Deep-Learning Based Missing Child Detection Assistance System Using Autonomous Robot

초록

This paper proposes a deep learning-based missing child detection assistance system using autonomous robots. The proposed system utilizes the clothing and height information of the missing child, which is received upon reporting a missing child. It employs deep learning-based multi-label classification techniques to search for clothing information and utilizes object detection techniques along with distance information to search for height information. Autonomous robots are employed, utilizing SLAM(Simultaneous Localization and Mapping) to perform path planning and localization based on a pre-generated 2D map. Finally, when the autonomous robot successfully identifies the missing child using clothing and height information, its location is transmitted to the Ground Control Station (GCS).

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