The Object Detection Application on Android Mobile Phone

• Main Authors: Zhen-Dong Jia, 賈鎮東
• Other Authors: Shi-Jinn Horng
• Format: Others
• Language: zh-TW
• Published: 2019
• Online Access: http://ndltd.ncl.edu.tw/handle/n5u9b9

碩士 === 國立臺灣科技大學 === 資訊工程系 === 107 === Android is a Linux-based, semi-open source operation system, mainly used for mobile devices. This is a development system with high degrees of freedom and wide compatibility. It provides a complete development environment and supports advanced drawing, processing power of the Internet, camera etc. The market share has gradually increased in recent years, and the application requirements of Android are also growing. In this paper, the object detection is applied to the Android system. The advantage of this development in Android is that more and more devices adopt this operating system, so the field that can be used in becomes wider, because of the high compatibility. The system proposed in this paper can be implemented on Android system devices. This paper designs and implements a complete object detection system on mobile phone, especially for the miniaturization and fast calculation of neural networks. A current mainstream object detection algorithm SSD is modified so that it can run on the mobile terminal instantly. For the model size, the original VGG16 network was replaced with a small network named MoblieNet, which greatly reduced the overall model size. For better accuracy, we use the method of Atrous Spatial Pyramid Pooling to concatenate and optimize feature map. The demo on Android is able to capture scenes from the camera and instantly detect objects from them.