Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Method and device for supervising dangerous driving behavior based on video recognition

A dangerous driving and video recognition technology, which is applied in the field of identifying whether there is dangerous driving behavior in the vehicle, and in the field of dangerous driving behavior supervision based on video recognition, can solve the problems of automatic identification and monitoring, so as to improve driving safety, reduce the probability of occurrence, Strengthen the effect of supervision and management

Inactive Publication Date: 2018-10-12
北京优创新港科技股份有限公司
View PDF7 Cites 17 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, the existing vehicle monitoring system cannot detect whether the driver has dangerous driving behaviors such as not wearing a seat belt, making a phone call, or fatigue driving during driving, and whether the cargo compartment door of the truck is accidentally opened during driving. Real-time and effective automatic identification and monitoring

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
  • Method and device for supervising dangerous driving behavior based on video recognition
  • Method and device for supervising dangerous driving behavior based on video recognition
  • Method and device for supervising dangerous driving behavior based on video recognition

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0026] This embodiment provides a specific implementation method of a dangerous driving behavior supervision method based on video recognition, such as figure 1 shown, including the following steps:

[0027] (1) Gather video images. The collected video images include the driver's upper body video image, the driver's facial video image, and the interior video image of the warehouse.

[0028] (2) Identify dangerous driving behaviors through video images. The dangerous driving behavior includes one or more of the driver using a mobile phone, the driver not wearing a seat belt, the driver fatigue driving, and opening the cargo compartment door.

[0029] (3) Respond to dangerous driving behavior. Ways to respond to dangerous driving behaviors include recording dangerous driving behaviors, warning drivers, and sending dangerous driving behavior information through the network. Specifically, the recording of dangerous driving behavior can be recorded locally; the warning to the d...

Embodiment 2

[0043] This embodiment provides a specific structure of a video recognition-based dangerous driving behavior monitoring device using the method described in Embodiment 1, as figure 2 As shown, it includes GPS module, 4G module, OBD module, power module, switch, IP camera, processor, hard disk, intelligent video analysis algorithm and cloud management module, wherein, GPS module is used to obtain vehicle position information and speed information, The function of this information is to judge whether the vehicle is speeding and record its driving trajectory; the 4G module is used to access the mobile communication network and support uploading data to the cloud management module; the OBD module is used to connect to the OBD interface of the vehicle to obtain Vehicle speed information and vehicle working condition information, including vehicle speed, engine coolant temperature, battery voltage, engine speed, etc. When the GPS signal is weak and the GPS module cannot obtain the s...

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 method for supervising a dangerous driving behavior based on video recognition, which comprises the following steps: collecting a video image; recognizing a dangerous drivingbehavior through the video image; and responding to the dangerous driving behavior. The method for supervising a dangerous driving behavior based on video recognition in the invention adds an intelligent video analysis algorithm on a vehicle-mounted monitoring device to analyze dangerous driving behaviors such as a driver using a mobile phone, not wearing a seat belt, fatigue driving, or unexpected opening of a warehouse door during the driving process of the vehicle, and to respond in manners of recording, giving an alarm or sending the dangerous driving behavior information through a mobilecommunication network, and the like according to an analysis result, thereby facilitating strengthening of the supervision and management of drivers, reduction of the probability of occurrence of traffic accidents, improvement of the driving safety of operating vehicles, and reduction of the operating cost.

Description

technical field [0001] The invention belongs to the technical field of vehicle monitoring, and relates to a method and device for identifying whether a vehicle has dangerous driving behavior, in particular to a method and device for monitoring dangerous driving behavior based on video recognition Background technique [0002] Through remote monitoring of the driving status of operating vehicles, potential dangers in the driving process can be discovered in time, the safety of the vehicle driving process can be improved, and basic data support can be provided for vehicle scheduling, driving route optimization, and full-time driver management. Existing vehicle remote monitoring systems (such as a vehicle remote monitoring system disclosed in Chinese patent 201721002751) usually have the ability to grasp the vehicle's operating conditions in real time through the OBD interface, record information such as location and data through GPS, and obtain video images inside and outside t...

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): G06K9/00G08G1/0967
CPCG08G1/096741G06V20/41G06V20/597
Inventor 李继凯
Owner 北京优创新港科技股份有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com