CN112067624A - Machine vision distributed detection method, device and system based on 5G network - Google Patents
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Abstract
The application relates to a machine vision distributed detection method, device and system based on a 5G network. The method comprises the following steps: the automatic terminal acquires image information of a detection point; the automatic terminal packs the image information and the mark of the automatic terminal into a detection task and sends the detection task to a background server through a 5G network; the background server loads a visual tool according to the detection task, processes the image information through the visual tool and obtains a processing result; and the background server sends the processing result to the automation terminal through a 5G network. By adopting the method, the visual detection cost can be reduced.
Description
Technical Field
The present application relates to the field of communications technologies, and in particular, to a machine vision distributed detection method, apparatus, and system based on a 5G network.
Background
With the development of image processing technology, more and more manufacturing industries adopt machine vision to detect products of stations, and the machine vision has the characteristics of high detection efficiency and low cost. In a manufacturing factory, traditional industrial data and control signals are transmitted by cables, and due to the complexity and diversity of industrial fields and the complexity of equipment data wiring, the maintenance is difficult when signal transmission faults occur; the scheme for wireless transmission of industrial data and control signals appears in the later period, and the data transmission requirement on the mobile automation terminal can be met through the scheme for wireless transmission.
However, in the existing wireless transmission scheme applied inside the manufacturing factory, different stations on the production line need to deploy different visual inspection tools, which results in high visual inspection cost. Meanwhile, the requirement of customized flexible production of a customer is met, the visual detection task is in a dynamic adjustment state, and the current traditional visual detection scheme cannot meet the requirement of frequent task switching scenes.
Disclosure of Invention
Based on this, it is necessary to provide a machine vision distributed detection method, device and system based on a 5G network to solve the above technical problems.
A machine vision distributed detection method based on a 5G network, the method comprising:
the automatic terminal acquires image information of a detection point;
the automatic terminal packs the image information and the mark of the automatic terminal into a detection task and sends the detection task to a background server through a 5G network;
the background server loads a visual tool according to the detection task, processes the image information through the visual tool and obtains a processing result;
and the background server sends the processing result to the automation terminal through a 5G network.
In one embodiment, before the automated terminal acquires the image information of the detection point, the method includes: judging whether the detection object reaches the detection point; and if the detection object reaches the detection point, the automatic terminal acquires the image information of the detection point.
In one embodiment, after the automatic terminal packages the image information and the identifier of the automatic terminal into a detection task and sends the detection task to a background server through a 5G network, the method includes: when the automatic terminal is not registered in the background server, the background server registers the automatic terminal according to the mark of the automatic terminal; the background server establishes a visual inspection project according to the registered automatic terminal; and the background server loads a plurality of visual tools in a visual tool library for each visual detection project, each detection task comprises a plurality of detection task branches, and each visual tool corresponds to the detection task branch.
In one embodiment, the loading, by the backend server, a visual tool according to the detection task, and processing the image information by the visual tool to obtain a processing result includes: the background server searches the corresponding visual detection project according to the mark; according to the detection task branch, the visual detection engineering loads a corresponding visual tool from a visual tool library; and processing the image information through the visual tool to obtain a processing result.
In one embodiment, the machine vision distributed detection method based on the 5G network further includes: the background server acquires the upgrading information of the automation terminal; the upgrade information includes a flag of the automation terminal; and the background server upgrades the visual inspection project according to the mark of the automation terminal.
A machine vision distributed detection apparatus based on a 5G network, the apparatus comprising:
the image information acquisition module is used for acquiring the image information of the detection point by the automatic terminal;
the task sending module is used for packaging the image information and the mark of the automatic terminal into a detection task by the automatic terminal and sending the detection task to the background server through a 5G network;
the processing module is used for loading a visual tool by the background server according to the detection task and processing the image information through the visual tool to obtain a processing result;
and the result sending module is used for sending the processing result to the automation terminal through the 5G network by the background server.
In one embodiment, the 5G network-based machine vision distributed detection apparatus further includes: the judging module is used for judging whether the detected object reaches the detecting point; and the image acquisition module is used for acquiring the image information of the detection point by the automatic terminal if the detection object reaches the detection point.
In one embodiment, the 5G network-based machine vision distributed detection apparatus further includes: the registration module is used for registering the automatic terminal by the background server according to the mark of the automatic terminal when the automatic terminal is not registered in the background server; the visual inspection engineering establishment module is used for establishing a visual inspection engineering by the background server according to the registered type of the automatic terminal; and the loading module is used for loading a plurality of visual tools in a visual library by the background server according to each visual detection project, each detection task comprises a plurality of detection task branches, and each visual tool corresponds to the detection task branch.
In one embodiment, the processing module comprises: the searching unit is used for searching the corresponding visual detection project by the background server according to the mark; the loading unit is used for loading the corresponding visual tool from a visual tool library by the visual detection project according to the detection task branch; and the processing unit is used for processing the image information through the visual tool to obtain a processing result.
A machine vision distributed detection system based on a 5G network comprises the automation terminal and a background server; the automatic terminal comprises an industrial camera, a light source, a 5G network module and an industrial robot, and the background server comprises the 5G network module.
The machine vision distributed detection method, the device and the system based on the 5G network connect the automation terminal with the background server through the 5G network, and the background server loads the vision tools in a centralized manner to process detection tasks, so that the production stoppage loss of communication wiring and the maintenance cost of communication wires can be reduced, and a plurality of vision controllers at independent stations can be saved by uniformly deploying the vision tools on the platform server, and the equipment cost is reduced.
Drawings
FIG. 1 is a diagram of an application environment of a machine vision distributed detection method based on a 5G network in an embodiment;
FIG. 2 is a flow diagram illustrating a 5G network-based machine vision distributed detection method according to an embodiment;
FIG. 3 is a block diagram of a 5G network-based machine vision distributed detection apparatus according to an embodiment;
FIG. 4 is a schematic structural diagram of a machine vision distributed detection system based on a 5G network in one embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
The machine vision distributed detection method based on the 5G network can be applied to the application environment shown in FIG. 1. The automation terminal 102 communicates with the background server 104 through a 5G network. The automatic terminal 102 acquires image information of a detection point; the automatic terminal 102 packages the image information and the mark of the automatic terminal 102 into a detection task, and sends the detection task to the background server 104 through a 5G network; the background server 104 loads a visual tool according to the mark, and processes the image information through the visual tool to obtain a processing result; the background server 104 sends the processing result to the automation terminal 102 through a 5G network. The automation terminal 102 may be, but is not limited to, a computer terminal for image acquisition and control of workstations of various plant workshops, and the background server 104 may be implemented by an independent server or a server cluster formed by a plurality of servers.
In one embodiment, as shown in fig. 2, there is provided a machine vision distributed detection method based on a 5G network, including the following steps:
and S110, the automatic terminal acquires the image information of the detection point.
The automatic terminal is a computer terminal arranged in a factory workshop for image detection and control, the detection point is a position for collecting image information, specifically, the detection point is aligned to by adjusting the shooting angle of a camera and the brightness of a light source, and when a detected object reaches the detection point, the detected object is shot. For example, in a production line, a detection point is a defect detection of a mobile phone screen, and the mobile phone screen reaching the detection point is shot by a camera to acquire an image of the mobile phone screen.
And S120, the automatic terminal packages the image information and the mark of the automatic terminal into a detection task and sends the detection task to a background server through a 5G network.
One of the automation terminals corresponds to one of the detection stations, and a flag is preset for each of the automation terminals, for example, an Identity Document (ID) is set for each of the automation terminals. The detection task is a task that needs to process image information, for example, an image of a mobile phone screen is a task that needs to detect defects of the mobile phone screen. The image information and the mark of the automatic terminal are packaged into a detection task, so that the image information and the mark of the automatic terminal can be associated, the transmission of data is facilitated, and the specific packaging mode can be that the image information and the mark of the automatic terminal are arranged into a data packet. The 5G (5th generation mobile networks) is a cellular mobile communication technology, and has the characteristics of high data rate, reduced delay, energy saving, reduced cost, improved system capacity and large-scale device connection, and the communication connection between the automation terminal and the backend server is realized through a 5G network, so that the data communication between a plurality of automation terminals and the backend server can be simultaneously satisfied, for example, the 5G network can ensure that an industrial camera, a visual processor, a PLC and a manipulator have wireless connection conditions. The background server adopts an MEP (Mobile edge platform) to construct a system architecture, the platform provides an MEC (Mobile edge computing) and a 5G gateway, and the 5G network provides network support for the MEC (Mobile edge computing). If the WiFi technology is adopted to realize wireless communication, although the communication speed can be guaranteed, the distance of WiFi communication is limited, high-speed private network in an enterprise cannot be realized, the problem of disconnection is easy to occur, and one WiFi router can only realize connection of a small number of automatic terminals and a background server, for example, a scanning gun is disconnected with the WiFi network frequently in the walking process.
And S130, the background server loads a visual tool according to the detection task, processes the image information through the visual tool and obtains a processing result.
The visual tool is a network model or a function model for processing image information in the detection task, the processing result is a result of image processing performed by the network model or the function model, for example, the image information is an image of a mobile phone screen, the visual tool is an artificial neural network model for detecting defects of the mobile phone screen, and the processing result can be that the mobile phone screen has defects or the mobile phone screen does not have defects, or the processing result is a position where the mobile phone screen has defects.
And S140, the background server sends the processing result to the automation terminal through a 5G network.
In this embodiment, machine vision main task is to replace human eyes, can take a picture to the station detection thing to process the picture and in order to discern the characteristic of high fineness, carry out the digitization to the characteristic, because the higher resolution ratio of picture, the more outstanding is the details, the more reliable detection result is, machine vision is very strict to the requirement of transmission bandwidth, traditional wiFi technique and bluetooth etc. can not satisfy the requirement of bandwidth. The 5G network can provide enough transmission bandwidth, the wireless transmission of pictures is possible, and meanwhile, the machine vision distributed detection system transmitted through the 5G network can be deployed in a network mode, so that the cost is reduced.
In the machine vision distributed detection method based on the 5G network, the automatic terminal is connected with the background server through the 5G network, the background server is used for loading the vision tools in a centralized manner to process detection tasks, the production stop loss of communication wiring and the maintenance cost of communication wires can be reduced, the vision tools are uniformly deployed on the platform server, a plurality of vision controllers at independent stations can be saved, and the equipment cost is reduced.
In one embodiment, before the automated terminal acquires the image information of the detection point, the method includes: judging whether the detection object reaches the detection point; and if the detection object reaches the detection point, the automatic terminal acquires the image information of the detection point.
The automatic terminal can be powered by a storage battery and can move freely. According to the embodiment, the electric energy loss of the automatic terminal can be reduced by image acquisition at the time when the detection object reaches the detection point.
In one embodiment, after the automatic terminal packages the image information and the identifier of the automatic terminal into a detection task and sends the detection task to a background server through a 5G network, the method includes: when the automatic terminal is not registered in the background server, the background server registers the automatic terminal according to the mark of the automatic terminal; the background server establishes a visual inspection project according to the registered automatic terminal; and the background server loads a plurality of visual tools in a visual tool library for each visual detection project, each detection task comprises a plurality of detection task branches, and each visual tool corresponds to the detection task branch.
The automatic terminal is registered in the background server through the mark, the background server identifies the automatic terminal according to the mark, the background server establishes a visual inspection project according to the automatic terminal, various visual tools are loaded in the visual inspection project, various inspection tasks can be performed on the same automatic terminal, and the background server can perform inspection on a plurality of automatic terminals simultaneously.
In one embodiment, the loading, by the backend server, a visual tool according to the detection task, and processing the image information by the visual tool to obtain a processing result includes: the background server searches the corresponding visual detection project according to the mark; according to the detection task branch, the visual detection engineering loads a corresponding visual tool from a visual tool library; and processing the image information through the visual tool to obtain a processing result. In the implementation, the corresponding visual tool is loaded according to the detection task, so that the processing requirements of different detection tasks are met.
In one embodiment, the machine vision distributed detection method based on the 5G network further includes: the background server acquires the upgrading information of the automation terminal; the upgrade information includes a flag of the automation terminal; and the background server upgrades the visual inspection project according to the mark of the automation terminal. In the embodiment, station transformation upgrading or product line replacement is that the visual inspection engineering is built through the off-line simulator, and then is mounted in the MEC unit of the background server to run formally, so that the workshop can be prevented from being manually upgraded one by one, and the upgrading efficiency is improved.
It should be understood that, although the steps in the flowchart of fig. 2 are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least a portion of the steps in fig. 2 may include multiple steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, which are not necessarily performed in sequence, but may be performed in turn or alternately with other steps or at least a portion of the other steps or stages.
In one embodiment, as shown in fig. 3, there is provided a machine vision distributed detection apparatus based on a 5G network, including: an image information obtaining module 210, a task sending module 220, a processing module 230 and a result sending module 240, wherein:
and an image information obtaining module 210, configured to obtain the image information of the detection point by the automation terminal.
And the task sending module 220 is configured to pack the image information and the identifier of the automation terminal into a detection task by the automation terminal, and send the detection task to the background server through the 5G network.
And the processing module 230 is configured to load a visual tool by the background server according to the detection task, and process the image information through the visual tool to obtain a processing result.
And a result sending module 240, configured to send the processing result to the automation terminal through a 5G network by the background server.
In one embodiment, the 5G network-based machine vision distributed detection apparatus further includes: the judging module is used for judging whether the detected object reaches the detecting point; and the image acquisition module is used for acquiring the image information of the detection point by the automatic terminal if the detection object reaches the detection point.
In one embodiment, the 5G network-based machine vision distributed detection apparatus further includes: the registration module is used for registering the automatic terminal by the background server according to the mark of the automatic terminal when the automatic terminal is not registered in the background server; the visual inspection engineering establishment module is used for establishing a visual inspection engineering by the background server according to the registered type of the automatic terminal; and the background server is used for loading a plurality of visual tools in a visual library according to each visual detection project, each detection task comprises a plurality of detection task branches, and each visual tool corresponds to the detection task branch.
In one embodiment, the processing module 230 comprises: the searching unit is used for searching the corresponding visual detection project by the background server according to the mark; the loading unit is used for loading the corresponding visual tool from a visual tool library by the visual detection project according to the detection task branch; and the processing unit is used for processing the image information through the visual tool to obtain a processing result.
In one embodiment, the 5G network-based machine vision distributed detection apparatus further includes: the upgrading information acquisition module is used for acquiring the upgrading information of the automation terminal by the background server; wherein the upgrade information includes a flag of the automation terminal; and the upgrading module is used for upgrading the visual inspection project by the background server according to the mark of the automatic terminal.
For specific limitations of the 5G network-based machine vision distributed detection apparatus, reference may be made to the above limitations of the 5G network-based machine vision distributed detection method, and details are not repeated here. The modules in the 5G network-based machine vision distributed detection device can be wholly or partially implemented by software, hardware and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, as shown in fig. 4, a machine vision distributed detection system based on a 5G network is provided, which includes the automation terminal and the background server described in the above embodiments; the automatic terminal comprises an industrial camera, a light source, a 5G network module and an industrial robot, and the background server comprises the 5G network module. And the background server is provided with cloud version visual application software and is constructed by an MEC unit. Wherein the industrial camera acquires image information when the detection object reaches a detection point.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database or other medium used in the embodiments provided herein can include at least one of non-volatile and volatile memory. Non-volatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical storage, or the like. Volatile Memory can include Random Access Memory (RAM) or external cache Memory. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM), among others.
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. A machine vision distributed detection method based on a 5G network is characterized by comprising the following steps:
the automatic terminal acquires image information of a detection point;
the automatic terminal packs the image information and the mark of the automatic terminal into a detection task and sends the detection task to a background server through a 5G network;
the background server loads a visual tool according to the detection task, processes the image information through the visual tool and obtains a processing result;
and the background server sends the processing result to the automation terminal through a 5G network.
2. The method of claim 1, prior to the automated terminal acquiring the image information of the detection point, comprising:
judging whether the detection object reaches the detection point;
and if the detection object reaches the detection point, the automatic terminal acquires the image information of the detection point.
3. The method of claim 1, wherein after the automatic terminal packages the image information and the mark of the automatic terminal into a detection task and sends the detection task to a background server through a 5G network, the method comprises the following steps:
when the automatic terminal is not registered in the background server, the background server registers the automatic terminal according to the mark of the automatic terminal;
the background server establishes a visual inspection project according to the registered automatic terminal;
and the background server loads a plurality of visual tools in a visual tool library for each visual detection project, each detection task comprises a plurality of detection task branches, and each visual tool corresponds to the detection task branch.
4. The method of claim 3, wherein the background server loads a visual tool according to the detection task and processes the image information through the visual tool to obtain a processing result, comprising:
the background server searches the corresponding visual detection project according to the mark;
according to the detection task branch, the visual detection engineering loads a corresponding visual tool from a visual tool library;
and processing the image information through the visual tool to obtain a processing result.
5. The method of claim 3, further comprising:
the background server acquires the upgrading information of the automation terminal; the upgrade information includes a flag of the automation terminal;
and the background server upgrades the visual inspection project according to the mark of the automation terminal.
6. A machine vision distributed detection device based on a 5G network, which is characterized by comprising:
the image information acquisition module is used for acquiring the image information of the detection point by the automatic terminal;
the task sending module is used for packaging the image information and the mark of the automatic terminal into a detection task by the automatic terminal and sending the detection task to the background server through a 5G network;
the processing module is used for loading a visual tool by the background server according to the detection task and processing the image information through the visual tool to obtain a processing result;
and the result sending module is used for sending the processing result to the automation terminal through the 5G network by the background server.
7. The apparatus of claim 6, further comprising:
the judging module is used for judging whether the detected object reaches the detecting point;
and the image acquisition module is used for acquiring the image information of the detection point by the automatic terminal if the detection object reaches the detection point.
8. The apparatus of claim 6, further comprising:
the registration module is used for registering the automatic terminal by the background server according to the mark of the automatic terminal when the automatic terminal is not registered in the background server;
the visual inspection engineering establishment module is used for establishing a visual inspection engineering by the background server according to the registered type of the automatic terminal;
and the loading module is used for loading a plurality of visual tools in a visual library by the background server according to each visual detection project, each detection task comprises a plurality of detection task branches, and each visual tool corresponds to the detection task branch.
9. The apparatus of claim 8, wherein the processing module comprises:
the searching unit is used for searching the corresponding visual detection project by the background server according to the mark;
the loading unit is used for loading the corresponding visual tool from a visual tool library by the visual detection project according to the detection task branch;
and the processing unit is used for processing the image information through the visual tool to obtain a processing result.
10. A machine vision distributed detection system based on a 5G network, comprising the automation terminal of any one of claims 1 to 9 and a background server; the automatic terminal comprises an industrial camera, a light source, a 5G network module and an industrial robot, and the background server comprises the 5G network module.
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