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Intelligent riding protection method and system based on big data image recognition

An image recognition and protection system technology, applied in protective clothing, character and pattern recognition, clothing, etc., can solve problems such as difficult riders falling

Inactive Publication Date: 2020-06-09
苏州商信宝信息科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

When people are doing cycling, due to the high speed and the unpredictability of the scene, it is difficult to completely prevent the rider from falling from the riding activity

Method used

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  • Intelligent riding protection method and system based on big data image recognition
  • Intelligent riding protection method and system based on big data image recognition
  • Intelligent riding protection method and system based on big data image recognition

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0076] refer to Figure 1-2 , Figure 6-9 shown.

[0077] Specifically, this embodiment provides an intelligent riding protection method based on big data image recognition, the method includes the following steps:

[0078] S1. Control the touch sensor 101 disposed on the inner surface of the protective neck cover 100 to start acquiring human body touch information in real time and analyze whether the protective neck cover 100 is worn by the user according to the human body touch information.

[0079] In S1, after the start of the protective neck cover 100 is completed, the touch recognition module 31 included in the microprocessor 3 controls the touch sensor 101 arranged on the inner surface of the protective neck cover 100 to start real-time acquisition of human body touch information. After the startup is completed, the information analysis module 32 included in the microprocessor 3 analyzes whether the protective neck cover 100 is worn by the user according to the human ...

Embodiment 2

[0101] refer to Figure 3-4 , Figure 6-10 , Figure 12 shown.

[0102] Specifically, this embodiment is basically the same as Embodiment 1, except that, in this embodiment, in S3, the method further includes the following steps:

[0103] S30. Analyze in real time according to the inclination angle information whether the inclination angle of the user exceeds a second preset angle.

[0104] Specifically, after the information analysis module 32 analyzes that the tilt angle of the protective neck cover 100 exceeds the first preset angle, the information analysis module 32 analyzes in real time whether the tilt angle of the user exceeds the second preset angle according to the tilt angle information. Set the angle, wherein the second preset angle is preferably 60 ° in the present embodiment, and the user can set the second preset angle by an external device connected to the microprocessor 3 according to his own conditions, so as to judge whether the user has appeared or not. ...

Embodiment 3

[0114] refer to Figure 5-6 , Figure 10-11 shown.

[0115] Specifically, this embodiment is basically the same as Embodiment 1, except that in this embodiment, after S2, the method further includes the following steps:

[0116] S23. Control the opening of the perspiration outlet 208 arranged at the bottom of the riding protective clothing 109 bound to the protective neck cover 100 to discharge the user's sweat through the perspiration drainage groove 209 arranged on the inner surface of the riding protective clothing 109 .

[0117] Specifically, after the information analysis module 32 analyzes that the protective neck cover 100 has been worn by the user, the perspiration control module 49 included in the microprocessor 3 controls the riding protective clothing 109 bound to the protective neck cover 100 The sweat outlet 208 at the bottom position is opened to discharge the user's sweat through the sweat drainage groove 209 arranged on the inner surface of the riding protec...

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Abstract

The invention discloses an intelligent riding protection method and a system based on big data image recognition. The method comprises the following steps: a touch sensor is controlled to be started to obtain human body touch information in real time and analyze whether a user wears a protective neck sleeve or not; if yes, a gyroscope is controlled to be started to acquire inclination angle information in real time and analyze whether the inclination angle of the user exceeds a first preset angle or not; if yes, a first inflation element is controlled to be started to eject an airbag helmet out to cover the head of the user and whether the inclination angle of the user is recovered to be within the first preset angle or not is analyzed in real time; if yes, the first inflation element is controlled to release gas in the airbag helmet to be recycled, and a motion camera is controlled to be started to shoot motion images in real time; whether an object flies to the user or not is analyzed in real time, if yes, the object is marked as a dangerous object and the motion trail of the dangerous object is calculated in real time; a rotating mechanism is controlled to rotate the protectionface of the airbag helmet to face the dangerous object, and the first inflation element is controlled to be started to eject the airbag helmet out.

Description

technical field [0001] The invention relates to the field of human body protection for cyclists, in particular to an intelligent cyclist protection method and system based on big data image recognition. Background technique [0002] With the rapid development of the country's overall economy and social progress, the material living standards of ordinary people have been continuously improved. Strengthening exercise, going outdoors, and expressing the heart have become a healthy trend; jogging, cycling, mountain climbing, hiking, etc. have become the way more and more people pursue healthy life and consumption. [0003] Cycling is a healthy and natural way of sports tourism. It has many benefits such as exercising people's quality, enhancing physical fitness, and increasing experience, and is widely welcomed by people. When people are doing cycling, due to the high speed and the unpredictability of the scene, it is difficult to completely prevent the rider from falling from ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A41D13/05A41D13/018A41D13/005A41D13/11A43B7/20G06K9/00
CPCA41D13/05A41D13/0512A41D13/018A41D13/0056A41D13/11A43B7/20A41D2600/104G06V20/41
Inventor 徐建红
Owner 苏州商信宝信息科技有限公司