Dangerous environment active sensing method based on intelligent identification

A technology of intelligent identification and danger, applied in the field of intelligent perception, can solve the problems of frequent occurrence of safety accidents, lack of effective means for state monitoring of sightseeing vehicles and emergency early warning, etc., and achieve the effect of increasing the probability

Inactive Publication Date: 2020-12-11
黑龙江风声水起科技有限公司
View PDF7 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, what is not compatible with the rapid development of the industry is the lack of effective means for state monitoring and emergency warning of sightseeing vehicles, resulting in frequent occurrence of safety accidents

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

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0018] In an embodiment of the present invention, a method for active perception of a dangerous environment based on intelligent identification includes the following steps:

[0019] 1) Position the real-time position of the sightseeing vehicle through the Beidou positioning module, and send the real-time position information to the central processor for receiving and processing the data information of each module through the wireless network in real time;

[0020] 2) Detect the speed information of the sightseeing vehicle through the vehicle track perception module, and use the video acquisition module to collect the video of the real-time environment around the sightseeing vehicle, and send the detected speed information and the collected video information to the central processing in real time through the wireless network device;

[0021] 3) Feature extraction is performed on the objects in the video information collected by the video acquisition module through the feature ...

Embodiment 2

[0026] The difference between this embodiment and embodiment 1 is:

[0027] In this embodiment, in step 2), the video acquisition module adopts a VR camera. Virtual reality technology (referred to as VR) is also called Lingjing technology, which is a brand-new practical technology developed in the 20th century. Virtual reality technology includes computer , electronic information and simulation technology in one, and its basic implementation method is to simulate the virtual environment by computer so as to give people a sense of environmental immersion. The VR camera used in the present invention can be composed of three parts: lens group, software for automatically integrating and processing materials, and a playback platform , it enables users to realize 360° panorama shooting, and the captured original video will generate a very realistic 3D virtual reality video after being converted and processed. The specific application method can adopt the existing public technology an...

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 a dangerous environment active sensing method based on intelligent identification, which relates to the field of intelligent sensing, and comprises the steps of performing real-time positioning and real-time position information acquisition on a sightseeing vehicle through a Beidou positioning module and a video acquisition module, through feature extraction and comparison,conveniently forming a corresponding object voice signal, arranging a Beidou positioning module, a distance sensing module and a danger warning module, so that a warning signal is conveniently formedto remind a sightseeing vehicle, and further arranging an emergency rescue help-seeking module. The sightseeing vehicle is ensured to obtain rescue in time when emergency rescue is triggered, the rescue probability of the sightseeing vehicle is increased, and safety of the sightseeing vehicle is guaranteed. An effective monitoring means is provided for sightseeing vehicle state monitoring and emergency early warning, the occurrence frequency of safety accidents can be reduced, and the method is worthy of popularization.

Description

technical field [0001] The invention relates to the field of intelligent perception, in particular to an intelligent recognition-based active perception method for dangerous environments. Background technique [0002] Non-highway tourist vehicles are an important carrier for leisure, entertainment and transportation of tourists. They serve more than 400 large and medium-sized amusement parks and nearly 10,000 tourist attractions across the country, with over 500 million passengers and hundreds of thousands of sightseeing vehicles annually. [0003] In recent years, with the rapid development of the tourism and cultural industry, new tourist attractions and playgrounds have sprung up, and the sightseeing vehicle industry has also ushered in a good opportunity for development, and the number of equipment is increasing. However, what is not compatible with the rapid development of the industry is the lack of effective means for state monitoring and emergency warning of sightsee...

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): G08B21/00G08B21/02G08B21/24G06K9/00
CPCG08B21/00G08B21/02G08B21/24G06V20/41
Inventor 郭明达
Owner 黑龙江风声水起科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products