Check patentability & draft patents in minutes with Patsnap Eureka AI!

Intelligent moving system and method for patient emergency article box

A mobile system and item box technology, applied in the field of video image analysis, can solve the problems of low accuracy, inconvenient installation, complex monitoring system, etc., and achieve the effect of convenient operation and convenient installation.

Pending Publication Date: 2020-04-03
JIANGSU HONGXIN SYST INTEGRATION
View PDF2 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Patent application number 201510449905.1, "a pressure distributed sensor and its intelligent hospital bed monitoring system and monitoring method", the invention obtains the information of the bedridden patient by installing the pressure sensor on the hospital bed, but it does not solve the problem of the patient quickly taking things from the bedside
And the monitoring system of this invention is relatively complicated and inconvenient to install
[0005] Patent application number 201410826544.3, "A monitoring system for critically ill patients based on intelligent video", this invention uses traditional image analysis technology, but the accuracy rate is not high

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Intelligent moving system and method for patient emergency article box
  • Intelligent moving system and method for patient emergency article box
  • Intelligent moving system and method for patient emergency article box

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0039] Such as figure 1 As shown, an intelligent mobile system for a patient's emergency item box includes a three-dimensional support 1 , an arc-shaped guide rail 2 , a main control unit 3 , a night light 4 , a slider 5 , a camera 6 and an emergency item box 7 . The three-dimensional support 1 is installed in the middle of the head of the hospital bed; the arc-shaped guide rail 2 is installed on the three-dimensional support 1, and the middle position is connected with the three-dimensional support 1; the main control unit 3 is installed on the three-dimensional support 1, and connect with night light 4. The slider 5 is installed on the arc-shaped guide rail 2; there is a motor in the slider 5, which can move left and right along the guide rail; the emergency item box 7 is movably connected with the slider 5; the camera 6 has a normal mode And infrared mode, can monitor the patient around the clock, it is installed on the slider 5. The camera 6 can move with the slider 5, s...

Embodiment 2

[0042] Such as figure 2 As shown, the way to turn on the night light is based on deep learning technology. In the infrared mode of the camera, the image processing module will intelligently turn on the night light for awake patients who need to turn on the light. Such as figure 2 shown, including the following steps:

[0043] Step 1: Initialize the continuous frame parameter F as 0;

[0044] Step 2: In the infrared mode, the image processing module selects a frame of image at a fixed time interval, performs human eye recognition on the image, and determines whether the human eye in the image is open.

[0045]Step 3: If it is not detected that the human eyes are open, return to the first step; if it can be detected that the human eyes are open, use deep learning technology to determine whether the patient in the screen has a need to turn on the light.

[0046] Step 4: If it is not detected that the patient has a need to turn on the light, return to the first step; if it ca...

Embodiment 3

[0050] Such as image 3 As shown, a method for intelligently moving a patient's emergency item box, the implementation steps are as follows:

[0051] Step 1: Initialize the position of the camera and the object box at the moment as a, and the camera transmits the monitoring picture collected at position a to the image processing module in the main control unit. The image processing module selects a frame of image P every time interval T 1 , to detect whether the patient has moved. Its specific implementation process is as follows:

[0052] (1): The image processing module initializes and selects a frame of image P 0 , as a reference image.

[0053] (2): The image processing module selects a frame of image P every time T 1 , as the image to be detected.

[0054] (3): The reference image P 0 and the image to be detected P 1 Perform grayscale processing, and compensate for the influence of light intensity on pixel values, and obtain grayscale reference images P 0 ’, and ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses an intelligent moving system and method for a patient emergency article box. The system comprises a three-dimensional support, an arc-shaped guide rail, a main control unit, anight lamp, a sliding block, a camera and an emergency article box. The camera is used for monitoring a bedridden patient in real time. According to the deep learning technology, the main control unitcarries out intelligent analysis on a monitoring picture, and the emergency article box is automatically moved to a set position where the patient can take articles more conveniently. In addition, inthe infrared mode at night, the night lamp is intelligently turned on for a sober patient with the lamp turning-on requirement. Good medical service can be provided for a patient, the risk of accidents of the patient is reduced as much as possible, and meanwhile burdens of family members and medical staff are reduced.

Description

technical field [0001] The invention relates to a system and method for intelligently moving a patient's emergency item box, and belongs to the technical field of video image analysis. Background technique [0002] In recent years, with the rise of deep learning technology, intelligent analysis of video surveillance has become more widely used in the medical industry. It is an inevitable trend in the application of video surveillance in the medical industry to combine the existing technology and use the advantages of video surveillance to improve the existing medical conditions and provide patients with good services. [0003] In hospital wards, bedside tables for emergency items such as medicines, cups and tissues are usually fixed to the side of the bed. When the patient on the hospital bed wants to get the articles at the bedside, since the patient maintains a side-lying posture and faces the bedside table with his back, he needs to get up or turn over. This is undoubte...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): H04N5/232H04N7/18H05B47/105G06K9/00G06T7/20
CPCH04N7/18G06T7/20G06V40/161H04N23/611H04N23/695Y02B20/40
Inventor 刘大伟车少帅胡笳梁栋王宁
Owner JIANGSU HONGXIN SYST INTEGRATION
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2025 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com