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A method and system for determining the roof state of a muck truck based on local image classification

A technology of local images and muck trucks, which is applied in the field of determination of the state of the roof of muck trucks, can solve problems such as inability to achieve intuitive visual solutions, real-time performance, and cost maintenance difficulties, and achieve the effect of ensuring accuracy

Active Publication Date: 2021-07-06
上海闪马智能科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] Patent document 3 (CN207304730U) discloses a device for determining the state of the roof of the muck truck by means of video analysis, which uses a depth camera to obtain the depth and then indirectly obtains the state of the roof of the muck truck. This scheme belongs to the indirect method, and the intermediate variable There are many, including higher requirements for the height, angle, and relative position of the camera when passing by the vehicle, and whether the binocular or tof depth scheme is used, the cost is higher than that of ordinary cameras and maintenance is difficult
[0007] Patent Document 4 (CN207304730U) discloses a method for airtight recognition of the roof of a muck truck, but it does not use a visual solution, and cannot achieve the intuitive and real-time advantages of the visual solution

Method used

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  • A method and system for determining the roof state of a muck truck based on local image classification
  • A method and system for determining the roof state of a muck truck based on local image classification
  • A method and system for determining the roof state of a muck truck based on local image classification

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Embodiment 1

[0049] see figure 1 , figure 1 It is a schematic flowchart of a method for determining the roof state of a muck truck based on partial image classification disclosed in the embodiment of the present application. Such as figure 1 As shown, a method for determining the roof state of a muck truck based on partial image classification according to an embodiment of the present application, the method includes:

[0050] The monitoring module acquires real-time monitoring images and transmits them to the joint detection and attribute classification module;

[0051] The joint detection and attribute classification module performs recognition processing on the real-time monitoring image, and outputs the location, category and attribute of the vehicle, wherein the category is a muck truck / non-dump truck, and the attributes include occlusion and orientation information ;

[0052] The adjustment module extracts the area where the roof of the muck truck is located as a partial image of...

Embodiment 2

[0082] see image 3 , image 3 It is a schematic structural diagram of a system for determining the state of a muck truck roof based on partial image classification disclosed in an embodiment of the present application. Such as image 3 As shown, a system for determining the state of a muck truck roof based on partial image classification in the embodiment of the present application corresponds to the method described in Embodiment 1; the system includes a monitoring module, a detection and attribute classification joint Model, adjustment module, 4 classification modules of muck truck;

[0083] The monitoring module is used to obtain real-time monitoring images and transmit them to the joint detection and attribute classification module;

[0084] The joint detection and attribute classification module is used to identify and process the real-time monitoring image, and output the position, category and attribute of the vehicle to the adjustment module, wherein the category i...

Embodiment 3

[0088] see Figure 4 , Figure 4 It is an electronic device disclosed in the embodiment of this application, characterized in that: the device includes:

[0089] a memory storing executable program code;

[0090] a processor coupled to the memory;

[0091] The processor invokes the executable program code stored in the memory to execute the method described in Embodiment 1.

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Abstract

This application provides a method and system for determining the roof state of a muck vehicle based on partial image classification, which belongs to the field of computer vision recognition technology. The method introduces vehicle attributes to assist in determining a more robust vehicle roof area The image can effectively deal with the complex situation of the actual road conditions, especially the situation where the muck trucks block each other, ensuring the accuracy of the subsequent recognition of the roof coverage state.

Description

technical field [0001] The present application relates to the technical field of computer vision recognition, in particular, to a method and system for determining the state of a muck truck roof based on partial image classification. Background technique [0002] In the process of rapid urbanization, high-rise buildings have sprung up like mushrooms after rain. The muck truck is an indispensable tool for urban construction, but the current muck truck still has the situation of not covering the roof in violation of regulations, which leads to the widespread phenomenon of dust and wind erosion, which has become a prominent problem of road dust pollution. In response to the above practical problems, there have been some technical attempts to monitor and identify the opening and closing state of the roof of the muck truck. [0003] The applicant of the present application found after searching the prior art: [0004] Patent Document 1 (CN111401162A) discloses a method for revi...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/46G06K9/62G06N3/04G06N3/08
CPCG06N3/04G06N3/08G06V20/52G06V10/44G06V2201/08G06F18/2415
Inventor 林亦宁赵之健
Owner 上海闪马智能科技有限公司