CN113282778A - Quality abnormity recording method, device, AR equipment, system and medium - Google Patents
Quality abnormity recording method, device, AR equipment, system and medium Download PDFInfo
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Abstract
The embodiment of the invention discloses a quality abnormity recording method, a quality abnormity recording device, AR equipment, a system and a medium. The quality abnormity recording method comprises the following steps: obtaining a evidence obtaining picture of the unqualified product through a camera on the AR equipment; and uploading the evidence obtaining picture to a background system so as to classify and process the evidence obtaining picture through the background system. According to the technical scheme of the embodiment of the invention, the AR equipment is used for evidence obtaining and recording the products with abnormal quality, so that the hands of an operator are liberated, and the recording efficiency and the quality inspection accuracy of the abnormal quality are improved.
Description
Technical Field
Embodiments of the present invention relate to quality detection technologies, and in particular, to a quality anomaly recording method and apparatus, an AR device, a system, and a medium.
Background
In the production and manufacturing process of products, the quality of the products is often abnormal, for example, the poor product rate is high or a large number of defects are found due to poor feeding or poor previous processes, so it is very important to perform quality detection on the products in each step of production and manufacturing and to perform evidence collection and recording on the scenes with abnormal quality.
In the prior art, generally, the detection device is held by an operator in a hand, products in production are detected according to set detection items and detection flows, and when products with abnormal quality are detected, recording is performed.
Disclosure of Invention
The embodiment of the invention provides a quality abnormity recording method, a quality abnormity recording device, AR equipment, a system and a medium.
In a first aspect, an embodiment of the present invention provides a quality anomaly recording method, where the method is applied to an augmented reality AR device, and the method includes:
obtaining a evidence obtaining picture of the unqualified product through a camera on the AR equipment;
and uploading the evidence obtaining picture to a background system so as to classify and process the evidence obtaining picture through the background system.
In a second aspect, an embodiment of the present invention provides a quality anomaly recording method, where the method is applied to a background system, and the method includes:
receiving a evidence-obtaining picture of an unqualified product uploaded by the AR equipment;
performing cluster analysis on the evidence-obtained pictures, and constructing a quality abnormity database according to an analysis result;
wherein the quality anomaly database contains forensic pictures of all quality anomaly types.
In a third aspect, an embodiment of the present invention provides a quality anomaly recording method, where the method includes:
the AR equipment acquires a evidence obtaining picture of the unqualified product through the camera;
the AR equipment uploads the evidence obtaining picture to a background system;
and the background system classifies the evidence-obtaining pictures.
In a fourth aspect, an embodiment of the present invention further provides a quality anomaly recording apparatus, where the apparatus includes:
the image acquisition module is used for acquiring a evidence obtaining picture of the unqualified product through a camera on the AR equipment;
and the audio and video transmission module is used for uploading the evidence obtaining pictures to a background system so as to classify and process the evidence obtaining pictures through the background system.
In a fifth aspect, an embodiment of the present invention further provides an AR device, where the AR device includes:
one or more processors;
a memory for storing one or more programs;
when the one or more programs are executed by the one or more processors, the one or more processors implement the quality exception recording method provided by any embodiment of the present invention.
In a sixth aspect, an embodiment of the present invention further provides a quality anomaly recording system, including: an AR device and a background system;
the AR equipment is used for acquiring a evidence obtaining picture of the unqualified product through the camera and sending the evidence obtaining picture to the background system;
and the background system is used for carrying out classification processing on the evidence obtaining pictures.
In a seventh aspect, an embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the quality anomaly recording method provided in any embodiment of the present invention.
According to the technical scheme of the embodiment of the invention, the evidence obtaining picture of the unqualified product is obtained through the camera on the AR equipment, and the evidence obtaining picture is uploaded to the background system so as to be classified and processed through the background system, on one hand, both hands of an operator are liberated, and the quality inspection efficiency of the operator is improved, on the other hand, the evidence obtaining picture can be directly uploaded to the background system, so that the method is visual and clear, the quality abnormal condition is not required to be fed back to a quality inspection department in a way of filling a quality inspection sheet, and the quality abnormal recording efficiency and the quality inspection accuracy are further improved.
Drawings
FIG. 1 is a flowchart illustrating a quality anomaly recording method according to a first embodiment of the present invention;
FIG. 2 is a flowchart illustrating a quality anomaly recording method according to a second embodiment of the present invention;
FIG. 3 is a flowchart of a quality anomaly recording method according to a third embodiment of the present invention;
FIG. 4 is a flowchart of a quality anomaly recording method according to a fourth embodiment of the present invention;
FIG. 5 is a schematic structural diagram of a quality anomaly recording apparatus according to a fifth embodiment of the present invention;
fig. 6 is a schematic structural diagram of an AR device according to a sixth embodiment of the present invention;
fig. 7 is a schematic structural diagram of a quality anomaly recording system according to a seventh embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be further noted that, for the convenience of description, only some of the structures related to the present invention are shown in the drawings, not all of the structures.
Example one
Fig. 1 is a flowchart of a quality anomaly recording method in an embodiment of the present invention, where the technical solution of this embodiment is applied to an AR device, and is applicable to a case where an evidence-taking picture of an unqualified product is obtained by the AR device, the method may be executed by a quality anomaly recording apparatus, the apparatus may be implemented by software and/or hardware, and may be integrated in various general-purpose computer devices, and specifically includes the following steps:
and step 110, obtaining a evidence obtaining picture of the unqualified product through a camera on the AR equipment.
The AR (Augmented Reality) technology is a technology that skillfully integrates virtual information with the real world, and a variety of technical means such as multimedia, three-dimensional modeling, real-time tracking and registration, intelligent interaction, sensing and the like are widely applied, and virtual information such as characters, images, three-dimensional models, music, videos and the like generated by a computer is applied to the real world after being simulated.
The AR device used in this embodiment is a pair of display glasses, which is configured with a camera, a lens, a microphone, a speaker, and a processor, and is suitable for a scene with a wide angle of view requirement and a high scene display definition requirement, and may be used alone, or may be used in combination with a mobile phone or a PDA (Personal Digital Assistant, palmtop computer).
In this embodiment, the evidence obtaining picture of the unqualified product is obtained through the camera configured on the AR device, specifically, the operator wears the AR device to perform quality detection on the product, and when the product is detected to be not in accordance with the detection standard, the evidence obtaining picture of the unqualified product is obtained through the camera on the AR device, so that later management is facilitated. Illustratively, an operator wears the AR device to detect whether the product appearance has scratches, and when the product with scratches on the appearance is detected, the AR device may be instructed to take a picture to obtain a forensic picture by initiating a voice instruction, for example, inputting "take a picture to obtain a forensic" through a microphone.
Optionally, in order to ensure the quality of the forensic picture, this embodiment further includes:
displaying the evidence-taking picture through a lens on the AR equipment;
judging whether the evidence-taking picture meets the standard or not;
if not, obtaining the evidence obtaining picture again through the camera.
In this optional embodiment, in order to ensure that the taken evidence-obtaining picture is clear and usable, after the target product is taken, the evidence-obtaining picture is displayed through the lens on the AR device, and the operator can judge whether the taken picture is clear or not and whether a complete evidence-obtaining picture is taken or not, and when the taken evidence-obtaining picture does not meet the standard, the picture can be taken again to ensure the usability of the evidence-obtaining picture in the later management process.
Optionally, after the evidence obtaining picture is obtained by the AR device, the evidence obtaining picture can be checked through a PDA or a mobile phone connected to the AR device through a network, and the simple marking is performed on the evidence obtaining picture.
And 120, uploading the evidence-obtaining pictures to a background system so as to classify the evidence-obtaining pictures through the background system.
The background system is connected with the AR equipment through a network, and can be divided into a background data management subsystem, an equipment management subsystem and an intelligent analysis subsystem, and the background data management subsystem, the equipment management subsystem and the intelligent analysis subsystem are respectively used for storing the evidence obtaining pictures, managing the AR equipment and carrying out classification processing on the evidence obtaining pictures.
In this embodiment, after the obtained evidence obtaining picture is sent to the background system by the AR device, on the one hand, the evidence obtaining picture can be stored through the data management subsystem, on the other hand, the evidence obtaining picture can be subjected to cluster analysis through the intelligent analysis subsystem, the effect of classifying the evidence obtaining picture according to the set rule is realized, the follow-up evidence obtaining and management are facilitated, exemplarily, the unqualified types of the products corresponding to the evidence obtaining picture can be classified, the evidence obtaining picture corresponding to the product with the scratch appearance is taken as a first type, the evidence obtaining picture corresponding to the product with the unclear product outer surface trademark is taken as a second type, and the evidence obtaining picture corresponding to the product with the product size and the standard size error exceeding the allowable error range is taken as a third type.
According to the technical scheme of the embodiment of the invention, the evidence obtaining picture of the unqualified product is obtained through the camera on the AR equipment, and the evidence obtaining picture is uploaded to the background system so as to be classified and processed through the background system, on one hand, both hands of an operator are liberated, and the quality inspection efficiency of the operator is improved, on the other hand, the evidence obtaining picture can be directly uploaded to the background system, so that the method is visual and clear, the quality abnormal condition is not required to be fed back to a quality inspection department in a way of filling a quality inspection sheet, and the quality abnormal recording efficiency and the quality inspection accuracy are further improved.
Example two
Fig. 2 is a flowchart of a quality anomaly recording method in a second embodiment of the present invention, which is further detailed based on the above embodiment and provides specific steps for obtaining a forensic picture of an unqualified product. A quality anomaly recording method provided by a second embodiment of the present invention is described below with reference to fig. 2, which includes the following steps:
step 210, displaying the information of the quality inspection flow and the quality inspection standard pre-stored in the AR equipment to prompt an operator to perform quality detection on the product according to the information of the quality inspection flow and the quality inspection standard;
the quality inspection process comprises all quality inspection items of the product and the execution sequence of all quality inspection items, and the quality inspection standard comprises the qualification standard of the quality inspection items.
In this embodiment, the information of the quality inspection process and the quality inspection standard pre-stored in the AR device is displayed through the lens of the AR device, so as to prompt an operator about the specific quality inspection process and the detection standards of each process, thereby improving the accuracy of quality inspection.
Illustratively, the pre-stored quality inspection flow and quality inspection standard are displayed in front of the operator through the lens of the AR device, for example, the operator can perform quality inspection of the product according to the set steps according to the prompt information by displaying "step 1, measuring the peripheral dimension of the product, the standard dimension is 15 cm, and the allowable error is 3 mm" through the lens, or "step 2, observing whether the product has color points on the outer surface, and if the color points exceed 3 color points, the product is not qualified".
Step 220, when at least one quality inspection item of the target product does not meet the quality inspection standard, shooting the target product to obtain a forensics picture of the target product.
In this embodiment, when it is detected that at least one quality inspection item of the target product does not meet the quality inspection standard, the product is photographed by the camera of the AR device, and a target forensics picture is obtained. Illustratively, when at least one quality inspection item of the target product is detected not to meet the quality inspection standard, for example, the error between the product size and the standard size is detected to exceed 3 mm, the target product can be shot by initiating a voice instruction, and a forensic picture of the target product can be obtained.
Optionally, when at least one quality inspection item of the target product does not meet the quality inspection standard, shooting the target product to obtain a forensic picture of the target product, including:
when at least one quality inspection item of the target product does not meet the quality inspection standard, responding to a record starting instruction initiated by an operator, shooting the target product and acquiring a forensics picture of the target product;
the recording starting instruction comprises a key instruction or a voice instruction.
In this optional embodiment, when it is detected that at least one quality inspection item of the target product does not meet the quality inspection standard, the operator initiates a record starting instruction to the AR device, and the AR device performs shooting of the target product through the camera in response to the record starting instruction to obtain a forensics picture of the target product, where the record starting instruction includes a key instruction or a voice instruction, and illustratively, the operator may perform shooting of the target product by pressing a shooting button provided on the AR device, or may input "take a picture forensics" through a microphone to instruct the AR device to perform shooting.
Optionally, in order to ensure the normative quality inspection operation of the operator, this embodiment further includes:
recording the quality inspection operation of an operator through a camera of the AR equipment, acquiring video information of the quality inspection operation, and sending the video information to a background system;
and when receiving a message that the quality inspection operation of an operator is irregular, which is sent by the background system based on the video information, playing a prompt voice of the quality inspection operation error.
In this optional embodiment, a specific mode for monitoring quality inspection operation of an operator is provided, first, when the operator wears the AR device to perform quality inspection operation, the camera of the AR device can record the quality inspection operation of the operator through the camera of the AR device, video information of the quality inspection operation is acquired, and the video information is sent to the background system in real time, whether the background system meets the specification for the quality inspection operation of the operator is judged, if the operation does not meet the specification, an abnormal message of the quality inspection operation can be sent to the AR device, at this moment, the AR device can play a prompt voice of the quality inspection operation error through a loudspeaker, for example, prompt information such as "label detection operation is not specified, please detect again".
And step 230, uploading the evidence-obtaining pictures to a background system so as to classify the evidence-obtaining pictures through the background system.
According to the technical scheme of the embodiment of the invention, an operator performs product quality inspection under the condition that an AR device prompts a quality inspection process and a quality inspection standard, acquires the evidence obtaining picture of an unqualified product through a camera on the AR device and uploads the evidence obtaining picture to a background system so as to classify and process the evidence obtaining picture through the background system, and the operation of the quality inspector can be monitored and operation errors can be prompted in time in the evidence obtaining process.
EXAMPLE III
Fig. 3 is a flowchart of a quality anomaly recording method in the third embodiment of the present invention, and the technical scheme of this embodiment is applied to a background system, and is suitable for a situation where a forensic image of an unqualified product sent by an AR device is received and processed by the background system. A quality anomaly recording method provided by a third embodiment of the present invention is described below with reference to fig. 3, including the following steps:
and 310, receiving a evidence-obtaining picture of the unqualified product uploaded by the AR equipment.
In this embodiment, the background system first receives the forensic image of the unqualified product uploaded by the AR device, specifically, the AR device and the background system are connected via a network, that is, the background system receives the forensic image sent by the AR device via the network, so as to store and subsequently process the forensic image.
Optionally, before receiving the forensic picture of the rejected product uploaded by the AR device, the method further includes:
and initializing the AR equipment, and binding the AR equipment with the job number of the operator.
In this optional embodiment, a specific operation of the background system before receiving the evidence obtaining picture of the unqualified product uploaded by the AR device is provided, including initializing the AR device, and binding the job number of the AR device and the operator, on one hand, binding the AR device and the job number of the operator to conveniently set the use authority of the AR device, for example, the AR device can only execute the relevant evidence obtaining operation by logging in through the job number bound with the AR device, so that the information security is improved, on the other hand, the evidence obtaining picture acquired by the AR device and the job number of the operator can be correspondingly stored, and the realization of being responsible for people is provided.
Optionally, in order to ensure the normative quality inspection operation of the operator, this embodiment further includes:
receiving video information of quality inspection operation sent by AR equipment;
judging whether the quality inspection operation of an operator is matched with the quality inspection operation specification or not according to the video information;
and if not, sending a message that the quality inspection operation of the operator is not standard to the AR equipment.
In this optional embodiment, a mode of detecting whether quality inspection operation of an operator is standard is provided, specifically, a background system receives video information of the quality inspection operation sent by an AR device, extracts a quality inspection operation action from the video information, compares the quality inspection operation action with a quality inspection operation standard, determines whether quality inspection operation of the operator matches the quality inspection operation standard, and if not, sends a message that quality inspection operation of the operator is not standard to the AR device.
Illustratively, after receiving video information of a quality inspection operation, a background system needs to judge whether the quality inspection operation of a detection label meets the specification, wherein the operation specification of the quality inspection operation is that an operator needs to point to the label and confirms for 1-2 seconds, at the moment, the background system extracts the quality inspection operation that the operator detects whether the label is correctly pasted from the video information and detects whether the label is shielded for 1-2 seconds, and if so, the detection operation is considered to meet the specification; otherwise, the detection operation is considered to be missed or the operation is not standard by the operator, and at this moment, a message that the quality inspection operation of the operator is not standard needs to be sent to the AR device.
wherein, the quality anomaly database comprises the forensics pictures of all quality anomaly types.
In this embodiment, after receiving the forensic picture sent by the AR device, the background system stores the forensic picture, and meanwhile, performs cluster analysis on the forensic picture, and constructs a quality anomaly database according to an analysis result. Illustratively, the products can be classified according to the unqualified types of the products corresponding to the evidence obtaining pictures, the evidence obtaining pictures corresponding to the products with scratches on the appearances are taken as a first class, the evidence obtaining pictures corresponding to the products with unclear trademarks on the outer surfaces of the products are taken as a second class, and the evidence obtaining pictures corresponding to the products with the sizes and standard size errors exceeding the allowable error range are taken as a third class.
According to the technical scheme of the embodiment of the invention, the background system is used for receiving the evidence obtaining pictures of the unqualified products uploaded by the AR equipment, clustering analysis is carried out on the evidence obtaining pictures, and finally the quality abnormity database is constructed according to the analysis result.
Example four
Fig. 4 is a flowchart of a quality anomaly recording method in the fourth embodiment of the present invention, and the technical solution of the present embodiment is applied to a quality anomaly recording system, and is suitable for a case where a forensic picture of an unqualified product is acquired by an AR device. A quality anomaly recording method provided by the fourth embodiment of the present invention is described below with reference to fig. 4, including the following steps:
and step 410, the AR equipment acquires a evidence obtaining picture of the unqualified product through the camera.
In this embodiment, the evidence obtaining picture of the unqualified product is obtained through the camera configured on the AR device, specifically, the operator wears the AR device to perform quality detection on the product, and when the product is detected to be not in accordance with the detection standard, the evidence obtaining picture of the unqualified product is obtained through the camera on the AR device, so that later management is facilitated. For example, an operator wears the AR device to detect whether color points exist in the appearance of the product, and when it is detected that the color points exist in the appearance of the product beyond 3, the product is considered to be not in accordance with the detection standard, and at this time, the AR device may be instructed to take a photo for evidence of the unqualified product by initiating a voice instruction, for example, inputting "take a photo for evidence" through a microphone, so as to obtain a forensic picture.
And step 420, uploading the evidence obtaining picture to a background system by the AR device.
In this embodiment, the AR device uploads the forensic picture to the background system through the audio/video transmission module, so as to store and process the forensic picture through the background system.
And 430, classifying the evidence-obtained pictures by the background system.
In this embodiment, the backstage system stores the pictures of collecting evidence after receiving the pictures of collecting evidence that AR equipment sent, simultaneously, through carrying out cluster analysis to the pictures of collecting evidence, realizes the classification to the pictures of collecting evidence. Exemplarily, the classification can be carried out according to the unqualified types of the products corresponding to the evidence obtaining pictures, and the later-stage management and the query are facilitated.
According to the technical scheme of the embodiment of the invention, the evidence obtaining picture of the unqualified product is obtained through the camera on the AR equipment, the evidence obtaining picture is uploaded to the background system, and then the background system is used for classifying the evidence obtaining picture, so that on one hand, both hands of an operator are liberated, the evidence obtaining picture can be directly uploaded to the background system, the operation is visual and clear, the quality inspection efficiency and the accuracy of quality inspection operation of the operator are improved, and on the other hand, the background system is used for performing cluster analysis on the evidence obtaining picture to generate the quality abnormity database, so that the follow-up query, evidence obtaining and supervision management work of managers are facilitated.
EXAMPLE five
Fig. 5 is a schematic structural diagram of a quality anomaly recording apparatus according to a fifth embodiment of the present invention, including: an image acquisition module 510 and an audio video transmission module 520.
The image acquisition module 510 is configured to acquire a forensics picture of the unqualified product through a camera on the AR device;
and the audio and video transmission module 520 is configured to upload the forensic pictures to a background system, so that the forensic pictures are classified by the background system.
According to the technical scheme of the embodiment of the invention, the evidence obtaining picture of the unqualified product is obtained through the camera on the AR equipment, and the evidence obtaining picture is uploaded to the background system so as to be classified and processed through the background system, on one hand, both hands of an operator are liberated, and the efficiency of the operator is improved, on the other hand, the evidence obtaining picture can be directly uploaded to the background system, so that the method is visual and clear, the quality abnormal condition is not required to be fed back to a quality inspection department in a quality inspection sheet filling mode, and the quality abnormal recording efficiency and the quality inspection accuracy are further improved.
Optionally, the image obtaining module 510 includes:
the information display unit is used for displaying the information of the quality inspection flow and the quality inspection standard which is stored in the AR equipment in advance so as to prompt an operator to carry out quality detection on the product according to the information of the quality inspection flow and the quality inspection standard;
the quality inspection process comprises all quality inspection items of a product and an execution sequence of all quality inspection items, and the quality inspection standard comprises a qualification standard of the quality inspection items;
and the image acquisition unit is used for shooting the target product and acquiring a forensics picture of the target product when at least one quality inspection item of the target product does not accord with the quality inspection standard.
Optionally, the image obtaining unit is specifically configured to:
when at least one quality inspection item of a target product does not meet the quality inspection standard, responding to a record starting instruction initiated by an operator, shooting the target product, and acquiring a evidence obtaining picture of the target product;
wherein, the recording starting instruction comprises a key instruction or a voice instruction.
Optionally, the quality anomaly recording apparatus further includes:
the information display module is used for displaying the evidence obtaining picture through a lens on the AR equipment;
the standard judgment module is used for judging whether the evidence obtaining picture meets the standard or not;
and the image acquisition module 510 acquires the evidence-taking picture again through the camera when the evidence-taking picture does not meet the standard.
Optionally, the quality anomaly recording apparatus further includes:
the audio and video transmission module is used for recording the quality inspection operation of an operator through a camera of the AR equipment, acquiring video information of the quality inspection operation and sending the video information to the background system;
and the voice interaction module is used for playing prompt voice of wrong quality inspection operation when receiving the information that the quality inspection operation of the operator is abnormal, which is sent by the background system based on the video information.
The quality abnormity recording device provided by the embodiment of the invention can execute the quality abnormity recording method provided by any embodiment of the invention, and has corresponding functional modules and beneficial effects of the execution method.
EXAMPLE six
Fig. 6 is a schematic structural diagram of an AR device according to a sixth embodiment of the present invention, and as shown in fig. 6, the electronic device includes a processor 60 and a memory 61; the number of processors 60 in the device may be one or more, and one processor 60 is taken as an example in fig. 6; the processor 60 and the memory 61 in the device may be connected by a bus or other means, as exemplified by the bus connection in fig. 6.
The memory 61 is a computer-readable storage medium, and can be used for storing software programs, computer-executable programs, and modules, such as program instructions/modules corresponding to a quality abnormality recording method in the embodiment of the present invention (for example, the image acquisition module 510 and the audio/video transmission module 520 in the quality abnormality recording apparatus). The processor 60 executes various functional applications of the apparatus and data processing by running software programs, instructions, and modules stored in the memory 61, that is, implements the quality abnormality recording method described above.
The method comprises the following steps:
obtaining a evidence obtaining picture of the unqualified product through a camera on the AR equipment;
and uploading the evidence obtaining picture to a background system so as to classify and process the evidence obtaining picture through the background system.
The memory 61 may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application program required for at least one function; the storage data area may store data created according to the use of the terminal, and the like. Further, the memory 61 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some examples, the memory 61 may further include memory located remotely from the processor 60, which may be connected to the device over a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
Optionally, the AR device further includes a camera 62, a lens 63, a microphone 64, and a speaker 65;
the camera 62 is used for recording the quality inspection operation of the operator, acquiring video information of the quality inspection operation, and acquiring a forensic picture.
Wherein, camera 62 is installed in AR equipment dead ahead for when the operator carries out the quality control operation of operator carry out the video recording, acquire the video information of quality control operation, be convenient for to verify whether the quality control operation of operator accords with the standard, further, when at least one quality control project of target product does not accord with the quality control standard, camera 62 responds to operator's record start-up instruction, shoots the target product, acquires the picture of collecting evidence of target product.
The lens 63 is configured to display information of a quality inspection process and a quality inspection standard stored in the AR device in advance, and display the forensic image.
Wherein, the lens 63 of AR equipment is used for on the one hand showing the information of quality control flow and the quality control standard of saving in AR equipment in advance, and the suggestion operator carries out quality testing according to quality control flow and quality control standard, and on the other hand is used for showing the picture of collecting evidence, makes things convenient for the operator to judge whether the picture of collecting evidence of current shooting accords with the standard of shooing, for example, whether clear, whether shoot comprehensively etc..
The microphone 64 is used for collecting voice commands input by an operator.
The microphone 64 is mainly used for collecting voice commands input by an operator, for example, collecting "evidence taking by taking a picture" command initiated by the operator when detecting that a certain product does not meet the detection standard.
The speaker 65 is configured to play a prompt voice of an error in quality inspection operation when the AR device receives a message that the quality inspection operation of the operator is irregular, which is sent by the background system based on the video information.
The speaker 65 is configured to play quality inspection related information to the operator, for example, play a prompt voice of an error in quality inspection operation when the AR device receives a message that the quality inspection operation of the operator is irregular, which is sent by the background system based on the video information.
EXAMPLE seven
Fig. 7 is a schematic structural diagram of a quality anomaly recording system according to a seventh embodiment of the present invention, including: AR device 1 and background system 2;
the AR equipment 1 is used for obtaining the evidence obtaining picture of the unqualified product through the camera and sending the evidence obtaining picture to the background system.
The AR equipment is double-display glasses, is provided with a camera 62, a lens 63, a microphone 64, a loudspeaker 65, a memory 61 and a processor 60, and is used for acquiring evidence-taking pictures of unqualified products through the camera and sending the evidence-taking pictures to a background system; on the other hand, the AR device is further configured to record the quality inspection operation of the operator, acquire video information of the quality inspection operation, and send the video information to the background system in the process of performing the quality inspection operation by the operator.
And the background system 2 is used for carrying out classification processing on the evidence obtaining pictures.
The background system 2 is used for classifying the forensic pictures, and includes a background data management subsystem 21, a device management subsystem 22, and an intelligent analysis subsystem 23. The background data management subsystem 21 is used for storing the forensic data uploaded by the AR device; the equipment management subsystem 22 is used for initializing the AR equipment and binding the AR equipment with the work number of an operator so as to facilitate subsequent management; the intelligent analysis subsystem 23 is used for processing the evidence data, generating a quality abnormity database, processing the video information, judging whether the quality inspection operation of the operator is matched with the quality inspection operation standard, and improving the accuracy of the quality inspection operation.
Specifically, the background data management subsystem 21 includes an account management module 211, a log management module 212, a data management module 213, and a data storage module 214. The account management module 211 is configured to store and manage a login account of the AR device 1 connected to the background system 2 through a network; the log management module 212 is configured to record an operation log of the background system 2; the data management module 213 is configured to perform preliminary processing on the received forensic picture or video information; the data storage module 214 is configured to store the received forensic picture or video information.
The device management subsystem 22 includes a device configuration module 221, a device management module 222, and an industrial information data interface module 223. The device configuration module 221 is configured to perform basic parameter configuration on the AR device 1; the device management module 222 is configured to manage the authority and the login account of the AR device 1; the industrial information data interface module 223 is used for configuring data transmission authority and data transmission parameters of the AR device 1 and the system background 2.
The intelligent analysis subsystem 23 includes a video cluster analysis module 231, a video retrieval module 232, an image cluster analysis module 233, and an image retrieval module 234. The video clustering module 231 is configured to perform clustering analysis on the video information uploaded by the AR device 1; the video retrieval module 232 is used for responding to the video retrieval operation of the user and retrieving video information according to the set retrieval condition; the image clustering analysis module 233 is configured to perform clustering analysis on the forensic images uploaded by the AR device; the image retrieval module 234 is used for responding to the image retrieval operation of the user and retrieving the evidence-taking picture according to the set retrieval condition.
According to the technical scheme of the embodiment of the invention, the evidence obtaining picture of the unqualified product is obtained through the camera on the AR equipment, the evidence obtaining picture is uploaded to the background system, and then the background system is used for classifying the evidence obtaining picture, so that on one hand, both hands of an operator are liberated, the evidence obtaining picture can be directly uploaded to the background system, the operation is visual and clear, the quality inspection efficiency and the accuracy of quality inspection operation of the operator are improved, and on the other hand, the background system is used for performing cluster analysis on the evidence obtaining picture to generate the quality abnormity database, so that the follow-up query, evidence obtaining and supervision management work of managers are facilitated.
Example eight
An eighth embodiment of the present invention also provides a computer-readable storage medium having stored thereon a computer program for executing a quality anomaly recording method when executed by a computer processor, the method including:
obtaining a evidence obtaining picture of the unqualified product through a camera on the AR equipment;
and uploading the evidence obtaining picture to a background system so as to classify and process the evidence obtaining picture through the background system.
From the above description of the embodiments, it is obvious for those skilled in the art that the present invention can be implemented by software and necessary general hardware, and certainly, can also be implemented by hardware, but the former is a better embodiment in many cases. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which can be stored in a computer-readable storage medium, such as a floppy disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a FLASH Memory (FLASH), a hard disk or an optical disk of a computer, and includes several instructions for enabling a computer device (which may be a personal computer, a server, or a network device) to execute the methods according to the embodiments of the present invention.
It should be noted that, in the embodiment of the quality anomaly recording apparatus, the units and modules included in the apparatus are only divided according to functional logic, but are not limited to the above division as long as the corresponding functions can be implemented; in addition, specific names of the functional units are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present invention.
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.
Claims (14)
1. A quality anomaly recording method is applied to an Augmented Reality (AR) device, and comprises the following steps:
obtaining a evidence obtaining picture of the unqualified product through a camera on the AR equipment;
and uploading the evidence obtaining picture to a background system so as to classify and process the evidence obtaining picture through the background system.
2. The method of claim 1, wherein said obtaining a forensic picture of a rejected product comprises:
displaying information of a quality inspection flow and a quality inspection standard which are pre-stored in the AR equipment so as to prompt an operator to carry out quality detection on a product according to the information of the quality inspection flow and the quality inspection standard;
the quality inspection process comprises all quality inspection items of a product and an execution sequence of all quality inspection items, and the quality inspection standard comprises a qualification standard of the quality inspection items;
and when at least one quality inspection item of the target product does not meet the quality inspection standard, shooting the target product to obtain a forensics picture of the target product.
3. The method of claim 2, wherein when at least one quality inspection item of a target product does not meet the quality inspection standard, taking a picture of the target product to obtain a forensic picture of the target product comprises:
when at least one quality inspection item of a target product does not meet the quality inspection standard, responding to a record starting instruction initiated by an operator, shooting the target product, and acquiring a evidence obtaining picture of the target product;
wherein, the recording starting instruction comprises a key instruction or a voice instruction.
4. The method of claim 1 or 3, further comprising:
displaying the forensic picture through a lens on the AR device;
judging whether the evidence-taking picture meets the standard or not;
and if not, acquiring the evidence obtaining picture again through the camera.
5. The method of claim 2, further comprising:
recording the quality inspection operation of an operator through a camera of the AR equipment, acquiring video information of the quality inspection operation, and sending the video information to the background system;
and when receiving a message that the quality inspection operation of the operator is irregular, which is sent by the background system based on the video information, playing a prompt voice of the quality inspection operation error.
6. A quality anomaly recording method is applied to a background system, and comprises the following steps:
receiving a evidence-obtaining picture of an unqualified product uploaded by the AR equipment;
performing cluster analysis on the evidence-obtained pictures, and constructing a quality abnormity database according to an analysis result;
wherein the quality anomaly database contains forensic pictures of all quality anomaly types.
7. The method of claim 6, further comprising, prior to receiving the forensic picture of the rejected product uploaded by the AR device:
and initializing the AR equipment, and binding the AR equipment and the job number of the operator.
8. The method of claim 7, further comprising:
receiving video information of quality inspection operation sent by the AR equipment;
judging whether the quality inspection operation of the operator is matched with the quality inspection operation specification or not according to the video information;
and if not, sending a message that the quality inspection operation of the operator is not standard to the AR equipment.
9. A quality anomaly recording method, comprising:
the AR equipment acquires a evidence obtaining picture of the unqualified product through the camera;
the AR equipment uploads the evidence obtaining picture to a background system;
and the background system classifies the evidence-obtaining pictures.
10. A quality abnormality recording apparatus, comprising:
the image acquisition module is used for acquiring a evidence obtaining picture of the unqualified product through a camera on the AR equipment;
and the audio and video transmission module is used for uploading the evidence obtaining pictures to a background system so as to classify and process the evidence obtaining pictures through the background system.
11. An AR device, comprising:
one or more processors;
a storage device for storing one or more programs,
when executed by the one or more processors, cause the one or more processors to implement the method of any one of claims 1-5.
12. The apparatus of claim 11, further comprising: the device comprises a camera, a lens, a microphone and a loudspeaker;
the camera is used for recording the quality inspection operation of an operator, acquiring video information of the quality inspection operation and acquiring a evidence obtaining picture;
the lens is used for displaying information of a quality inspection process and a quality inspection standard which are stored in the AR equipment in advance and displaying the evidence obtaining picture;
the microphone is used for collecting voice instructions input by an operator;
and the loudspeaker is used for playing prompt voice of wrong quality inspection operation when the AR equipment receives the information that the quality inspection operation of the operator is abnormal, which is sent by the background system based on the video information.
13. A quality anomaly recording system, comprising: an AR device and a background system;
the AR equipment is used for acquiring a evidence obtaining picture of the unqualified product through the camera and sending the evidence obtaining picture to the background system;
and the background system is used for carrying out classification processing on the evidence obtaining pictures.
14. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the method according to any one of claims 1 to 5.
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