Image detection method for detecting foreign matter at bottom of vehicle

An image detection and foreign object technology, applied in image analysis, image data processing, instruments, etc., can solve the problems of low accuracy rate of vehicle bottom foreign object identification method, long time-consuming for vehicle bottom foreign object identification and judgment, complex detection system structure, etc. Eliminate the interference of manual operation and environmental changes, the effect of fast calculation and high matching accuracy

Active Publication Date: 2014-08-13
CHENGDU XIWU SECURITY SYST ALLIANCE
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The technologies of the above two patents are applied in the detection of foreign objects under the vehicle. The defects of the entire detection process of foreign objects under the vehicle are as follows: 1. The structure of the entire detection system is complicated, and there are many detection steps, which makes the identification and judgment of foreign objects under the vehicle time-consuming. Longer, 2. The accuracy of the foreign object recognition method under the vehicle is low in practical applications, and false detection or missed detection often occurs, posing safety hazards

Method used

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  • Image detection method for detecting foreign matter at bottom of vehicle
  • Image detection method for detecting foreign matter at bottom of vehicle
  • Image detection method for detecting foreign matter at bottom of vehicle

Examples

Experimental program
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Embodiment 1

[0047] An image detection method for detecting foreign matter under a vehicle, comprising the following steps in sequence:

[0048] Image input: input the vehicle chassis image I to be detected and the vehicle chassis template image R without foreign objects into the system host;

[0049] Image registration: Obtain matching feature points from the vehicle chassis image I to be detected that match the vehicle chassis template image R without foreign objects; after obtaining the matching feature points, divide the two images horizontally into N according to the content of the two images Area, N is greater than or equal to 2; calculate the parameters of the affine transformation between the two images according to the matched feature points in each area, and obtain the vehicle chassis image I to be detected after correction by N areas; finally, pass through N areas After the corrected vehicle chassis image I to be detected is registered with the vehicle chassis template image R w...

Embodiment 2

[0062] An image detection method for detecting foreign matter under a vehicle, comprising the following steps in sequence:

[0063] Image input: input the vehicle chassis image I to be detected and the vehicle chassis template image R without foreign objects into the system host;

[0064] Image registration: Obtain matching feature points from the vehicle chassis image I to be detected that match the vehicle chassis template image R without foreign objects; after obtaining the matching feature points, divide the two images horizontally into N according to the content of the two images Area, N is greater than or equal to 2; calculate the parameters of the affine transformation between the two images according to the matched feature points in each area, and obtain the vehicle chassis image I to be detected after correction by N areas; finally, pass through N areas After the corrected vehicle chassis image I to be detected is registered with the vehicle chassis template image R w...

Embodiment 3

[0076] An image detection method for detecting foreign matter under a vehicle, comprising the following steps in sequence:

[0077] Image input: input the vehicle chassis image I to be detected and the vehicle chassis template image R without foreign objects into the system host;

[0078] Image registration: Obtain matching feature points from the vehicle chassis image I to be detected that match the vehicle chassis template image R without foreign objects; after obtaining the matching feature points, divide the two images horizontally into N according to the content of the two images Area, N is greater than or equal to 2; calculate the parameters of the affine transformation between the two images according to the matching feature points in each area, and obtain the vehicle chassis image I to be detected after being corrected by N areas; finally, pass through N areas After the corrected vehicle chassis image I to be detected is registered with the vehicle chassis template ima...

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Abstract

The invention relates to an image detection method for detecting foreign matter at the bottom of a vehicle. The method sequentially includes the following steps of image input, image registration, binary image acquisition and foreign matter detection. The method can be used for fast recognizing whether the bottom of the vehicle going in or out of a barrier gate carries foreign matter or not, a vehicle chassis image provided by a vehicle chassis imaging system is subjected to signal analysis and processing, a real-time reliable foreign matter detection method is provided for detection of the chassis of the vehicle, and therefore the foreign matter at the bottom of the chassis of the vehicle can be fast, accurately and efficiently detected, the detecting accuracy is improved, interference of manual operation and environment changes is eradicated, and the requirement for real-time detection of the bottom of the vehicle in the security and prevention market in China is met. The time needed for recognition is no longer than five seconds, and the recognition efficiency is high.

Description

technical field [0001] The invention relates to a vehicle bottom foreign object detection technology, which belongs to the field of vehicle security inspection; in particular, an image detection method for detecting vehicle bottom foreign objects. Background technique [0002] Whenever, safety issue is one of the issues that people attach great importance to. In order to ensure that the chassis of the vehicle does not carry dangerous goods into and out of important gates, it is necessary to conduct a safety inspection of the bottom of the vehicle. Existing vehicle chassis security inspection methods mainly include hand-held vehicle chassis security inspection devices and vehicle chassis safety monitoring devices based on machine vision. The former uses mirrors, LED light components, etc. to check the local area of ​​the vehicle chassis, but due to human fatigue, light, environment and other reasons, the detection results cannot be accurately detected; the latter usually sca...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06K9/46G06T7/00
Inventor 吴清乐
Owner CHENGDU XIWU SECURITY SYST ALLIANCE
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