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  • 學位論文

發展移動裝置聯網之有效整合系統

Development of an Effective Integrated System for Internet of Mobile Devices

指導教授 : 王銀添

摘要


該研究提出了一種低成本有效的人工智能(AI)算法集成系統,用於商務辦公中經常使用的移動設備的通信。移動設備包括安卓、基於 ROS 的設備和機器人。用於通信的工具包括藍牙和串列通訊。在研究中,使用名為基於區域的卷積神經網絡 (R-CNN) 的 AI 算法來偵測對象。該研究的目的是將所有應用程序集成在一起,以提高數據通信和監控的效率。

關鍵字

R-CNN 藍牙連接 行動裝置

並列摘要


The study proposed a low-cost and effective artificial intelligence (AI) algorithm integrated system for communication of mobile devices that are frequently used in a business office. The mobile devices include android, ROS based devices, and robots. The tools used for communication include Bluetooth and serial port. In the study, an AI algorithm named region-based Convolutional Neural Networks (R-CNN) was used to detect object. The objective of the study is to integrate all applications together in order to improve the efficiency of data communication and monitoring.

並列關鍵字

R-CNN Bluetooth connection Mobile Devices

參考文獻


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[2] H. Zhang, K. Watanabe, K. Motegi, and Y. Shiraishi, "ROS Based Framework for Autonomous Driving of AGVs," Proceedings of ICMEMIS, pp. 4-6, 2019.
[3] H. Hu, J. Gu, Z. Zhang, J. Dai, and Y. Wei, "Relation networks for object detection," in Proceedings of the IEEE conference on computer vision and pattern recognition, 2018, pp. 3588-3597.
[4] S. Ren, K. He, R. Girshick, and J. Sun, "Faster r-cnn: Towards real-time object detection with region proposal networks," Advances in neural information processing systems, vol. 28, pp. 91-99, 2015.
[5] S. Ren, K. He, R. Girshick, and J. Sun, "Faster R-CNN: towards real-time object detection with region proposal networks," IEEE transactions on pattern analysis and machine intelligence, vol. 39, no. 6, pp. 1137-1149, 2016.