CN111597863B - Loading and unloading rate determining method, system, equipment and storage medium - Google Patents
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Abstract
The application relates to a loading and unloading rate determining method, a loading and unloading rate determining system, loading and unloading rate determining equipment and a storage medium, which are characterized by comprising the following steps: acquiring video information in a loading and unloading range; intercepting a time ordered single loading and unloading feature image group from the video information by setting a similarity threshold of adjacent feature image frames; setting a standard image comparison group corresponding to the cargo rate level; screening standard images matched with the characteristic images in the standard image comparison group to obtain a matched standard image group matched with the characteristic image group, and generating a corresponding cargo rate grade arrangement group according to the matched standard image group; screening out cargo rate grade arrangement groups with ductile arrangement sequences; and calculating loading and unloading rate according to the screened cargo rate grade arrangement group, the carriage volume and the time parameter of the video information. The application can realize automatic statistics of loading and unloading rate of loading areas, and the statistical method is simple, saves calculation resources and has high fault tolerance rate.
Description
Technical Field
The present application relates to the field of image processing technologies, and in particular, to a method, a system, an apparatus, and a storage medium for determining a loading and unloading rate.
Background
With the development of the logistics industry, the concentrated integration and then the concentrated distribution of goods become an indispensable process for improving the transportation efficiency. The goods are integrated in a centralized way, namely, the transfer is performed, the task amount of each transfer is different, so that the loading and unloading rate of each transfer is required to be obtained, and then the transfer is allocated and deployed according to the loading and unloading rate and the task amount required to be transferred. In order to improve the efficiency of the handling rate recognition of the handling port, it is first necessary to understand the handling condition of the handling port. In particular the time of loading and unloading and the amount of cargo loaded and unloaded can be used to directly evaluate the loading and unloading rate.
The current method mainly comprises two steps: the first method is to directly adopt a manual monitoring method, monitor personnel to observe and acquire the loading and unloading rate at each moment of loading and unloading by naked eyes, and record; the second method is to directly calculate the cargo amount and record the loading and unloading rate through quantitative calculation;
both of these methods have certain drawbacks: in the first method, professionals are used for monitoring, a detection post is added, so that continuous investment is increased, and the workload of loading personnel or monitoring personnel is increased. Because subjective judgment of a person is added, certain errors exist (for example, the person does not notice the distinction of various vehicles, and certain errors exist). And because of the huge number of loading and unloading ports, the distribution of personnel is a considerable problem; for the second method, the depth estimation has serious accuracy problem because the depth image needs to be acquired and analyzed for quantitative volume measurement, and the second method has high equipment cost and weak universality for different scenes. Third, there is currently no complete system for detection and timing statistics in the industry to count and analyze data.
Disclosure of Invention
In order to solve the above-mentioned problems, an object of the present application is to provide a loading/unloading rate determining method, system, device and storage medium.
According to an aspect of the present application, there is provided a loading and unloading rate determining method including:
acquiring video information in a loading and unloading range;
intercepting a time ordered single loading and unloading feature image group from the video information by setting a similarity threshold of adjacent feature image frames;
setting a standard image comparison group corresponding to the cargo rate level;
screening standard images matched with the characteristic images in the standard image comparison group to obtain a matched standard image group matched with the characteristic image group, and generating a corresponding cargo rate grade arrangement group according to the matched standard image group;
screening out cargo rate grade arrangement groups with ductile arrangement sequences;
and calculating loading and unloading rate according to the screened cargo rate grade arrangement group, the carriage volume and the time parameter of the video information.
Further, setting the standard image comparison group corresponding to the cargo rate level includes:
setting standard images corresponding to the cargo rate grades of the carriages one by one to obtain a standard image comparison group;
setting an arrangement mode of the cargo rate level from high to low as an unloading mode;
the low to high cargo rate arrangement is set to the loading mode.
Further, the screening the cargo rate rank order group with rank order having ductility includes:
determining whether the cargo rate ranking group follows low-to-high or high-to-low:
if yes, judging that the cargo rate rank array has the ductility and storing the cargo rate rank array with the ductility;
and if not, judging that the cargo rate rank group does not have the ductility and deleting the cargo rate rank group which does not have the ductility.
Further, calculating the loading and unloading rate according to the selected cargo rate rank group, the carriage volume and the time parameter of the video information comprises:
acquiring video information duration;
acquiring a carriage volume parameter;
acquiring all cargo rate level arrangement groups and calculating the cargo rate difference of the cargo rate level arrangement groups;
taking the product of the cargo rate difference and the carriage volume parameter as a single loading and unloading amount;
calculating the sum of the single loading and unloading amounts to obtain total loading and unloading amount;
the quotient of the total load and the duration of the video information is taken as the load and unload rate.
According to another aspect of the present application, there is provided a loading and unloading rate determining system including:
the video acquisition unit is configured to acquire video information in a loading and unloading range;
an image capturing unit configured to capture a time-ordered single-pass loaded feature image group from the video information by setting a similarity threshold of adjacent feature image frames;
a standard setting unit configured to set a standard image comparison group corresponding to the cargo rate level;
the standard matching unit is configured to screen standard images matched with the characteristic images in the standard image comparison group to obtain a matched standard image group matched with the characteristic image group, and generate a corresponding cargo rate rank arrangement group according to the matched standard image group;
a standard screening unit configured to screen out a cargo rate rank array group having a rank order with a forward ductility;
and the numerical calculation unit is configured to calculate the loading and unloading rate according to the screened cargo rate grade arrangement group, the carriage volume and the time parameter of the video information.
Further, the standard setting unit includes:
the image setting module is configured to set standard images corresponding to the cargo rate grades of the carriages one by one and order the standard images according to the grades;
the unloading setting module is configured to set an arrangement mode of the cargo rate level from high to low into an unloading mode;
and the loading setting module is configured to set the arrangement mode of the cargo rate level from low to high into a loading mode.
Further, the standard screening unit includes:
a ranking determination module configured to determine whether the cargo rate rank group follows low-to-high or high-to-low;
a compliance determination module configured to determine that the cargo rate rank set has a compliance and store the cargo rate rank set having the compliance;
and the forward and backward negating module is configured to judge that the cargo rate rank ordered group does not have forward ductility and delete the cargo rate rank ordered group which does not have forward ductility.
Further, the numerical value calculation unit includes:
the time acquisition module is configured to acquire the duration time of the video information;
the volume acquisition module is configured to acquire a carriage volume parameter;
the difference value acquisition module is configured to acquire all the cargo rate level arrangement groups and calculate the cargo rate difference of the cargo rate level arrangement groups;
a single acquisition module configured to take the product of the cargo rate difference and the vehicle cabin volume parameter as a single loading and unloading amount;
a total amount calculation module configured to calculate a total amount of the single loading and unloading amounts to obtain a total loading and unloading amount;
and a result acquisition module configured to take the quotient of the total loading and unloading amount and the duration of the video information as the loading and unloading rate.
According to another aspect of the present application, there is provided an apparatus comprising:
one or more processors;
a memory for storing one or more programs,
the one or more programs, when executed by the one or more processors, cause the one or more processors to perform the method of any of the preceding claims.
According to another aspect of the present application, there is provided a computer readable storage medium storing a computer program which when executed by a processor implements a method as claimed in any one of the above.
Compared with the prior art, the application has the following beneficial effects:
1. according to the loading and unloading rate determining method, video information in a range is obtained, a characteristic image group is intercepted from the video information, a matching standard image of the characteristic image group is obtained by utilizing an image recognition technology, each standard image corresponds to one cargo rate grade, a cargo rate grade arrangement group corresponding to the characteristic image group is further obtained, the cargo rate grade arrangement group with ductility is screened according to a cargo rate grade arrangement mode, and loading and unloading rates are automatically calculated according to time parameters of the screened cargo rate grade arrangement group, a carriage and the video information. The application can realize the automatic acquisition of the loading and unloading rate of the loading area, and the method for determining the loading and unloading rate is simple, saves the computing resource and has high fault tolerance.
2. According to the loading and unloading rate confirming system, video information in a range is acquired through the video acquisition unit, the video information is processed and transformed through the image interception unit, and the transformed image information is recognized and calculated through the standard setting unit, the standard matching unit, the standard screening unit and the numerical value calculation unit through the image recognition technology, so that the unloading rate is automatically determined.
3. The equipment in the application can better achieve service timeliness and improve service quality by executing the loading and unloading rate statistical method based on image recognition through the processor.
4. The readable storage medium is stored with the image recognition-based loading and unloading rate statistical method realized when being executed by a processor, so that the image recognition-based loading and unloading rate statistical system is convenient to use and popularize.
Drawings
FIG. 1 is a flow chart of the present application.
Detailed Description
For a better understanding of the technical solution of the present application, the present application will be further described with reference to the following specific examples and the accompanying drawings.
Example 1:
the loading and unloading rate statistical system based on image recognition in this embodiment includes:
the video acquisition unit is configured to acquire video information in a loading and unloading range;
an image capturing unit configured to capture a time-ordered single-pass loaded feature image group from the video information by setting a similarity threshold of adjacent feature image frames;
a standard setting unit comprising: the image setting module is configured to set standard images corresponding to the cargo rate grades of the carriages one by one and order the standard images according to the grades; the unloading setting module is configured to set an arrangement mode of the cargo rate level from high to low into an unloading mode; a loading setting module configured to set an arrangement of the cargo rate levels from low to high as a loading mode;
the standard matching unit is configured to screen standard images matched with the characteristic images in the standard image comparison group to obtain a matched standard image group matched with the characteristic image group, and generate a corresponding cargo rate rank arrangement group according to the matched standard image group;
a standard screening unit comprising: a ranking determination module configured to determine whether the cargo rate rank group follows low-to-high or high-to-low; a compliance determination module configured to determine that the cargo rate rank set has a compliance and store the cargo rate rank set having the compliance; a forward negation module configured to determine that the cargo rate rank set does not have forward ductility and delete the cargo rate rank set that does not have forward ductility;
a numerical value calculation unit comprising: the time acquisition module is configured to acquire the duration time of the video information; the volume acquisition module is configured to acquire a carriage volume parameter; the difference value acquisition module is configured to acquire all the cargo rate level arrangement groups and calculate the cargo rate difference of the cargo rate level arrangement groups; a single acquisition module configured to take the product of the cargo rate difference and the vehicle cabin volume parameter as a single loading and unloading amount; a total amount calculation module configured to calculate a total amount of the single loading and unloading amounts to obtain a total loading and unloading amount; and a result acquisition module configured to take the quotient of the total loading and unloading amount and the duration of the video information as the loading and unloading rate.
Specifically, the image recognition-based loading and unloading rate statistical method provided by the embodiment includes the following steps:
s1, acquiring video information in a loading and unloading range.
The camera is arranged at the loading and unloading ports, so that the statistical accuracy is improved, and only one vehicle can be loaded and unloaded at the same time at each loading and unloading port, so that only a single vehicle is used in the video information acquired by the camera. If the loading and unloading port can load and unload a plurality of vehicles at the same time, a plurality of loading and unloading ranges can be arranged, and a special camera is arranged in each loading and unloading range.
S2, cutting out the time-ordered single-loading and single-unloading characteristic image group from the video information by setting a similarity threshold value of adjacent characteristic image frames.
The video information acquisition time range is set first, for example, video information within one month is acquired, and the image is scaled to 240×240 size. Intercepting an initial frame image of video information as an initial feature image, wherein the initial feature image needs to meet the definition requirement, and intercepting the next frame image as the initial feature image if the image is not clear. The feature images intercepted later also need to be subjected to definition judgment.
And setting a similarity threshold value of adjacent characteristic image frames, and further screening characteristic images of the process characteristic image group. In this embodiment, the similarity between the next frame image and the initial feature image is determined from the initial feature image to be lower than 0.95, if so, the frame image is taken as the second feature image, if not, that is, the similarity between the next frame image and the initial feature image is too high, the frame image is discarded, and if so, whether the similarity between the next frame image and the initial feature image of the frame image reaches a threshold is determined. After the second characteristic image is intercepted, the second characteristic image is used as a similarity comparison reference, and a third characteristic image is intercepted by the intercepting method. And the like, until the interception of the whole video information is completed, generating a process characteristic image group from the intercepted characteristic images according to the interception sequence.
License plate recognition is carried out on the process feature images, and continuous feature images after the initial feature images are formed into a group which is used as a first group of feature images, wherein the continuous feature images are identical to license plates of the initial feature images, and the initial feature images are identical to the license plates of the initial feature images; and taking the first characteristic image which is different from the license plate of the initial characteristic image as a first frame characteristic image of a second group of characteristic images, comparing the continuous characteristic images after the frame characteristic image with the license plates of the frame characteristic images, and dividing the same license plates into the second group of characteristic images. And the same is repeated until all the characteristic images of the process characteristic image group are divided, so that a plurality of characteristic image groups marked with corresponding license plates and assembled at a time are obtained.
S3, setting a standard image comparison group corresponding to the corresponding cargo rate level.
In this embodiment, the cargo rate refers to the percentage of cargo that occupies the space of the vehicle. According to the high-to-low cargo rate setting, the present embodiment sets 11 levels, which are respectively: 0. 10%, 20%, 30%,40%, 50%, 60%, 70%, 80%, 90%, 100%. Each grade corresponds to shooting a standard carriage image, and the shot standard carriage images corresponding to the cargo rate grade form a standard image comparison group.
Setting an arrangement mode of the cargo rate level from high to low as an unloading mode; the low to high cargo rate arrangement is set to the loading mode. This distinction facilitates separate statistics of loading and unloading efficiencies. In other embodiments, there may be no need to distinguish between loading and unloading.
And S4, screening standard images matched with the characteristic images in the standard image comparison group to obtain a matched standard image group matched with the characteristic image group, and generating a corresponding cargo rate grade arrangement group according to the matched standard image group.
And matching the characteristic images of the characteristic image group with the standard image comparison group one by one, screening the matched standard images of the initial characteristic images, and obtaining the similarity of the initial characteristic images and the standard images in the standard image comparison group, wherein the standard image with the highest similarity is used as the matched standard image of the initial characteristic images. And then obtaining a matching standard image of the subsequent characteristic image according to the matching method until the whole characteristic image group is matched. And sequencing the acquired matching standard images according to the arrangement sequence of the characteristic images to obtain the sequence of the matching standard images, namely a matching standard image group. And converting the matching standard images into corresponding cargo rate levels, and generating corresponding cargo rate level arrangement groups according to the matching standard image groups.
And S5, screening out cargo rate grade arrangement groups with ductile arrangement sequences.
Judging whether the cargo rate level of the cargo rate level arrangement group obtained in the step S4 is an arrangement mode of the cargo rate level from high to low or from low to high, if the two arrangement modes indicate that the cargo rate level arrangement group is available, storing; if the two arrangements are not the two arrangements, namely, the arrangement has a grade inflection point (grade is increased firstly and then is decreased or is decreased firstly and then is increased), the cargo rate grade arrangement group is not ductile, and the cargo rate grade arrangement group is abandoned.
S6, calculating loading and unloading rates according to the screened cargo rate rank arrangement groups, the carriage volumes and the time parameters of the video information.
The duration t of the video information is first acquired without distinguishing between the loading mode and the unloading mode (1 month in this embodiment). The carriage volume parameter v is obtained, and the carriage volumes of the logistics transportation vehicles in the embodiment are the same.
And (3) calculating the load rate difference between the highest load rate level and the lowest load rate level of the load rate level arrangement group obtained in the step (S5), obtaining a plurality of load rate differences (k 1k2 … kn), respectively calculating the product of the load rate difference and the carriage volume to obtain single loading and unloading amount, and summing all the obtained single loading and unloading amounts to obtain total loading and unloading amount. And calculating the quotient of the total loading and unloading amount and the duration time of the video information to obtain the loading and unloading rate of the loading and unloading port to which the video information belongs. The loading and unloading rate calculation method comprises the following steps:
therefore, the step loading rate statistics can be automatically performed on the loading port by selecting the time range of the video information.
If the loading mode and the unloading mode need to be distinguished, firstly, carrying out loading mode and unloading mode division according to the arrangement mode of the cargo rate level arrangement group obtained in the step S5, dividing the cargo rate level arrangement group with the arrangement mode from high to low into the unloading mode, and dividing the cargo rate level arrangement group with the arrangement mode from low to high into the device mode. After division, the corresponding loading rate and unloading rate are counted respectively.
The method for calculating the loading rate comprises the steps of obtaining all loading rate grade arrangement groups belonging to a loading mode, calculating corresponding loading rate differences, and calculating single loading capacity by utilizing the loading rate differences and the carriage volume. And acquiring single loading time of the characteristic image group to which the cargo rate rank arrangement group belongs (the difference between the initial interception time and the end interception time of the characteristic image group is taken as the single loading time). The quotient of the single load amount and the single load time belonging to the same load rate rank-ordered group is taken as the single load rate. And calculating all the single loading rates according to the method, and taking the mode of all the single loading rates as the loading rate.
The method for calculating the unloading rate is basically consistent with the method for calculating the loading rate, and the unloading rate is calculated by the method through the cargo rate grade arrangement groups divided into the unloading modes.
The apparatus of this embodiment includes one or more processors;
a memory for storing one or more programs,
the one or more programs, when executed by the one or more processors, cause the one or more processors to perform the image recognition-based loading rate statistics method as recited in any of the preceding claims, enable automatic statistics of loading rates of loading ports.
A computer-readable storage medium storing a computer program of the present embodiment, which when executed by a processor, implements the image recognition-based loading/unloading rate statistical method as set forth in any one of the above, facilitating use and popularization of the image recognition-based loading/unloading rate statistical system.
The above description is only illustrative of the preferred embodiments of the present application and of the principles of the technology employed. It will be appreciated by persons skilled in the art that the scope of the application referred to in the present application is not limited to the specific combinations of the technical features described above, but also covers other technical features formed by any combination of the technical features described above or their equivalents without departing from the inventive concept. Such as the features described above, have similar functions to those disclosed in the present application (but are not limited to).
Claims (10)
1. A loading and unloading rate determining method, comprising:
acquiring video information in a loading and unloading range;
intercepting a time ordered single loading and unloading feature image group from the video information by setting a similarity threshold of adjacent feature image frames;
setting a standard image comparison group corresponding to the cargo rate level;
screening standard images matched with the characteristic images in the standard image comparison group to obtain a matched standard image group matched with the characteristic image group, and generating a corresponding cargo rate grade arrangement group according to the matched standard image group;
screening out cargo rate grade arrangement groups with ductile arrangement sequences;
and calculating loading and unloading rate according to the screened cargo rate grade arrangement group, the carriage volume and the time parameter of the video information.
2. The method of claim 1, wherein the setting of the standard image alignment group corresponding to the cargo rate level comprises:
setting standard images corresponding to the cargo rate grades of the carriages one by one to obtain a standard image comparison group;
setting an arrangement mode of the cargo rate level from high to low as an unloading mode;
the low to high cargo rate arrangement is set to the loading mode.
3. The method of claim 1, wherein the screening out the rank order group having a ductile rank order comprises:
determining whether the cargo rate ranking group follows low-to-high or high-to-low:
if yes, judging that the cargo rate rank array has the ductility and storing the cargo rate rank array with the ductility;
and if not, judging that the cargo rate rank group does not have the ductility and deleting the cargo rate rank group which does not have the ductility.
4. The method of claim 1, wherein calculating the loading rate based on the filtered cargo rate ranking group, the car volume, and the time parameter of the video information comprises:
acquiring video information duration;
acquiring a carriage volume parameter;
acquiring all cargo rate level arrangement groups and calculating the cargo rate difference of the cargo rate level arrangement groups;
taking the product of the cargo rate difference and the carriage volume parameter as a single loading and unloading amount;
calculating the sum of the single loading and unloading amounts to obtain total loading and unloading amount;
the quotient of the total load and the duration of the video information is taken as the load and unload rate.
5. A loading and unloading rate determining system, comprising:
the video acquisition unit is configured to acquire video information in a loading and unloading range;
an image capturing unit configured to capture a time-ordered single-pass loaded feature image group from the video information by setting a similarity threshold of adjacent feature image frames;
a standard setting unit configured to set a standard image comparison group corresponding to the cargo rate level;
the standard matching unit is configured to screen standard images matched with the characteristic images in the standard image comparison group to obtain a matched standard image group matched with the characteristic image group, and generate a corresponding cargo rate rank arrangement group according to the matched standard image group;
a standard screening unit configured to screen out a cargo rate rank array group having a rank order with a forward ductility;
and the numerical calculation unit is configured to calculate the loading and unloading rate according to the screened cargo rate grade arrangement group, the carriage volume and the time parameter of the video information.
6. The system according to claim 5, wherein the standard setting unit includes:
the image setting module is configured to set standard images corresponding to the cargo rate grades of the carriages one by one and order the standard images according to the grades;
the unloading setting module is configured to set an arrangement mode of the cargo rate level from high to low into an unloading mode;
and the loading setting module is configured to set the arrangement mode of the cargo rate level from low to high into a loading mode.
7. The system of claim 5, wherein the standard screening unit comprises:
a ranking determination module configured to determine whether the cargo rate rank group follows low-to-high or high-to-low;
a compliance determination module configured to determine that the cargo rate rank set has a compliance and store the cargo rate rank set having the compliance;
and the forward and backward negating module is configured to judge that the cargo rate rank ordered group does not have forward ductility and delete the cargo rate rank ordered group which does not have forward ductility.
8. The system according to claim 5, wherein the numerical calculation unit includes:
the time acquisition module is configured to acquire the duration time of the video information;
the volume acquisition module is configured to acquire a carriage volume parameter;
the difference value acquisition module is configured to acquire all the cargo rate level arrangement groups and calculate the cargo rate difference of the cargo rate level arrangement groups;
a single acquisition module configured to take the product of the cargo rate difference and the vehicle cabin volume parameter as a single loading and unloading amount;
a total amount calculation module configured to calculate a total amount of the single loading and unloading amounts to obtain a total loading and unloading amount;
and a result acquisition module configured to take the quotient of the total loading and unloading amount and the duration of the video information as the loading and unloading rate.
9. An apparatus, the apparatus comprising:
one or more processors;
a memory for storing one or more programs,
the one or more programs, when executed by the one or more processors, cause the one or more processors to perform the method of any of claims 1-4.
10. A computer readable storage medium storing a computer program, which when executed by a processor implements the method of any one of claims 1-4.
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| CN107491715A (en) * | 2016-06-13 | 2017-12-19 | 北京文安智能技术股份有限公司 | A kind of subway carriage passenger flow statistical method, apparatus and system based on video analysis |
| WO2018036456A1 (en) * | 2016-08-22 | 2018-03-01 | 大辅科技（北京）有限公司 | Method and device for tracking and recognizing commodity in video image and displaying commodity information |
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