Waterside rescue robot based on SLAM technology and deep learning

Abstract

The invention discloses a waterside rescue robot based on the SLAM technology and deep learning. The waterside rescue robot comprises an image information acquisition module, a sound information acquisition module, an information processing module, a control module, a motion module, a transmission receiving module and a rescue alarm module; the image information acquisition module is used for collecting map information of a surrounding environment and image information of a water surface environment; the sound information acquisition module is used for collecting sound information of the watersurface environment; the information processing module is used for receiving the map information, the image information and the sound information and performing recognition based on the SLAM technology of an ROS system and a target detection and sound classification algorithm based on a deep convolutional neural network; the control module is used for outputting a motion control signal; the motion module is used for doing responding action according to the motion control information; the transmission receiving module is used for data transmission; and the rescue alarm module is connected to the information processing module and is used for sending a rescue signal. The waterside rescue robot based on the SLAM technology and deep learning according to the embodiment can perform rapid patrol, can detect a sudden drowning situation and promptly notify rescuers and is efficient and intelligent.

Description

technical field [0001] The invention relates to the technical field of robots, in particular to a waterside rescue robot based on SLAM technology and deep learning. Background technique [0002] At present, for drowning rescue, the method adopted by the rescue team is still that the volunteers take turns to guard the swimming crowded areas in different time periods every day. First, the efficiency is low. A drowning incident occurred. Contents of the invention [0003] The present invention aims to solve at least one of the technical problems existing in the prior art. To this end, the present invention proposes a waterside rescue robot based on SLAM technology and deep learning, which can detect sudden drowning and notify rescuers in time, which is highly efficient and intelligent. [0004] The waterside rescue robot based on SLAM technology and deep learning according to an embodiment of the present invention includes: an image information collection module for collect...

AI Technical Summary

Problems solved by technology

[0002] At present, for drowning rescue, the method adopted by the rescue team is still that the volunteers take turns to guard the swimming crowded areas in different time periods every day. First, the efficiency is low. drowning incident

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