A Computer Vision-Based Auxiliary Control Method for Electric Stair Climbing Stretcher

Abstract

The invention relates to a computer vision-based auxiliary control method for an electric stair-climbing stretcher vehicle, which is to construct a network model, including a network model 1 and a network model 2; train the network model to obtain a trained network model; The swaying eigenvector of the stretcher obtained in real time is input into the trained network model, and the first eigenvector is output; the Euclidean distance between the first eigenvector and each eigenvector in the target vector set is calculated, and the Euclidean distance to the first eigenvector is determined to be the smallest The eigenvector of the eigenvector is used as the target motion eigenvector, and the motion parameters of the stretcher are adjusted so that the first eigenvector tends to the target motion eigenvector when it touches the step at the next moment. That is to say, the solution of the present invention can adjust the motion feature vector to control the movement of the stretcher, which ensures the stable climbing of the stretcher.

Description

technical field [0001] The invention relates to the technical field of stretcher control, in particular to an auxiliary control method for an electric stair-climbing stretcher based on computer vision. Background technique [0002] Stretcher is a kind of medical device. It is used to carry patients and wounded in hospitals or the army. It is made of bamboo, wood, metal, etc., with canvas or rope stretched in the middle, which meets the needs of the disease and is convenient for patients and wounded to lie down. [0003] The traditional stretcher is inconvenient to use in climbing and obstacle-crossing environments, and it takes a lot of manpower to realize the status quo of patient transfer, which greatly reduces the convenience of using the stretcher. At the same time, for patients who have no autonomous mobility in emergency situations, it often happens that there is no elevator in the building where they live or the elevator on a higher floor cannot quickly reach the floo...

AI Technical Summary

Problems solved by technology

[0003] The traditional stretcher is inconvenient to use when climbing and crossing obstacles, and it takes a lot of manpower to realize the status quo of patient transfer, which greatly reduces the convenience of using the stretcher

At the same time, for patients who have no autonomous mobility in emergency situations, it often happens that there is no elevator in the building where they live or the elevator on a higher floor cannot quickly reach the floor where the patient is located. Back, two-person lifting, etc., the above-mentioned methods are likely to make the patient's body skew and feel uncomfortable or cause secondary injury to the patient, and the efficiency of manpower transfer of the patient during the process of going up and down the stairs is low, and it also causes a lot of physical exertion for the medical staff.

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