Disclosure of Invention
In order to improve task allocation efficiency, the invention provides a task distribution method, a system and a terminal based on a zero-work market.
In a first aspect, the present invention provides a task distribution method based on the zero-working market, which adopts the following technical scheme:
a task distribution method based on a zero-work market comprises the following steps:
Acquiring a trigger signal of a preset mobile terminal;
When the trigger signal is consistent with a preset searching signal, controlling the mobile terminal to carry out article shooting prompt so as to obtain article image information;
determining the characteristics of the objects in the graph according to the object image information;
determining whether a preset field database contains an article corresponding to the article characteristic in the graph or not;
If the field database contains the object corresponding to the object characteristic in the graph, determining a specific shooting object according to the object characteristic in the graph;
Determining proper working fields and proper field quantity according to specific shot objects;
And when the number of the proper fields does not exceed the preset excessive number of the fields, controlling the mobile terminal to display the working content of the proper working field according to the proper working field.
By adopting the technical scheme, when the trigger signal is consistent with the search signal, the user is guided to shoot the object, so that the object image information is obtained. Then, the characteristics of the article are determined according to the image, and the matching article is searched in the field database. If matching objects exist, the objects are further specifically shot, and then the proper working fields and quantity are determined. When the number of the proper fields is in a reasonable range, the working content of the corresponding working field is displayed to the user, so that the problem of low task allocation efficiency in the traditional mode is effectively solved, and the efficiency of zero-work market task allocation is improved.
Optionally, the method further comprises a domain quantity reduction method:
Controlling the mobile terminal to report keyword input prompts and acquiring screen image information of the mobile terminal when the number of the suitable fields exceeds the preset excessive number of the fields;
determining the position of an input frame according to the screen image information and preset input frame characteristics;
Determining text input content according to screen image information, the position of an input frame and preset text features;
updating the proper working field according to the text input content and the specific shooting objects;
and controlling the mobile terminal to display the working content based on the updated proper working field.
Optionally, the method further comprises the step of controlling the mobile terminal to carry out article shooting prompt so as to obtain article image information:
if the field database does not contain the object corresponding to the object feature in the graph, controlling the mobile terminal to carry out gesture shooting prompt so as to obtain a working gesture video;
describing the content in a true gesture according to the working gesture video;
Determining the work content of the article according to the gesture description content and the characteristics of the article in the drawing;
Determining a proper working field according to the work content of the article;
and controlling the mobile terminal to display the working content based on the proper working field, and inputting the corresponding relation between the object characteristics in the figure and the proper working field into the field database to update the field database.
Optionally, the method further comprises a correction method of a proper working field:
Obtaining a video background image based on the work gesture video;
when the video background image contains preset working equipment characteristics, determining background working equipment according to the video background image and the working equipment characteristics;
Determining a reference working device according to the work content of the article;
determining a working difference degree according to the reference working equipment and the background working equipment when the reference working equipment is inconsistent with the background working equipment;
Controlling the mobile terminal to display the recommendation of the working content in the proper working field based on the working difference degree not exceeding the preset reference difference degree;
when the working difference exceeds a preset reference difference, correcting the proper working field according to background working equipment, gesture description content and object characteristics in the graph;
and controlling the mobile terminal to display the working content recommendation in the corrected proper working field, and inputting the corresponding relation between the object characteristics in the graph and the corrected proper working field into the field database to update the field database.
Optionally, the method further comprises the steps of:
Determining an article manufacturing procedure and the number of article procedures according to the specific shot articles when the specific shot articles are the preset industrial manufactured articles;
Determining an actual manufacturing procedure according to the object manufacturing procedure and gesture description contents when the number of the object procedures is larger than 1;
determining proper working contents and the number of the working contents according to the actual manufacturing procedure;
When the number of the working contents is not larger than the preset reference working number, determining similar working contents according to the proper working contents and the proper working fields;
and controlling the mobile terminal to display the proper working content and the similar working content.
Optionally, the method further comprises a non-genetic treatment method:
controlling the mobile terminal to carry out article making prompt based on the specific shot article as a preset hand-made article so as to obtain an article making video;
Judging whether the specific shot object is a preset non-remains object or not based on a preset skill database;
if the specific shot object is a non-remains object, judging whether a preset non-transmission process exists in the specific shot object or not based on a preset non-genetic database;
If the non-transmission process exists, determining an article manufacturing process according to the specific shot articles;
determining video coding fragments according to the article making video, the article making process and the non-transmission process;
coding the video of the object production based on the video coding segment.
Optionally, the method further comprises a skill rating method:
determining article making duration according to the article making video after the article making video is obtained;
Determining a reference manufacturing duration according to the specific shot object;
calculating a difference value between the reference manufacturing time length and the article manufacturing time length as a time length difference value when the reference manufacturing time length is inconsistent with the article manufacturing time length;
Determining a skill rating according to the duration difference value;
determining whether a preset teaching database contains teaching videos of the hand-made articles or not based on the fact that the skill rating is lower than a preset reference rating;
and if the manual article is included, controlling the mobile terminal to display the teaching video corresponding to the manual article.
Optionally, the method further comprises a character verification method:
determining whether a work gesture video contains preset face features or not;
If the working gesture video contains the face features, determining whether the face features are consistent with preset reference face features;
reporting a person abnormal prompt when the face features are inconsistent with the reference face features;
If the working gesture video does not contain the face features, determining hand features according to the working gesture video;
Reporting a person abnormal prompt when the hand characteristics are inconsistent with the preset reference hand characteristics.
In a second aspect, the present application provides a task distribution system based on the zero-job market, which adopts the following technical scheme:
a zero-job market based task distribution system comprising:
The acquisition module is used for acquiring the trigger signal and the screen image information;
a memory for storing a program of any of the above-described zero-market-based task distribution methods;
And the processor is used for loading and executing the programs stored in the memory.
In a third aspect, the present application provides a terminal, which adopts the following technical scheme:
A terminal comprising a memory and a processor, the memory having stored thereon a task distribution method capable of being loaded by the processor and executing any one of the above-described zero-market based task distribution methods.
In summary, the present application includes at least one of the following beneficial technical effects:
1. And when the trigger signal is consistent with the search signal, guiding a attendant to shoot the object, so as to acquire object image information. Then, the characteristics of the article are determined according to the image, and the matching article is searched in the field database. If matching objects exist, the objects are further specifically shot, and then the proper working fields and quantity are determined. When the number of the proper fields is in a reasonable range, the working content of the corresponding working field is displayed to the user, so that the problem of low task allocation efficiency in the traditional mode is effectively solved, and the efficiency of zero-work market task allocation is improved;
2. When the object corresponding to the object characteristic in the graph does not exist in the field database, the worker is guided to carry out gesture shooting, and a working gesture video is obtained. And then determining gesture description contents according to the videos, and determining article working contents according to article characteristics, thereby determining proper working fields. And then, controlling the mobile terminal to display the content of the working field, and inputting the corresponding relation between the object characteristics in the graph and the proper working field into a field database for updating so as to provide more task choices for the crews. Meanwhile, the updating of the database continuously perfects information storage, thereby being beneficial to the follow-up more accurate and efficient task allocation;
3. When the specific shot object is a hand-made object, the mobile terminal is controlled to acquire an object making video. And then judging whether the article is a non-remains article or not by utilizing the skill database, and if the article is the non-remains article, judging whether the non-remains article has an unremitting process or not according to the non-remains database. If the non-transmission process exists, determining an article manufacturing process, and then determining video coding fragments by combining the article manufacturing video, the manufacturing process and the non-transmission process, so that the display and the non-genetic protection of the hand-made articles are considered in the distribution of the retail market tasks. Not only can the crews participate in related work, but also the non-transmission technology in the non-remains can be protected from being randomly transmitted by determining the coding fragments, the relation between cultural inheritance and market application is balanced, and reasonable protection and inheritance of non-genetic culture are promoted while the task allocation efficiency is improved.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples.
Referring to fig. 1, the embodiment of the application discloses a task distribution method based on a zero-work market, which comprises the following steps:
and 100, acquiring a trigger signal of a preset mobile terminal.
The mobile terminal refers to an electronic device that a attendant can use in a mobile state. In this embodiment, the mobile terminal is a mobile phone. The trigger signal refers to a signal generated by a attendant by touching, clicking or other interactive operations on the screen of the mobile terminal. The trigger information is obtained through a controller chip on the mobile terminal. The mobile terminal is provided with a touch sensor, and after the touch sensor converts touch information into electric signals, the signals are transmitted to the controller chip. The controller chip processes and analyzes the signals, recognizes the touch position, and converts the touch position into instructions which can be understood and processed by the mobile terminal.
And 101, controlling the mobile terminal to carry out article shooting prompt so as to obtain article image information when the trigger signal is consistent with a preset searching signal.
The searching signal is a signal generated when a worker clicks a screen of the mobile terminal to indicate that the user has a searching operation requirement. The article shooting prompt is a prompt sent by the mobile terminal and used for shooting articles related to the field which is good for the crews. Both the search signal and the item capture prompt are preset by those skilled in the art, and will not be described in detail herein. The article image information is an image of an article photographed by a attendant. The object image information is obtained by controlling the mobile terminal to shoot through a attendant.
When the trigger signal is consistent with the search signal, the attendant needs to search for zero workers and needs to control the mobile terminal to carry out article shooting prompt, so that the attendant can shoot images of articles related to the field good for himself so as to obtain article image information, and the subsequent steps can be facilitated.
Step 102, determining the characteristics of the objects in the graph according to the object image information.
The object features in the figure refer to outline features of the object in the image. The characteristics of the articles in the image can be obtained by scanning and identifying the articles in the image information of the articles. The image recognition technology is common knowledge of a person skilled in the art, and is not described herein.
Step 103, determining whether a preset domain database contains an article corresponding to the article characteristic in the graph.
The field database contains different objects corresponding to the object features in different figures. The field database is formed by the fact that the technical personnel in the field make one-to-one correspondence between the object features in different figures and corresponding objects in advance, and then the corresponding relations are recorded to form the database, and specific correspondence and recording processes are not described herein.
Whether a specific shot object can be matched or not is known by judging whether the object corresponding to the object characteristic in the image is contained in the field database or not.
Step 104, if the field database contains the object corresponding to the object characteristic in the graph, determining the specific shot object according to the object characteristic in the graph.
The specific shot object refers to a specific class of objects shot by a attendant. The specific shot objects corresponding to the object features in the graph can be matched through the field database, and the field database comprises the corresponding relation between the object features and the specific shot objects in the graph.
If the field database contains the object corresponding to the object feature in the graph, the specific shooting object can be determined through the object feature in the graph, and the specific shooting object can be directly matched.
Step 105, determining the proper working area and the proper area quantity according to the specific shot object.
The suitable working field refers to a field suitable for working of the attendant. The appropriate number of fields refers to the number of fields appropriate for the task of the attendant. The appropriate working fields corresponding to the specific shooting objects can be matched through the field database, and corresponding association information of various objects and relevant working fields is recorded in the database. After a specific shot object is determined, the object is used as a search keyword, and accurate query is performed in the field database, so that all proper working fields corresponding to the object can be rapidly screened out. And then carrying out accumulated counting on all the proper working fields so as to obtain the proper field number.
And step 106, controlling the mobile terminal to display the working content of the proper working field according to the proper working field when the number of the proper fields does not exceed the preset excessive number of the fields.
The excessive number of fields refers to a number of excessive numbers of matched proper working fields. The excessive number of fields is set in advance by those skilled in the art, and will not be described here.
When the number of the proper fields does not exceed the excessive number of the fields, the matched number of the proper working fields is not excessive, and the mobile terminal can be directly controlled to display the corresponding working contents of the proper working fields, so that the working personnel can select the working contents.
Referring to fig. 2, the domain number reduction method includes the steps of:
and 200, controlling the mobile terminal to report keyword input prompts and acquiring screen image information of the mobile terminal based on the condition that the number of the proper fields exceeds the preset excessive number of the fields.
The keyword input prompt means a prompt for prompting a attendant to input a keyword. The keyword input prompt is preset by a person skilled in the art, and will not be described here. The screen image information refers to an image of a current screen of the mobile terminal. The screen image information is obtained through screenshot of the mobile terminal.
When the number of the proper fields exceeds the number of the excessive fields, the matched proper working fields are required to be controlled to report the keyword input prompt, and then the screen image information of the mobile terminal is acquired for the subsequent steps.
Step 201, determining the position of an input box according to the screen image information and the preset input box characteristics.
The input box feature refers to an outline feature of an input box for inputting a keyword. The input box features are preset by those skilled in the art, and will not be described here. The input box position refers to a position of the input box on the screen. The input box position can be obtained by identifying the input box feature in the screen image information. The image recognition technology is common knowledge in the art, and is not described herein.
And 202, determining text input content according to the screen image information, the input frame position and the preset text characteristics.
The character feature is an outline feature of characters input in the input box. The character features are preset by those skilled in the art and will not be described here. The text input content refers to text content in an input box. The text input content can be obtained by identifying the text features at the input box positions in the screen image information. The image recognition technology is common knowledge in the art, and is not described herein.
And 203, updating the proper working field according to the text input content and the specific shot object.
The proper working fields corresponding to the specific shooting objects and the text input content are matched again through the field database, so that the proper working fields are updated, and the number of the working fields is further reduced.
Corresponding association information of specific shooting objects, text input contents and proper working fields is recorded in the database. After the specific shot articles and text input contents are determined, the articles and the text input contents are used as search keywords, and the accurate query is performed in the field database, so that all the proper working fields corresponding to the articles and the text input contents can be rapidly screened out.
And 204, controlling the mobile terminal to display the working content based on the updated proper working field.
And controlling the mobile terminal to display the updated working content corresponding to the proper working field so as to be selected by the attendant.
Referring to fig. 3, the method further comprises the step of after controlling the mobile terminal to carry out article shooting prompt so as to obtain article image information:
And 300, if the field database does not contain the object corresponding to the object feature in the graph, controlling the mobile terminal to carry out gesture shooting prompt so as to obtain a working gesture video.
The gesture shooting prompt is a prompt for prompting a attendant to gesture and describe the working content of the attendant. The gesture capturing prompt is set in advance by a person skilled in the art, and will not be described here. The working gesture video is a video in which a crewmember performs gesture description on the working content.
When the field database does not contain the object corresponding to the object feature in the graph, the fact that the specific shot object can not be determined through the object feature in the graph is explained, the mobile terminal is required to be controlled to carry out gesture shooting prompt, so that a worker is prompted to shoot a working gesture video, and further the working gesture video shot by the worker is obtained.
Step 301, describing the content according to the working gesture video in a true gesture.
Gesture descriptions refer to specific information about work content conveyed by a crewmember in a work gesture video through hand motions and gestures. The method comprises the steps of firstly completing noise reduction and deblurring pretreatment on a working gesture video, positioning and dividing the hand by using a target detection algorithm, extracting geometric, motion and appearance characteristics of the hand, inputting the geometric, motion and appearance characteristics into a trained gesture classification model, and identifying gesture description content. The target detection algorithm is common knowledge in the art and will not be described here in detail. The gesture classification model is trained by a person skilled in the art in advance, and will not be described here.
Step 302, determining the work content of the article according to the gesture description content and the characteristics of the article in the figure.
The work content of the article refers to the specific work condition and task content related to the article by the attendant. The work content of the article related to the article can be determined by combining the information about the work, which is conveyed by the crewmember through gesture description, and the characteristic information of the article, which is extracted from the image of the article.
Step 303, determining a proper working field according to the work content of the article.
This step is similar to step 105 described above and will not be described here.
And 304, controlling the mobile terminal to display the working content based on the proper working field, and inputting the corresponding relation between the object characteristics in the figure and the proper working field into the field database to update the field database.
And controlling the mobile terminal to display the working content corresponding to the proper working field, and inputting the corresponding relation between the object characteristics in the diagram and the proper working field into the field database so as to update the field database.
Referring to fig. 4, a correction method for a suitable work area includes the steps of:
step 400, obtaining a video background image based on the working gesture video.
The video background image refers to a background image in the work gesture video. By analyzing the working gesture video frame by frame, the foreground (the hand action part of the attendant) and the background in each frame of image in the video are separated by utilizing an image segmentation technology, so that a video background image can be obtained. The image segmentation technique is common knowledge in the art, and will not be described here in detail.
Step 401, determining background working equipment according to the video background image and the working equipment characteristics when the video background image contains the preset working equipment characteristics.
The working equipment features are features of equipment used when carrying out related work on specific shooting objects. The features of the working device are preset by those skilled in the art, and will not be described here. Background work equipment refers to specific equipment used by a attendant for carrying out related work on specific photographed articles. The background working equipment corresponding to the working equipment features is matched from a preset equipment database by carrying out image recognition on the working equipment features in the video background image. The database stores different background working devices corresponding to various different working device characteristics. The device database is a database set manually, and will not be described here.
When the video background image contains the characteristics of the working equipment, the fact that the equipment used for carrying out related work on a specific shooting object is available is described that the specific background working equipment needs to be determined firstly so as to facilitate the follow-up steps.
Step 402, determining a reference working device according to the work content of the article.
Reference work equipment refers to equipment which is determined according to the work content of an article, plays a key role in completing work related to the article, and is used as a main operation tool. The reference working equipment corresponding to the article working content can be matched through the equipment database, and different reference working equipment corresponding to various different article working contents are stored in the database.
Step 403, determining the working difference degree according to the reference working equipment and the background working equipment when the reference working equipment is inconsistent with the background working equipment.
The working difference degree refers to the degree of difference between the reference working equipment and the background working equipment in terms of equipment type, functions, performance, operation mode, applicable scene and the like when the reference working equipment is inconsistent with the background working equipment. The working difference degrees corresponding to the reference working equipment and the background working equipment can be matched through a preset difference database, different working difference degrees corresponding to various different reference working equipment and background working equipment are stored in the database, and the difference database is formed by sequentially measuring and then recording different reference working equipment and background working equipment by a person skilled in the art, and details are omitted here.
And step 404, controlling the mobile terminal to display the working content recommendation in the proper working field based on the working difference degree not exceeding the preset reference difference degree.
The reference variability refers to the maximum value that the working variability is allowed to reach. The reference difference is preset by a person skilled in the art, and will not be described here.
When the working difference degree does not exceed the reference difference degree, the working content difference between the working difference degree and the reference difference degree is not large, and the mobile terminal is directly controlled to display the working content for recommendation in the proper working field.
And 405, correcting the proper working field according to the background working equipment, the gesture description content and the object characteristics in the figure when the working difference exceeds the preset reference difference.
When the working difference exceeds the reference difference, the working content difference between the working difference and the reference difference is too large, and the appropriate working field needs to be corrected first so as to facilitate the follow-up steps. The correction method is the same as that of step 203, and will not be described here.
Step 406, controlling the mobile terminal to display the working content recommendation in the corrected proper working field, and inputting the corresponding relation between the object characteristics in the graph and the corrected proper working field into the field database to update the field database.
And controlling the mobile terminal to advance by displaying working contents in the corrected proper working field, and inputting the corresponding relation between the object characteristics in the graph and the corrected proper working field into the field database so as to update the field database.
Referring to fig. 5, the process reduction method includes the steps of:
and 500, determining the article manufacturing process and the number of article processes according to the specific shot articles when the specific shot articles are the preset industrial manufactured articles.
The industrial manufactured articles are produced through a series of working procedures such as processing, manufacturing, assembling and the like according to certain design requirements and quality standards by utilizing various raw materials, mechanical equipment, process technologies and the like in an industrial production mode. The article-making process refers to a series of specific operational steps that are undergone by the raw materials to convert into the final industrially manufactured article. The number of article processes refers to the specific number of processes involved in completing the production of the industrially manufactured article.
The number of the article manufacturing procedures and the number of the article procedures corresponding to the specific shooting articles can be matched through a preset procedure database, and different article manufacturing procedures and the number of the article procedures corresponding to various specific shooting articles are stored in the database. The process database is formed by sequentially testing different specific photographed articles by a person skilled in the art and then recording the same, and will not be described here.
When a specific shot object is an industrially manufactured object, the object manufacturing process and the number of object processes need to be determined first so as to facilitate the subsequent steps.
Step 501, determining an actual manufacturing procedure according to the object manufacturing procedure and the gesture description content when the number of the object manufacturing procedures is larger than 1.
The actual manufacturing process refers to the specific operational flow and steps that the attendant experiences when making the article. The actual manufacturing process is obtained by knowing the actual operation information transmitted by the gesture description content of the object itself and obtaining the actual sequence of operation steps actually executed for producing the specific shot object.
When the number of the working procedures of the article is more than 1, a plurality of steps are needed for manufacturing the article, and the actual manufacturing working procedure is needed to be determined first so as to be convenient for the subsequent steps.
Step 502, determining proper working content and quantity of the working content according to the actual manufacturing procedure.
The appropriate work content refers to a specific work task that matches and adapts to the operation performed by the attendant based on the actual manufacturing process. The number of work contents refers to the number of specific work tasks that match the operations performed by the crew member based on the actual manufacturing process. The appropriate working content corresponding to the actual manufacturing procedure can be matched through the field database, and corresponding association information of various actual manufacturing procedures and the appropriate working content is recorded in the database. After the actual manufacturing process is determined, the manufacturing process is used as a search keyword, and accurate query is performed in the field database, so that all the proper working contents corresponding to the manufacturing process can be quickly screened out. And then carrying out accumulated counting on all the proper working contents so as to obtain the proper field number.
And 503, determining similar work contents according to the proper work contents and the proper work fields when the number of the work contents is not larger than the preset reference work number.
The reference work amount refers to an amount set for comparing whether the work content amount is sufficient. The reference work amount is set in advance by those skilled in the art, and will not be described here. Similar work content refers to other work tasks which are determined to have similarity with the current proper work content of the attendant in terms of properties, skill requirements, operation procedures, work targets and the like according to the proper work content of the attendant and the proper work field in which the attendant is located when the number of the work content is insufficient.
The method comprises the steps of matching proper working contents with similar working contents corresponding to proper working fields through a preset working database, wherein various proper working contents and different similar working contents corresponding to the proper working fields are stored in the database. The working database is formed by sequentially recording different suitable working contents and suitable working fields by a person skilled in the art, and will not be described here.
And 504, controlling the mobile terminal to display the proper working content and the similar working content.
And controlling the mobile terminal to display the proper working content and the similar working content for the attendant to choose.
Referring to fig. 6, the non-genetic processing method includes the steps of:
And 600, controlling the mobile terminal to carry out article making prompt so as to obtain article making videos based on the fact that the specific shot article is a preset hand-made article.
The hand-made articles are manufactured by mainly relying on hand skills and hand tools, rather than large-scale mechanical production equipment, and processing raw materials into the manufactured articles through creative, design and manual operations of manufacturers. The article creation prompt is a prompt for prompting a attendant to take a video shot of creating a manual article. The item making prompts are preset by those skilled in the art, and will not be described here. The article making video refers to the video of making a manual article by a attendant. The object making video is recorded by the mobile terminal.
When the specific shot object is a hand-made object, the mobile terminal is controlled to prompt the object making, so that the staff is prompted to shoot an object making video, and further, the object making video shot by the staff is obtained.
Step 601, judging whether the specific shooting object is a preset non-remains object or not based on a preset skill database.
The non-remains are hand-made artwork related to non-material cultural heritage. The non-remains are preset by those skilled in the art and will not be described here.
The content of the subsequent step 602 is known by determining from the skill database whether the particular shot item is a non-remains item. Different non-remains corresponding to various specific shooting objects are stored in the handcraft database. The handcraft database is formed by sequentially recording all non-remains by a person skilled in the art, and will not be described here.
Step 602, if the specific shot object is a non-remains object, judging whether a preset non-transmission process exists in the specific shot object based on a preset non-genetic database.
The non-transmission process refers to a unique manufacturing process which is not easy to be transmitted outwards in a non-genetic bearing process. The non-transfer process is preset by a person skilled in the art, and will not be described here.
When the specific shot object is a non-genetic object, whether the specific shot object has an unremitting process or not is described by judging from a non-genetic database so as to know whether coding processing is needed in the object making video. Different non-transmission technologies corresponding to various specific shooting objects are stored in the non-genetic database. The non-genetic database is formed by sequentially recording the non-genetic processes of all non-genetic objects by a person skilled in the art, and will not be described here.
When the specific shot object is not a non-remains object, the object is directly made into a video for disclosure.
If the non-transmission process exists, determining an article manufacturing process according to the specific shot articles.
The article manufacturing process refers to an overall manufacturing process when a specific shot article is manually manufactured. The process database can be matched with the article manufacturing process corresponding to the specific shooting article through a preset process database, different article manufacturing processes corresponding to various specific shooting articles are stored in the database, and the process database can be formed by sequentially recording the article manufacturing processes of different specific shooting articles by a person skilled in the art, so that details are not repeated here.
If the specific shot object has an unfinished process, the object manufacturing process needs to be determined first so as to facilitate the subsequent steps.
Step 604, determining video coding fragments according to the article making video, the article making process and the non-transmission process.
The video coding segment refers to a segment for coding an un-transmitted process in the article making video. The specific flow of the article manufacturing process is carded out by disassembling each frame of image of the article manufacturing video, the video image is compared with the known non-transmission process characteristics one by one, and the part related to the non-transmission process, namely the video coding segment, is accurately positioned.
Step 605, coding the video of the article production based on the video coding fragments.
And controlling the mobile terminal to perform coding processing on the video coding fragments in the article making video. The video coding technique is common knowledge in the art, and will not be described in detail herein.
Referring to fig. 7, the skill rating method includes the steps of:
Step 700, determining the article making duration according to the article making video after the article making video is obtained.
The article making duration refers to the duration used by the attendant to make the article. The article-making duration can be obtained by calculating the time difference between the moment when the attendant begins to perform substantial making operations on the raw materials in the article-making video and the moment when the article is made.
When the article making video is obtained, the article making duration is determined first for the subsequent steps.
Step 701, determining a reference production duration according to a specific shot object.
The reference production time period refers to a reference time period required when producing the article. The reference production duration corresponding to the specific shooting objects can be matched through a preset production database, different reference production durations corresponding to various specific shooting objects are stored in the database, and the production database is formed by sequentially testing and recording the reference production durations corresponding to different specific shooting objects by a person skilled in the art, and details are omitted herein.
Step 702, calculating a difference value between the reference manufacturing time length and the article manufacturing time length as a time length difference value based on the fact that the reference manufacturing time length is inconsistent with the article manufacturing time length.
The time length difference value refers to a difference value between the time length of the attendant making the article and the reference making time length. The difference value of the time length can be obtained by calculating the difference value of the article making time length minus the reference making time length. In this embodiment, the duration difference value may be a negative number. When the duration difference value is negative, the attendant is too fast to manufacture the article.
When the reference manufacturing time length is inconsistent with the article manufacturing time length, a time length difference value needs to be calculated so as to carry out subsequent skill rating on the attendant.
Step 703, determining the skill rating according to the duration difference value.
The skill rating refers to a rating that comprehensively evaluates the skill level exhibited by a attendant in making the item. The process ratings corresponding to the time length difference values can be matched through a preset rating database, different process ratings corresponding to the different time length difference values are stored in the database, and the rating database is formed by sequentially evaluating the different process ratings corresponding to the different time length difference values by a person skilled in the art and then recording the different process ratings, which are not described in detail herein.
Step 704, determining whether the preset teaching database contains the teaching video of the hand-made article or not based on the fact that the skill rating is lower than the preset reference rating.
The benchmark rating refers to a standard rating for measuring skill level. The teaching video refers to a video for performing skill teaching on a attendant having a lower skill rating than the reference rating. The reference rating and the teaching video are set in advance by a person skilled in the art, and are not described here.
When the skill rating is lower than the reference rating, the skill of the attendant needs to be further refined, and whether the teaching database contains the teaching video of the hand-made article needs to be judged first so as to facilitate the follow-up steps.
Different teaching videos corresponding to various hand-made articles are stored in the teaching database, and the teaching database is formed by sequentially recording the teaching videos of the different hand-made articles by a person skilled in the art, and details are not repeated here.
And step 705, if the manual article is included, controlling the mobile terminal to display the teaching video corresponding to the manual article.
If the teaching database contains the teaching video of the hand-made article, the mobile terminal can be controlled to display the teaching video corresponding to the hand-made article for the attendant to learn.
Referring to fig. 8, the person verification method includes the steps of:
Step 800, determining whether a preset face feature is included in the working gesture video.
Facial features refer to various physiological features and attributes that are unique to a person's face. The face features are preset by those skilled in the art, and will not be described here.
Whether the face features are contained in the working gesture video is judged to determine whether the attendant has a face exposed, so that whether the subsequent hand feature recognition is needed is known. Hand features refer to various physiological features and attributes that are unique to a person's hand.
Step 801, if the working gesture video contains facial features, determining whether the facial features are consistent with preset reference facial features.
The reference face feature refers to specific face feature information associated with an account number on the mobile terminal. The reference face features are automatically pre-input by a attendant.
If the working gesture video contains the face feature, it is indicated that the attendant has a face exposed, and whether the face feature is consistent with the reference face feature needs to be judged so as to know whether the attendant has errors.
And step 802, reporting a person abnormal prompt based on the fact that the face characteristics are inconsistent with the reference face characteristics.
The abnormal prompt of the character refers to the prompt sent by the attendant when the attendant is wrong. The person abnormality prompt is set in advance by those skilled in the art, and will not be described here.
When the face features are inconsistent with the reference face features, the staff member is wrongly indicated and needs to report the abnormal prompt of the person.
Step 803, if the working gesture video does not contain the face features, determining the hand features according to the working gesture video.
If the working gesture video does not contain the face features, the fact that the attendant has no face exposed is indicated, and the hand features are determined according to the working gesture video so as to facilitate the follow-up steps. The hand characteristics are obtained by analyzing the overall outline of the hand in the working gesture video, including the size and shape of the palm, the thickness and length proportion of the fingers and the shape of the joints. The video recognition feature technique is common knowledge in the art, and will not be described in detail herein.
Step 804, reporting a man-made abnormal prompt based on the fact that the hand characteristics are inconsistent with the preset reference hand characteristics.
The reference hand feature refers to hand feature information of a person associated with an account number on the mobile terminal. The reference hand features are automatically pre-input by a attendant.
When the hand characteristics are inconsistent with the reference hand characteristics, the staff member is wrongly indicated and needs to report the abnormal prompt of the person.
Based on the same inventive concept, an embodiment of the present invention provides a task distribution system based on a zero-working market, including:
The acquisition module is used for acquiring the trigger signal and the screen image information;
A memory for storing a program of a task distribution method based on a zero-working market;
And the processor is used for loading and executing the programs stored in the memory.
Based on the same inventive concept, the embodiment of the invention provides a terminal, which comprises a memory and a processor, wherein the memory is stored with a task distribution method based on a zero-work market, and the task distribution method can be loaded and executed by the processor.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-described division of the functional modules is illustrated, and in practical application, the above-described functional allocation may be performed by different functional modules according to needs, i.e. the internal structure of the apparatus is divided into different functional modules to perform all or part of the functions described above. The specific working processes of the above-described systems, devices and units may refer to the corresponding processes in the foregoing method embodiments, which are not described herein.
The above description is only a preferred embodiment of the present invention, and the protection scope of the present invention is not limited to the above examples, and all technical solutions belonging to the concept of the present invention belong to the protection scope of the present invention. It should be noted that modifications and adaptations to the present invention may occur to one skilled in the art without departing from the principles of the present invention and are intended to be within the scope of the present invention.