Automobile fluid residual detection method

A detection method and liquid technology, applied in image analysis, instruments, calculations, etc., can solve the problem of inconvenient reading of values, and achieve the effect of good quantification effect and convenient image.

Active Publication Date: 2019-04-05
大连波塞冬汽车电子科技有限公司
View PDF9 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

There is no related technology that can directly give relevant values ​​and is not affected by the environment. For example, it is inconvenient to read values ​​at night

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
  • Automobile fluid residual detection method
  • Automobile fluid residual detection method
  • Automobile fluid residual detection method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0026] A method for detecting the liquid level of an automobile, which has the step of detecting the oil dipstick in the recorded image, including: S1. The background image B without the oil dipstick and the image with the oil dipstick and the oil dipstick in the current scene are captured by the camera Image F; S2. Perform background difference target detection on the oil dipstick in the image to obtain the coordinates of the oil dipstick in the scene image. The coordinates reflect the position information of the oil dipstick. After obtaining the position information, the oil dipstick can be found in the image F obtained in step S1, and then the position of the oil remaining relative to the oil dipstick is detected.

Embodiment 2

[0028] It has the same technical solution as that of Embodiment 1, more specifically: in step S2, in the detection step, in addition to obtaining the coordinates of the oil dipstick in the scene image, the swing position of the oil dipstick in the scene image is also obtained. information on how to play. The placement information can be acquired through neural network classification learning.

Embodiment 3

[0030] It has the same technical solution as Embodiment 1 or 2, more specifically: the method for background difference target detection described in step S2 is specifically: separate the background frame from the R, G, and B channels of the current frame, and the corresponding components Perform differential calculation, perform threshold binarization processing on the differential value, obtain the differential map of each channel, and then recombine the three-channel images to obtain the result, the result is the coordinates and / or placement of the oil dipstick in the scene image, and the obtained The above results were calculated using the following formula:

[0031] D. i (x,y)=F i (x,y)-B i (x,y) (1)

[0032]

[0033] Where: i = R, G, B; F i (x, y) is the image of the i-th channel separated from the foreground image F(x, y); B i (x, y) is the image of the i-th channel separated from the background image B(x, y); D i (x, y) is the differential image of the i-th ch...

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 vehicle liquid residual capacity detection method, which belongs to the field of vehicle detection and is used for solving the problem that existing vehicle related liquid level detection is only performed by manually estimating a numerical value by virtue of a ruler. The technical key point is that the method comprises a step of detecting a dipstick in a shot image. The step of detecting the dipstick in the shot image comprises: S1, performing shooting by a video camera to obtain a background image without the dipstick and an image with the dipstick in a current scene; and S2, performing background difference target detection on the dipstick in the image to obtain coordinates of the dipstick in the scene image. The method has the effects that the scale of the vehicle liquid ruler still has a very good identification effect under the condition that the vision of a user is poor or the illumination condition is adverse.

Description

technical field [0001] The invention belongs to the field of automobile detection, and in particular relates to a method for detecting the residual amount of automobile liquid. Background technique [0002] To keep a car in good running condition, it needs to pay more attention to detailed observation and maintenance. Existing technologies for car maintenance are still tending to be artificial. For the liquid level detection of vehicle brake oil, engine oil, brake fluid, windshield washer fluid, water tank, power steering oil, antifreeze, etc., it only stays at manual estimation with the help of a scale. stage. There is no related technology that can directly give relevant values ​​without being affected by the environment, for example, it is inconvenient to read the values ​​at night. Contents of the invention [0003] In order to solve the problems of the technologies described above, the technical solution used in the present invention is: [0004] A method for detec...

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 Patents(China)
IPC IPC(8): G06T7/00G06T7/194
CPCG06T7/0002
Inventor 田雨农张冠男周秀田于维双陆振波
Owner 大连波塞冬汽车电子科技有限公司
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