Life characteristic detection and identification method for rescue robot

Abstract

The invention provides a life characteristic detection and identification method for a rescue robot. The life characteristic detection and identification method is used for solving the technical problem of rescue failure caused by complex environment of an existing rescue robot. The life characteristic detection and identification method comprises the following steps that 1, an O-shaped detectionarea is constructed with the position of the rescue robot as a starting point, and an obstacle avoidance system of the rescue robot is started; 2, rescue scanning is performed on the O-shaped detection area by using a carbon dioxide detector to obtain a target point set; 3, target detection is carried out on the target point set by utilizing an infrared detector, and a target point to be rescued is determined; and 4, third-stage identification is performed on the to-be-rescued target point by utilizing a radar life detector, the specific position of a rescuer is determined, and a distress signal is sent by a controller of the rescue robot to timely notify rescue workers to rescue. According to the life characteristic detection and identification method, the multiple detectors are combined,so that the recognition precision is improved, the rescue time is shortened, and the rescue robot has the capability of efficiently and accurately detecting the vital signs of a human body.

Description

technical field [0001] The invention relates to the technical field of robot engineering, in particular to a method for detecting and identifying life features of a rescue robot. Background technique [0002] After entering the 21st century, artificial intelligence, big data, and machine learning have stepped onto the stage of the times. As the carrier robot of "artificial intelligence +", it has also become the new favorite of the times. It is used in military industry, agriculture, education, industry and other fields, and can complete tasks such as delivering goods, inspecting agricultural products, and guiding children to learn efficiently. In addition, robots in high-risk industries are also the focus of attention. When a disaster occurs, rescuers may not be able to enter the scene for rescue due to geographical constraints, and miss the best time for rescue. Compared with rescue team members, rescue robots have stronger environmental adaptability, which is one of the...

AI Technical Summary

Problems solved by technology

[0003] Aiming at the technical problem that the existing rescue robots fail to rescue due to the complex environment, the present invention proposes a life feature detection and identification method for the rescue robot, which enables the rescue robot to have higher efficiency in a complex rescue environment, and is fast, Efficient rescue capability

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