智慧型手機（Smartphone）是指具有行動作業系統，可透過安裝應用軟體、遊戲等來擴充功能的手機。其運算能力及功能均優於傳統功能型手機。
　　智慧型手機的功能需要靠各式各樣的APP來擴充，本論文成功將深度學習的「SSD 物件偵測」、「MTCNN人臉偵測」、「arc face人臉辨識」演算法實作在Android手機環境，做出具有實用功能的人臉解鎖APP。並設計出計算速度較快且準度較高的SSD人臉偵測的演算法，也比較了SSD 及MTCNN演算法的優缺點，分析了人臉辨識流程中的各階段的耗時，以及分析人臉偵測準確度難以提升的原因。本論文之人臉辨識APP針對手機硬體效能量身訂做，在準確度與速度間取得平衡，製作出良好使用者體驗的APP。

A smart phone is a mobile phone that has a mobile operating system and can be expanded by installing application software, games, and the like. Its computing power and functions are superior to traditional functional phones.
The function of the smart phone is expanded by various APPs. This paper successfully implements the deep learning "SSD object detection", "MTCNN face detection" and "arc face face recognition" algorithm in Android mobile phone environment, make a face unlocking app with practical functions. The algorithm of SSD face detection with faster calculation speed and higher accuracy is designed. The advantages and disadvantages of SSD and MTCNN algorithms are also compared. The time consumption of each stage in the face recognition process is analyzed. And found out the reason why face detection accuracy is difficult to improve. The face recognition APP of this thesis is tailor-made for mobile phones, achieving a balance between accuracy and speed, and making an APP with a good user experience.

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