| Title: | OS9-5 Deep Guard Dog - AI-Based Night Intrusion Detection Mobile Phone Software |
|---|---|
| Publication: | ICAROB2025 |
| Volume: | 30 |
| Pages: | 264-267 |
| ISSN: | 2188-7829 |
| DOI: | 10.5954/ICAROB.2025.OS9-5 |
| Author(s): | Keming Chen, Jiaxin Wang |
| Publication Date: | February 13, 2025 |
| Keywords: | home security, Android Studio, humanoid object detection, voice alarm functions |
| Abstract: | This article introduces an Android mobile app called "Super Electronic Watchdog", which aims to solve the problem of home security. The application utilizes Android Studio, NCNN framework and Opt2Ada night vision algorithm to realize humanoid object detection and night image enhancement. Users can switch the camera, select the humanoid detection model and CPU/GPU operation mode, and activate night vision through the app. The application has vibration and voice alarm functions to alert the user that someone has entered the monitored area. The software is divided into Native layer and Java layer, using C++ and Java development, the overall design structure is clear, efficient and practical. |
| PDF File: | https://alife-robotics.co.jp/members2025/icarob/data/html/data/OS/OS9/OS9-5.pdf |
| Copyright: | © The authors. This article is distributed under the terms of the Creative Commons Attribution License 4.0, which permits non-commercial use, distribution and reproduction in any medium, provided the original work is properly cited. See for details: https://creativecommons.org/licenses/by-nc/4.0/ |
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