CN110910355A - Package blocking detection method and device and computer storage medium - Google Patents
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Abstract
The application provides a package blocking detection method and device and a computer storage medium. The package blocking detection method comprises the following steps: acquiring a video image of a multi-frame wrapping area; acquiring the track motion state of a wrapping area and the area of a static wrapping in the wrapping area according to the multi-frame video image; and if the track motion state of the wrapping area is a pause state and the pause wrapping area in the wrapping area meets the preset requirement, outputting alarm information. The package blocking detection method can realize detection through video image detection, and is low in cost and wide in coverage range.
Description
Technical Field
The application relates to the technical field of logistics transmission processing, in particular to a package blocking detection method and device and a computer storage medium.
Background
The logistics industry is at the transfer site, and the express delivery parcel that collects from the user can be put on the transportation conveyer belt and be transmitted to the appointed area after artifical the choosing. In the transportation process, especially, the condition that the parcel is blocked easily appears at the turning of transportation conveyer belt, leads to subsequent parcel jam in the turning, influences normal transmission work.
Disclosure of Invention
The application provides a package blocking detection method and device and a computer storage medium, and mainly solves the technical problem of how to realize package blocking detection under the condition of not changing a conveying belt structure.
In order to solve the technical problem, the application provides a package blocking detection method, which comprises the following steps:
acquiring a video image of a multi-frame wrapping area;
acquiring the track motion state of the wrapping area and the area of a static wrapping in the wrapping area according to the multi-frame video image;
and if the track motion state of the wrapping area is a pause state and the pause wrapping area in the wrapping area meets the preset requirement, outputting alarm information.
Wherein the step of obtaining a plurality of frames of video images of the parcel area comprises:
setting a package blockage detection area, and acquiring a plurality of frames of video images of the package blockage detection area;
and identifying a parcel area in the parcel jam detection area by adopting a segmentation technology so as to obtain a plurality of frames of video images of the parcel area.
Wherein, the step of obtaining the track motion state of the wrapping area according to the plurality of frames of video images comprises:
calculating an optical flow motion vector of the wrapping area according to a plurality of frames of continuous video images;
and forming a track motion state of the wrapping area according to the optical flow motion vector.
Wherein, the step of obtaining the track motion state of the wrapping area according to the plurality of frames of video images comprises:
calculating the position change condition of a wrapping area in a plurality of continuous video images by adopting an interframe difference method;
and forming a track motion state of the wrapping area according to the position change condition.
The step of acquiring the area of the pause parcel in the parcel area according to the plurality of frames of video images comprises the following steps:
acquiring the area of the video image and the area of the pause package in the package area;
calculating the ratio of the area of the pause parcel in the parcel region to the area of the video image;
the step of meeting the preset requirement on the area of the pause packages in the package area comprises the following steps:
and if the occupation ratio of the pause packages in the package area is greater than a preset occupation ratio, the preset requirement is met.
Wherein, if the orbit motion state in parcel region is pause state, just the area of pause parcel satisfies the requirement of predetermineeing in the parcel region, the step of output alarm information includes:
and if the track motion state of the wrapping area is a static state and the proportion value of the static wrapping in the wrapping area is larger than the preset proportion value, outputting alarm information.
Wherein the step of obtaining the area of the pause parcel in the parcel area comprises:
obtaining the position of each parcel in each video image by adopting a semantic segmentation technology;
and filtering the packages which normally move according to the position change condition of the same package in the multi-frame continuous video images, thereby calculating the area of the pause packages in the package area.
Wherein, the step of outputting alarm information includes:
and stopping the work of the conveyor belt, and carrying out sound-light alarm to prompt the attention of an operator.
In order to solve the above technical problem, the present application further provides a package blocking detection apparatus, which includes a memory and a processor coupled to the memory;
wherein the memory is configured to store a computer program and the processor is configured to execute the computer program to implement the steps of the package jam detection method as described above.
To solve the above technical problem, the present application further provides a computer storage medium for storing program data, which when executed by a processor, is used to implement the steps of the above package blocking detection method.
Compared with the prior art, the beneficial effects of this application are: a package blocking detection device acquires a video image of a multi-frame package area; acquiring the track motion state of the wrapping area and the area of the pause wrapping in the wrapping area according to the multi-frame video image; and if the track motion state of the wrapping area is a pause state and the area of the static wrapping in the wrapping area meets the preset requirement, outputting alarm information. The package blocking detection method realizes the detection of the package blocking condition through video image recognition, does not influence the integral structure of a conveying conveyor belt, and is low in cost.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts. Wherein:
FIG. 1 is a schematic flow chart diagram of a first embodiment of a package jam detection method provided herein;
FIG. 2 is a schematic flow chart diagram of a second embodiment of a package jam detection method provided herein;
FIG. 3 is a schematic flow chart diagram of a third embodiment of a package jam detection method provided herein;
FIG. 4 is a schematic flow chart diagram of a fourth embodiment of a package jam detection method provided by the present application;
fig. 5 is a schematic flow chart of a fifth embodiment of the package jam detection method provided by the present application.
FIG. 6 is a schematic diagram of an embodiment of a package jam detection device provided herein;
FIG. 7 is a schematic structural view of another embodiment of a package jam detection device provided herein;
FIG. 8 is a schematic structural diagram of an embodiment of a computer storage medium provided in the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
In the current transportation industry, logistics companies generally adopt a transportation conveyor belt as a tool for package transportation, wherein the transportation conveyor belt is a composite product of rubber, fiber and metal or a composite product of plastic and fabric, which is used in a belt conveyor belt and plays a role in carrying and transporting materials. To improve the efficiency of use of the transport conveyor and to take into account the field environment, workers typically set the transport conveyor long enough and with multiple turns so that the transport conveyor can transport the packages to their destination. During the transportation process, due to the size, volume, weight, etc. of the parcels, some of the parcels may jam at the turn of the transport conveyor. For workers, when the transportation conveying belt is observed to be blocked, the positions of the transportation conveying belt which are possibly blocked are checked and processed, a large amount of manpower and time are needed, and the transportation efficiency is seriously influenced.
In order to solve the problems, the application provides a package blocking detection method, and intelligent technologies such as image detection and the like are adopted to detect and investigate the package blocking condition of a conveying conveyor belt. Referring to fig. 1, fig. 1 is a schematic flow chart of a first embodiment of a parcel jam detection method provided in the present application. The package blocking detection method is applied to a package blocking detection device, and can be terminal equipment such as a smart phone, a tablet personal computer, a notebook computer, a computer or wearable equipment, and can also be a logistics conveyor. In the following description of the embodiments, the description of the package jam detection method is collectively performed using the detection device.
As shown in fig. 1, the method for detecting package blocking in this embodiment specifically includes the following steps:
s101: and acquiring a video image of the multi-frame wrapping area.
The detection device can be in communication connection with an external camera device, the camera device collects and records the package area on the conveying conveyor belt in real time, and the collected information is used as source data required by the package blocking detection method, namely video images of the multi-frame package area are sent to the detection device.
In addition, the detection device can also be accessed to an external storage device, and the external storage device can be a mobile hard disk, a floppy disk drive, a U disk or an optical disk drive and the like; the monitoring video about the parcel area on the conveying conveyor belt is stored in the external storage device, and then the detection device can directly acquire the monitoring video about the parcel area from the external storage device and divide the monitoring video into multi-frame video images.
Through the two modes, the detection device obtains the video images of the multi-frame wrapping areas. Further, in an embodiment of the present application, referring to fig. 2, a method for acquiring a video image of a multi-frame parcel area by a detection device includes the following steps:
s201: and setting a package blockage detection area, and acquiring a video image of a multi-frame package blockage detection area.
The detection device is used for detecting the package jam, wherein the detection device does not determine which areas on the conveying conveyor belt are required detection areas in the package jam detection process, so the detection device presets the package jam detection areas through control instructions input by a user. The preset package jam detection area can obtain a conveying belt area with higher probability of jam occurrence in the conveying belt, for example, a turning area of the conveying belt according to manual experience or historical data.
Specifically, the detection device acquires the video image of the multi-frame package blocking detection area in the manner of acquiring the video image.
S202: and identifying a parcel area in the parcel jam detection area by adopting a segmentation technology so as to obtain a plurality of frames of video images of the parcel area.
The detection device adopts a semantic segmentation technology to identify the parcel area in the parcel blocking detection area, namely, the parcel image in the video image of the parcel blocking detection area is screened out through a label or an identification frame and the like.
Specifically, the detection device can automatically segment and identify the content in the video image through a semantic segmentation technology, for example, distinguishing a transport conveyor belt and a package in the video image. To realize the above steps, the detecting device inputs a large amount of information related to the package, such as the size, volume, shape and the like of the package, into the neural network in advance, and the detecting device performs deep neural network training according to the information, so as to train a training model capable of directly distinguishing the package. The detection device identifies the parcel images in the video images according to the training model.
Further, the detection device marks all the parcel images in the video image, and the area where all the marked parcel images are located is defined as a parcel area.
S102: and acquiring the track motion state of the wrapping area and the area of the static wrapping in the wrapping area according to the multi-frame video image.
On one hand, the detection device acquires the track motion state of the wrapping area according to the video images of the multi-frame wrapping area, and the method for calculating the track motion state of the moving target includes but is not limited to one of the following methods: optical flow field method, interframe difference method and background subtraction method. In other embodiments, the detection device may also specifically acquire the track motion state of each parcel, and record the motion track of each parcel.
For example, in an embodiment of the present application, the detection device may calculate the trajectory movement state of the parcel region by using an optical flow field method. Please refer to the steps in fig. 3:
s301: and calculating the optical flow motion vector of the wrapping area according to the plurality of frames of continuous video images.
S302: and forming a track motion state of the wrapping area according to the optical flow motion vector.
The Optical Flow field (Optical Flow) is an instantaneous velocity field used for representing the gray value of a pixel point in an image to generate a variable trend. In the real world, the motion of a target is usually represented by the respective change of the gray levels of each pixel point in a multi-frame video image.
Specifically, the detection device first calculates a motion vector of each pixel point in the video image, i.e., establishes an optical flow field of the entire video image. If the scene has no moving object, the motion vectors of all pixel points in the video image should be continuously changed; if a moving object exists in the scene, because relative motion exists between the object and the background, the motion vector of the position of the object is different from the motion vector of the neighborhood, and therefore the moving object is detected.
In the above-described calculation method, the detection device may calculate the optical flow motion vector of the wrapped area and the optical flow motion vector of the non-wrapped area, compare the optical flow motion vector of the wrapped area and the optical flow motion vector of the non-wrapped area, and obtain the trajectory motion state of the wrapped area from a difference between the optical flow motion vector of the wrapped area and the optical flow motion vector of the non-wrapped area.
For another example, in another embodiment of the present application, the detecting device may also calculate the track motion state of the parcel area by using an inter-frame difference method, specifically refer to the steps in fig. 4:
s401: and calculating the position change condition of the wrapping area in the multi-frame continuous video images by adopting an inter-frame difference method.
S402: and forming a track motion state of the wrapping area according to the position change condition.
The video sequence collected by the camera module has the characteristic of continuity. If no moving object exists in the scene, the change of the continuous frames is weak; if there are moving objects within the scene, there will be significant variation from frame to frame.
Specifically, since the object in the scene is moving, the position of the object's imagery in different image frames is different. Therefore, the detection device adopts an interframe difference method to perform difference operation on two or three continuous frames of video images, and pixel points corresponding to different frames are subtracted to judge the absolute value of the gray difference. When the absolute value exceeds a certain threshold value, the target can be judged to be a moving target, and therefore the target detection function is achieved.
In this embodiment, the detection apparatus compares the video images of consecutive frames by using an inter-frame difference method, so as to obtain a position change condition of a wrapping area in the video image, and fits a track motion state of the wrapping area according to a video frame time sequence.
Further, the detection device may calculate the position change condition of the parcel region by using the optical flow field method and the interframe difference method in the above two embodiments. The detection device can calculate the motion trajectory data of the two groups of wrapping areas according to the calculation methods of the two embodiments, then fit the motion trajectory data of the two groups of wrapping areas to obtain the final motion trajectory of the wrapping areas, and further judge the trajectory motion state of the wrapping areas. Therefore, the detection device can calculate the motion track by integrating the optical flow field method and the interframe difference method, and the robustness of the algorithm is improved.
On the other hand, the detection device acquires the area of the static parcel in the parcel area according to the multi-frame video image. Specifically, the detection apparatus may also obtain the position of each parcel in each video image by using the semantic segmentation technique in S202; and then filtering the packages which normally move according to the position change condition of the same package in the multi-frame continuous video images, thereby calculating the area of the static packages in the package area. A normally moving parcel, i.e. appearing to change position continuously over a plurality of successive video images.
S103: and if the track motion state of the wrapping area is a pause state and the pause wrapping area in the wrapping area meets the preset requirement, outputting alarm information.
The detection device judges whether the track motion state of the wrapping area is a pause state or not, and whether the pause wrapping area in the wrapping area meets the preset requirement or not, and the condition that whether the wrapping is blocked in the conveying conveyor belt or not is obtained according to the judgment result.
The pause state of the application is defined as: and the slow movement state is that the movement speed of the stop parcel on the transport conveyor belt is less than the movement speed of the transport conveyor belt.
For example, in an embodiment of the present application, the detecting device may calculate a ratio of the stop packages in the package area, and compare the ratio with a preset ratio to determine whether the preset requirement is met. Please refer to the steps in fig. 5:
s501: the area of the video image is obtained, and the area of the pause parcel in the parcel area is obtained.
S502: and calculating the ratio of the area of the pause parcel to the area of the video image in the parcel area.
S503: and if the occupation ratio of the pause packages in the package area is greater than the preset occupation ratio, the preset requirement is met.
For another example, the detection device may also calculate an area occupied by the pause packages in the package area, and if the area occupied by the pause packages is greater than a preset area, it is determined that the preset requirement is met.
The detection device can comprehensively analyze the track motion state of the parcel area and the area condition of the pause parcel, and judge the condition of parcel blockage in the conveying conveyor belt. For example, when the track motion state of the parcel area is a pause state and the proportion value of pause parcels in the parcel area is greater than a preset proportion value, the detection device outputs alarm information.
Further, when the moving speed of the parcel on the transport conveyor is 0, the parcel is in a stationary state. The detection device can also comprehensively analyze the track motion state of the parcel area and the area condition of the stationary parcels, and judge the condition of parcel blockage in the conveying conveyor belt. For example, when the track motion state of the parcel area is a static state and the proportion value of the static parcels in the parcel area is greater than the preset proportion value, the detection device outputs alarm information.
At the moment, the detection device can stop the work of the conveyor belt and give an audible and visual alarm to prompt the attention of an operator. After the early warning is generated, the detection device can also output field video images for workers to perform manual secondary confirmation and processing, so that the package blocking detection process is more visual and efficient.
In the embodiment, the package blocking detection device acquires a video image of a multi-frame package area; acquiring the track motion state of the wrapping area and the area of the pause wrapping in the wrapping area according to the multi-frame video image; and if the track motion state of the wrapping area is a pause state and the pause wrapping area in the wrapping area meets the preset requirement, outputting alarm information. The package blocking detection method realizes the detection of the package blocking condition through video image recognition, does not influence the integral structure of a conveying conveyor belt, and is low in cost.
In order to implement the parcel jam detection method according to the above embodiment, the present application further provides a parcel jam detection device, and specifically refer to fig. 6, where fig. 6 is a schematic structural diagram of an embodiment of the parcel jam detection device according to the present application.
The package jam detecting device 600 of the present embodiment includes an acquiring module 61, an identifying module 62, and a judging module 63.
The acquiring module 61 is configured to acquire a video image of a multi-frame parcel area.
And the identification module 62 is configured to obtain a track motion state of the parcel area according to the multiple frames of video images, and obtain an area of a stationary parcel in the parcel area.
And the judging module 63 is configured to output alarm information if the track motion state of the wrapping area is a static state and the area of the static wrapping in the wrapping area meets a preset requirement.
In order to implement the parcel jam detection method according to the above embodiment, the present application further provides another parcel jam detection apparatus, and specifically refer to fig. 7, and fig. 7 is a schematic structural diagram of another embodiment of the parcel jam detection apparatus according to the present application.
The package jam detection device 700 of the present embodiment includes a memory 71 and a processor 72, wherein the memory 71 and the processor 72 are coupled.
The memory 71 is used for storing program data, and the processor 2 is used for executing the program data to realize the package jam detection method of the above embodiment.
In the present embodiment, the processor 72 may also be referred to as a CPU (Central Processing Unit). The processor 72 may be an integrated circuit chip having signal processing capabilities. The processor 72 may also be a general purpose processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf programmable gate array (FPGA) or other programmable logic device, discrete gate or transistor logic, discrete hardware components. A general purpose processor may be a microprocessor or the processor 72 may be any conventional processor or the like.
The present application also provides a computer storage medium, as shown in fig. 8, a computer storage medium 800 is used for storing program data 81, and the program data 81 is used for implementing the method as described in the embodiment of the package blocking detection method of the present application when being executed by a processor.
The method involved in the embodiments of the package jam detection method of the present application, when implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a device, such as a computer readable storage medium. Based on such understanding, the technical solution of the present application may be substantially implemented or contributed by the prior art, or all or part of the technical solution may be embodied in a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) or a processor (processor) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The above description is only for the purpose of illustrating embodiments of the present application and is not intended to limit the scope of the present application, and all modifications of equivalent structures and equivalent processes, which are made by the contents of the specification and the drawings of the present application or are directly or indirectly applied to other related technical fields, are also included in the scope of the present application.
Claims (10)
1. A parcel jam detection method, characterized in that it comprises:
acquiring a video image of a multi-frame wrapping area;
acquiring the track motion state of the wrapping area and the area of a static wrapping in the wrapping area according to the multi-frame video image;
and if the track motion state of the wrapping area is a pause state and the pause wrapping area in the wrapping area meets the preset requirement, outputting alarm information.
2. The package jam detecting method according to claim 1,
the step of acquiring a plurality of frames of video images of the parcel region comprises:
setting a package blockage detection area, and acquiring a plurality of frames of video images of the package blockage detection area;
and identifying a parcel area in the parcel jam detection area by adopting a segmentation technology so as to obtain a plurality of frames of video images of the parcel area.
3. The package jam detecting method according to claim 1,
the step of acquiring the track motion state of the wrapping area according to the plurality of frames of video images comprises the following steps:
calculating an optical flow motion vector of the wrapping area according to a plurality of frames of continuous video images;
and forming a track motion state of the wrapping area according to the optical flow motion vector.
4. The package jam detecting method according to claim 1,
the step of acquiring the track motion state of the wrapping area according to the plurality of frames of video images comprises the following steps:
calculating the position change condition of a wrapping area in a plurality of continuous video images by adopting an interframe difference method;
and forming a track motion state of the wrapping area according to the position change condition.
5. The package jam detecting method according to claim 1,
the step of obtaining the area of the pause parcel in the parcel area according to the plurality of frames of video images comprises the following steps:
acquiring the area of the video image and the area of the pause package in the package area;
calculating the ratio of the area of the pause parcel in the parcel region to the area of the video image;
the step of meeting the preset requirement on the area of the pause packages in the package area comprises the following steps:
and if the occupation ratio of the pause packages in the package area is greater than a preset occupation ratio, the preset requirement is met.
6. The package jam detecting method according to claim 5,
if the track motion state of the wrapping area is a pause state, and the area of pause wrapping in the wrapping area meets the preset requirement, outputting alarm information, comprising the following steps of:
and if the track motion state of the wrapping area is a static state and the proportion value of the static wrapping in the wrapping area is larger than the preset proportion value, outputting alarm information.
7. The package jam detecting method according to claim 1,
the step of obtaining the area of the pause package in the package area comprises the following steps:
obtaining the position of each parcel in each video image by adopting a semantic segmentation technology;
and filtering the packages which normally move according to the position change condition of the same package in the multi-frame continuous video images, thereby calculating the area of the pause packages in the package area.
8. The package jam detecting method according to claim 1,
the step of outputting alarm information comprises:
and stopping the work of the conveyor belt, and carrying out sound-light alarm to prompt the attention of an operator.
9. A package jam detection device, characterized in that the device comprises a memory and a processor coupled to the memory;
wherein the memory is configured to store a computer program for execution by the processor to perform the steps of the parcel jam detection method according to any one of claims 1 to 8.
10. A computer storage medium for storing program data for implementing the steps of the package jam detection method according to any one of claims 1 to 8 when executed by a processor.
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| CN111921880A (en) * | 2020-08-10 | 2020-11-13 | 南华大学 | Sorting line package blockage detection device, method and medium |
| CN112001963A (en) * | 2020-07-31 | 2020-11-27 | 浙江大华技术股份有限公司 | Fire fighting channel investigation method, system and computer equipment |
| CN112001890A (en) * | 2020-07-23 | 2020-11-27 | 浙江大华技术股份有限公司 | Method for detecting blockage of transmission line and related device and equipment |
| CN113194308A (en) * | 2021-05-24 | 2021-07-30 | 浙江大华技术股份有限公司 | Method and device for determining blocked area of transmission equipment |
| CN113651061A (en) * | 2021-08-18 | 2021-11-16 | 上海德启信息科技有限公司 | Monitoring method and monitoring system for logistics circulation state |
| CN114198146A (en) * | 2021-10-25 | 2022-03-18 | 北京天玛智控科技股份有限公司 | Method and device for determining blockage abnormity at coal mine working face reversed loader |
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