Dangerous driving behavior recognition method, device and apparatus and storage medium

A dangerous driving and behavior technology, applied in the field of communication, can solve problems such as interfering with the driver's driving, failure to recognize the driver's dangerous driving behavior, and driver's driving behavior specification constraints, so as to achieve the effect of ensuring the safety of drivers and passengers

Inactive Publication Date: 2020-07-14
NANJING LINGXING TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] With the development of Internet technology, online car-hailing services have brought more and more convenience to people's travel, but it is also accompanied by a series of traffic risks and social risks.
At present, the online car-hailing services on the market lack normative constraints on drivers' driving behaviors. In reality, there are situations where drivers have dangerous driving behaviors during driving, such as smoking, distraction, answering and calling, and fatigue. These dangerous driving behaviors will interfere with the driver's driving, fail to guarantee the safety of drivers and passengers, and pose a threat to the health of drivers and passengers
[0003] To sum up, the existing online car-hailing service cannot identify the driver’s dangerous driving behavior, thus failing to guarantee the safety of drivers and passengers.

Method used

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  • Dangerous driving behavior recognition method, device and apparatus and storage medium
  • Dangerous driving behavior recognition method, device and apparatus and storage medium
  • Dangerous driving behavior recognition method, device and apparatus and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0105] When a method for identifying a dangerous driving behavior provided by an embodiment of the present invention is applied to identify smoking behavior, one or more frames of images in the video data are analyzed to determine that the driver has dangerous driving behavior, such as figure 2 As shown, the method includes:

[0106] Step 201, extracting images of a first preset number of frames from the video data.

[0107] In a specific implementation, the first preset number may be set according to an empirical value or an actual scenario, for example, it may be set to 30 under normal circumstances.

[0108] Step 202: Determine whether the driver has smoking behavior in each frame of images.

[0109] In the specific implementation, for each frame of image, a pre-trained face key point model is used to segment the face area from the frame of image, which specifically includes: the position of the face and specific key areas of the face, such as eyebrows, mouth, Eyes, nose...

Embodiment 2

[0120] When a method for identifying dangerous driving behavior provided by the embodiment of the present invention is applied to identify the behavior of making and receiving calls, one or more frames of images in the video data are analyzed to determine that the driver has dangerous driving behavior, such as image 3 As shown, the method includes:

[0121] Step 301: Extract images of a second preset number of frames from the video data.

[0122] In a specific implementation, the first preset number may be set according to an empirical value or an actual scenario, for example, it may be set to 30 under normal circumstances.

[0123] Step 302: Determine whether the driver has a behavior of making and receiving calls in each frame of images.

[0124] In the specific implementation, for each frame of image, a pre-trained face key point model is used to segment the face area from the frame of image, which specifically includes: the position of the face and specific key areas of ...

Embodiment 3

[0136] When a method for identifying a dangerous driving behavior provided by an embodiment of the present invention is applied to identify fatigue driving behavior, one or more frames of images in the video data are analyzed to determine that the driver has dangerous driving behavior, such as Figure 4 As shown, the method includes:

[0137] Step 401 , extract any frame of image from the video data, and determine the sixth probability that the driver has fatigue driving behavior in the frame of image.

[0138] In the specific implementation, for each frame of image, a pre-trained face key point model is used to segment the face area from the frame of image, which specifically includes: the position of the face and specific key areas of the face, such as eyebrows, mouth, Eyes, nose, facial contours, etc.

[0139] The pre-trained mouth shape recognition model is used to analyze the mouth shape, including the judgment of closed mouth and open mouth, and determine the probabilit...

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Abstract

The embodiment of the invention provides a dangerous driving behavior recognition method, device and apparatus and a storage medium, and is used for recognizing dangerous driving behaviors of a driverand guaranteeing the safety of drivers and passengers. The dangerous driving behavior identification method is applied to an intelligent sensing terminal in an online car-hailing system, the online car-hailing system further comprises a video recording module and a server which are connected with the intelligent sensing terminal, and the method further comprises: acquiring video data which are acquired by the video recording module and comprise a driver; and analyzing one or more frames of image data in the video data, determining that the driver has a dangerous driving behavior, and sendinga notification message to a server.

Description

technical field [0001] The present invention relates to the field of communication technologies, and in particular, to a method, device, device and storage medium for identifying dangerous driving behaviors. Background technique [0002] With the development of Internet technology, online car-hailing services have brought more and more convenience to people's travel, but they are also accompanied by a series of traffic risks and social risks. The current online car-hailing services on the market lack the normative constraints on drivers' driving behavior. In reality, there are situations where drivers have dangerous driving behaviors during driving, such as smoking, distraction, making phone calls, and fatigue. These dangerous driving behaviors will interfere with the driver's driving of the vehicle, cannot guarantee the safety of the driver and passenger, and pose a threat to the health of the driver and his passengers. [0003] To sum up, the existing online car-hailing s...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06N3/08
CPCG06N3/08G06V40/172G06V40/161G06V40/168G06V20/41G06V20/597
Inventor 王博左凯王小刚
Owner NANJING LINGXING TECH CO LTD
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