-made face database show that the face recognition algorithm based on embedded hidden Markov model is effective. But the illumination change has great influence on it, and the robustness to the change of facial expression is better. In this paper, the intelligent community access control system is divided into four modules: mobile phone terminal, face recognition, background server processing and access controller. Through the test of the system, the system can meet the needs of the actual project, and it is easy to use, and has high recognition accuracy, which has important practical value.
【學(xué)位授予單位】：東北大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：TU855;TP391.41
，

本文編號(hào)：2099883