Apparatus for picture automatic production and apparatus, storage medium

Abstract

The application relates to the technical field of picture production, and discloses a method for picture automatic production, which comprises the following steps: acquiring sample picture data information, and constructing a database storing the sample picture data information; receiving order picture data information; according to a mapping relationship between the sample picture data information and the order picture data information, querying sample picture data information matched with the order picture data information in the database; and according to a query result, determining a production procedure of the order picture. In the application, whether sample picture data information matched with the order picture data information exists in the database can be quickly and accurately determined through an intelligent query mode, the production procedure of the picture is simplified, the complexity and errors in the matching process are reduced, the picture can be quickly put into production after the information data is matched, the production cycle is shortened, and the production efficiency of the picture is improved. The application further discloses a device for picture automatic production.

Description

Technical Field

[0001] This application relates to the field of picture production technology, such as an apparatus and device for automated picture production and a storage medium. Background Technology

[0002] To enhance their quality of life, people often hang decorative paintings on the walls of bedrooms, living rooms, hotels, and other places. There are many different design options for decorative paintings. For example, decorative paintings can be in various styles such as upright, polygonal, triangular, and combined structures. They can also be designed in various sizes according to usage needs, and can be made of materials such as wood, hard plastic, and metal.

[0003] Currently, when companies produce drawings, after receiving customer orders, staff need to manually search for and compare the drawings one by one in the sample drawing storage warehouse or on the computer where the sample drawings are stored to determine if there is a sample drawing that matches the order content. This process relies on manual searching, which has a large margin of error and is quite time-consuming, resulting in a longer production cycle and reduced production efficiency.

[0004] In the process of implementing the embodiments of this disclosure, at least the following problems were found in the related art:

[0005] Traditional query methods are prone to errors and waste time, leading to longer production cycles and reduced production efficiency.

[0006] It should be noted that the information disclosed in the background section above is only used to enhance the understanding of the background of this application, and therefore may include information that does not constitute prior art known to those skilled in the art. Summary of the Invention

[0007] To provide a basic understanding of some aspects of the disclosed embodiments, a brief summary is given below. This summary is not intended as a general commentary, nor is it intended to identify key / important components or describe the scope of protection of these embodiments, but rather as a prelude to the detailed description that follows.

[0008] This disclosure provides an apparatus and storage medium for automated image production. Through intelligent querying, it can quickly and accurately determine whether there is sample image data in the database that matches the order image data. Compared with manually searching for sample images and comparing them one by one, it simplifies the image production process, reduces the tediousness and errors in the matching process, and can quickly put the image into production after the information data is matched, shortening the production cycle and improving the production efficiency of the image.

[0009] In some embodiments, a method for automated image production includes:

[0010] Obtain sample image data and construct a database that stores the sample image data;

[0011] Receive order drawing data information;

[0012] Based on the mapping relationship between template image data and order image data, query the database for template image data that matches the order image data.

[0013] Based on the query results, determine the production process for the order drawing.

[0014] In some embodiments, the apparatus for automated image production includes:

[0015] The storage module is configured to store template image data information to form a template image database;

[0016] The receiving module is configured to receive order image data information;

[0017] The query module is configured to query the database for template image data that matches the order image data based on the mapping relationship between template image data and order image data.

[0018] The determination module is configured to determine the production process of the order drawing.

[0019] The apparatus and storage medium for automated image production provided in this disclosure can achieve the following technical effects:

[0020] By querying the database for sample image data that matches the order image data, and determining the production process based on the query results, the system can quickly and accurately determine whether a matching sample image exists in the database during production. This is achieved through an intelligent query method, based on the mapping relationship between the sample image data and the order image data. Compared to manually searching for sample images and comparing them one by one, this simplifies the production process, reduces the tediousness and errors in the matching process, and allows for rapid production after data matching, shortening the production cycle and improving production efficiency.

[0021] The above general description and the description below are exemplary and illustrative only and are not intended to limit this application. Attached Figure Description

[0022] One or more embodiments are illustrated by way of example with reference to the accompanying drawings. These illustrations and drawings do not constitute a limitation on the embodiments. Elements having the same reference numerals in the drawings are shown as similar elements. The drawings are not to be scaled. And wherein:

[0023] Figure 1 This is a schematic diagram of a method for automated image production provided in an embodiment of this disclosure;

[0024] Figure 2 This is a schematic diagram of an apparatus for automated drawing production provided in an embodiment of this disclosure;

[0025] Figure 3 This is a schematic diagram of the determining module provided in an embodiment of this disclosure;

[0026] Figure 4 This is a schematic diagram of another apparatus for automated drawing production provided in an embodiment of this disclosure;

[0027] Figure 5 This is a schematic diagram of the instruction issuing module provided in an embodiment of this disclosure;

[0028] Figure 6 This is a schematic diagram of another apparatus for automated drawing production provided in an embodiment of this disclosure.

[0029] Figure label:

[0030] 100. Storage module; 200. Receiving module; 300. Query module; 400. Determining module; 500. Instruction issuing module; 600. Information update module; 700. Processor; 701. Memory; 702. Communication interface; 703. Bus. Detailed Implementation

[0031] To provide a more detailed understanding of the features and technical content of the embodiments of this disclosure, the implementation of the embodiments of this disclosure will be described in detail below with reference to the accompanying drawings. The accompanying drawings are for illustrative purposes only and are not intended to limit the embodiments of this disclosure. In the following technical description, for ease of explanation, several details are used to provide a full understanding of the disclosed embodiments. However, one or more embodiments may still be implemented without these details. In other cases, well-known structures and devices may be simplified in their depiction to simplify the drawings.

[0032] The terms "first," "second," etc., used in the specification, claims, and accompanying drawings of this disclosure are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate for the embodiments of this disclosure described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion.

[0033] Unless otherwise stated, the term "multiple" means two or more.

[0034] In this embodiment of the disclosure, the character " / " indicates that the objects before and after it are in an "or" relationship. For example, A / B means: A or B.

[0035] The term "and / or" describes an association between objects, indicating that three relationships can exist. For example, A and / or B means: A or B, or A and B.

[0036] The term "correspondence" can refer to an association or binding relationship. The correspondence between A and B means that there is an association or binding relationship between A and B.

[0037] In this embodiment of the disclosure, smart home appliances refer to home appliances formed by introducing microprocessors, sensor technology and network communication technology into home appliances. They have the characteristics of intelligent control, intelligent sensing and intelligent application. The operation of smart home appliances often relies on the application and processing of modern technologies such as the Internet of Things, the Internet and electronic chips. For example, smart home appliances can be connected to electronic devices to enable users to remotely control and manage smart home appliances.

[0038] In the disclosed embodiments, the terminal device refers to an electronic device with wireless connectivity. The terminal device can communicate with the aforementioned smart home appliances via the internet, or directly via Bluetooth, Wi-Fi, or other methods. In some embodiments, the terminal device may be, for example, a mobile device, a computer, or an in-vehicle device built into a hovercraft, or any combination thereof. Mobile devices may include, for example, mobile phones, smart home devices, wearable devices, smart mobile devices, virtual reality devices, or any combination thereof. Wearable devices may include, for example, smartwatches, smart bracelets, pedometers, etc.

[0039] Combination Figure 1 As shown, this disclosure provides a method for automated image production, including:

[0040] S01, Obtain template drawing data information and construct a database storing template drawing data information;

[0041] S02, Receive order drawing data information;

[0042] S03, Based on the mapping relationship between the template drawing data information and the order drawing data information, query the database for template drawing data information that matches the order drawing data information;

[0043] S04. Based on the query results, determine the production process for the order drawing.

[0044] The method for automated production of drawings provided in this disclosure involves querying a database for template drawing data that matches the order drawing data. Based on the query results, the production process for the order drawing is determined. Therefore, during drawing production, the method can quickly and accurately determine whether a matching template drawing exists in the database using an intelligent query method, based on the mapping relationship between the template drawing data and the order drawing data. Compared to manually searching for template drawings and comparing them one by one, this simplifies the drawing production process, reduces the tediousness and errors in the matching process, and allows for rapid production after data matching, shortening the production cycle and improving drawing production efficiency.

[0045] Understandably, the database is a relational database, which is an existing technology that stores data in a structured way. Each data table must define each field before storing data according to the table structure. In addition, the database can also be a hierarchical database or a network database. The construction of the database based on the acquired data will not be elaborated here.

[0046] Optionally, both the sample image data and the order image data include one or more of the following: image type information, image quantity information, and image size specifications. This ensures that the sample image data and the order image data are identical, facilitating a fast and efficient matching process and allowing for flexible responses to diverse customer needs. It also enables better image production according to customer requirements, ensuring that the produced images meet those requirements.

[0047] Optionally, based on the mapping relationship between template image data and order image data, querying the database for template image data that matches the order image data includes: creating an index of template image data in the template image data database; generating retrieval information in the index based on the order image data; and querying the database for template image data that matches the order image data based on the retrieval information. In this way, by creating an index and generating retrieval information in the index, and then querying the database for template image data that matches the order image data, specific information in the database can be accessed quickly without having to compare and search one by one. This allows for fast and accurate retrieval of the required template image data, speeding up data retrieval, saving search time, and ensuring the uniqueness of the output image data.

[0048] Optionally, creating an index for the template image data in the template image data database includes: creating an index based on the image style, size, material, and quantity. This makes the index more comprehensive, enabling better and more accurate retrieval and ensuring the accuracy and efficiency of the retrieval process.

[0049] Optionally, based on the mapping relationship between sample image data and order image data, querying the database for sample image data that matches the order image data further includes: performing image recognition on the order image data; and determining whether a sample image matching the order image data exists in the database. In this way, using image recognition technology to read the order image data allows for comparison with the sample image data stored in the database. By analyzing and processing the two types of image data, it can be determined whether a sample image matching the order image data exists in the database. This reduces errors in the matching process, ensures that the produced images meet customer needs, saves matching time, and contributes to efficient image production.

[0050] Understandably, image recognition of order image data involves scanning the order image data with a scanner to determine the type, quantity, and size of the images. Image recognition is an existing technology that can be performed using a scanner connected to a database, and will not be elaborated further here.

[0051] Optionally, based on the query results, the production process for the order drawing can be determined as follows: if a template drawing matching the order drawing data is found in the database, the order drawing is determined to enter the production stage; if no template drawing matching the order drawing data is found in the database, the order drawing is determined to enter the printing stage. This method simplifies the determination of whether an order drawing enters the production stage. When the template drawing data matches the order drawing data, it indicates sufficient inventory, allowing for direct production, thus simplifying the production process, shortening the production cycle, and improving production efficiency. Conversely, when no template drawing matching the order drawing data is found in the database, it indicates insufficient inventory, necessitating the printing stage to both replenish inventory and produce the drawing required by the customer.

[0052] Optionally, upon confirming that the order drawing has entered the production stage, a production instruction can be issued based on the order drawing data. This allows for high-quality production of the drawing, ensuring it meets customer needs and improving production efficiency.

[0053] Optionally, based on the order image data, production instructions include: determining the image type, quantity, and size specifications in the order image data; and issuing mounting instructions based on the image type, quantity, and size specifications. This helps to efficiently complete image production and ensures that the finished image meets the customer's needs.

[0054] Optionally, a reminder message can be sent simultaneously with the order drawing entering the printing stage. This reminder message is displayed on a screen and indicates a need to replenish inventory. This allows for timely reminders to replenish inventory when data mismatches occur, ensuring subsequent production needs are met and preventing situations where production halts due to mismatches could reduce company profits, thus contributing to improved business efficiency.

[0055] Optionally, if no matching template image data is found in the database, the target conditions for the order image to enter the production stage are generated simultaneously with the determination that the order image has entered the printing stage. The target image is then printed according to these target conditions. This allows for the rapid production of the required images, facilitating subsequent production and replenishing inventory.

[0056] Optionally, generating target conditions for the order drawing to enter the production process, and printing the target drawing based on these conditions includes: determining the differences between the order drawing data and the template drawing data; and printing a drawing that conforms to the order drawing data based on these differences. This allows for the rapid production of the required drawings, facilitating subsequent production, fulfilling customer orders, and preventing reduced business efficiency due to production delays, thus ensuring profitability.

[0057] Optionally, after printing the target image based on the difference data, an instruction to continue printing the image can be issued. This allows for replenishing inventory after an order is completed, facilitating immediate production upon receiving similar orders in the future, shortening the image production cycle, and improving production efficiency.

[0058] In some specific embodiments, the database stores 20 landscape paintings, 10 figure paintings, 50 architectural paintings, and 0 food paintings. When the order data contains 10 landscape paintings, after generating the search information for 10 landscape paintings, the database can be searched to find sample painting data that matches the order data. At this point, production can proceed directly for the order painting. Conversely, when the order data contains 25 landscape paintings, due to insufficient inventory, after generating the search information for 25 landscape paintings, no sample painting data matching the order data can be found in the database. In this case, the printing process begins. Based on the differences between the order data and the sample painting data, the required paintings can be printed. However, due to the lack of data in the database... If there are 5 fewer landscape paintings than ordered, then after printing 5 landscape paintings, the production process can begin. Of course, printing more than 5 paintings is the optimal solution. This way, the required paintings for the order can be completed, and inventory can be replenished, making it easy to directly enter the production process after receiving similar orders in the future, ensuring painting production efficiency. Similarly, when the order painting data includes multiple types of paintings, the same method can be implemented. In addition, paintings usually come in various sizes, and different customers may require different sizes of paintings. Therefore, the database can also store the size specifications of the paintings. For example, 20 20-inch landscape paintings, 10 18-inch landscape paintings; 10 15-inch figure paintings, 30 10-inch figure paintings, etc. The query method after receiving the order data is the same as above.

[0059] Combination Figure 2-5As shown, this embodiment of the disclosure provides an apparatus for automated production of drawings, including: a storage module 100, a receiving module 200, a query module 300, and a determining module 400. The storage module 100 is configured to store template drawing data information to form a template drawing database; the receiving module 200 is configured to receive order drawing data information; the query module 300 is configured to query the database for template drawing data information that matches the order drawing data information based on the mapping relationship between the template drawing data information and the order drawing data information; and the determining module 400 is configured to determine the production process for the order drawing.

[0060] The apparatus for automated production of drawings provided in this disclosure queries a database for template drawing data that matches the order drawing data. Based on the query results, the production process for the order drawing is determined. Thus, during drawing production, the existence of a matching template drawing in the database can be quickly and accurately determined through an intelligent query method, based on the mapping relationship between the template drawing data and the order drawing data. Compared to manually searching for template drawings and comparing them one by one, this simplifies the drawing production process, reduces the tediousness and errors in the matching process, and allows for rapid production after data matching, shortening the production cycle and improving drawing production efficiency.

[0061] Optionally, the determining module 400 includes a first determining module and a second determining module. The first determining module is configured to determine that the order drawing enters the production stage; the second determining module is configured to determine that the order drawing enters the printing stage. Thus, when the sample drawing data information matches the order drawing data information, it indicates sufficient inventory. In this case, the first determining module directly determines that the order drawing enters the production stage, simplifying the drawing production process, shortening the production cycle, and improving the drawing production efficiency. However, when no sample drawing data matching the order drawing data information is found in the database, it indicates insufficient inventory. In this case, the second determining module determines that the order drawing enters the printing stage, which can both replenish inventory and produce the drawing required by the customer.

[0062] Optionally, the device for automated image production further includes an instruction issuing module 500. The instruction issuing module 500 includes a first instruction issuing module and a second instruction issuing module. The first instruction issuing module is connected to a first determining module and is used to issue image production instructions; the second instruction issuing module is connected to a second determining module and is used to issue image printing instructions. This allows for rapid image production, improving production efficiency, and enables the quick production of required images when inventory is insufficient, facilitating subsequent image production, fulfilling customer orders, and avoiding situations where production disruptions reduce company profits, thus ensuring company profitability.

[0063] Optionally, the apparatus for automated drawing production also includes an information update module 600. The information update module 600 is configured to update the sample drawing data information stored in the database. This allows for timely updates to inventory information after replenishment, facilitating direct production upon receiving similar orders again, avoiding delays in drawing production due to information errors, and ensuring efficient drawing production.

[0064] Combination Figure 6 As shown, this disclosure provides an apparatus for automated image production, including a processor 700 and a memory 701. Optionally, the apparatus may further include a communication interface 702 and a bus 703. The processor 700, communication interface 702, and memory 701 can communicate with each other via the bus 703. The communication interface 702 can be used for information transmission. The processor 700 can call logical instructions in the memory 701 to execute the method for automated image production described in the above embodiment.

[0065] Furthermore, the logic instructions in the aforementioned memory 701 can be implemented as software functional units and, when sold or used as independent products, can be stored in a computer-readable storage medium.

[0066] The memory 701, as a computer-readable storage medium, can be used to store software programs and computer-executable programs, such as program instructions / modules corresponding to the methods in the embodiments of this disclosure. The processor 700 executes functional applications and data processing by running the program instructions / modules stored in the memory 701, thereby implementing the method for automated image production in the above embodiments.

[0067] The memory 701 may include a program storage area and a data storage area. The program storage area may store the operating system and application programs required for at least one function; the data storage area may store data created based on the use of the terminal device. Furthermore, the memory 701 may include high-speed random access memory and may also include non-volatile memory.

[0068] This disclosure provides a computer-readable storage medium storing computer-executable instructions configured to perform the above-described method for automated drawing production.

[0069] This disclosure provides a computer program product, which includes a computer program stored on a computer-readable storage medium. The computer program includes program instructions that, when executed by a computer, cause the computer to perform the above-described method for automated image production.

[0070] The aforementioned computer-readable storage medium may be a transient computer-readable storage medium or a non-transitory computer-readable storage medium.

[0071] The technical solutions of this disclosure can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes one or more instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the method described in this disclosure. The aforementioned storage medium can be a non-transitory storage medium, including: a USB flash drive, a portable hard drive, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk, and other media capable of storing program code; it can also be a transient storage medium.

[0072] The foregoing description and accompanying drawings fully illustrate embodiments of this disclosure to enable those skilled in the art to practice them. Other embodiments may include structural, logical, electrical, procedural, and other changes. The embodiments represent only possible variations. Individual components and functions are optional unless explicitly required, and the order of operation may vary. Parts and features of some embodiments may be included in or replace parts and features of other embodiments. Moreover, the terminology used in this application is for describing embodiments only and is not intended to limit the claims. As used in the description of embodiments and claims, the singular forms “a,” “an,” and “the” are intended to equally include the plural forms unless the context clearly indicates otherwise. Similarly, the term “and / or” as used in this application means including one or more of the associated listed items and all possible combinations thereof. Additionally, when used in this application, the term "comprise" and its variations "comprises" and / or "comprising" refer to the presence of stated features, integrals, steps, operations, elements, and / or components, but do not exclude the presence or addition of one or more other features, integrals, steps, operations, elements, components, and / or groups thereof. Without further limitations, an element defined by the phrase "comprises a..." does not exclude the presence of other identical elements in the process, method, or apparatus that includes said element. In this document, each embodiment may focus on the differences from other embodiments, and similar or identical parts between embodiments can be referred to mutually. For methods, products, etc., disclosed in the embodiments, if they correspond to the method section disclosed in the embodiments, the relevant parts can be referred to the description of the method section.

[0073] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of the embodiments of this disclosure. Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0074] The methods and products (including but not limited to devices and equipment) disclosed in the embodiments herein can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For instance, the division of units may be merely a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. In addition, the coupling or direct coupling or communication connection between the shown or discussed units may be through some interfaces, and the indirect coupling or communication connection between devices or units may be electrical, mechanical, or other forms. The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of the units may be selected to implement this embodiment according to actual needs. Furthermore, the functional units in the embodiments of this disclosure may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0075] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to embodiments of this disclosure. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. In some alternative implementations, the functions marked in the blocks may occur in a different order than that shown in the drawings. For example, two consecutive blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. In the descriptions corresponding to the flowcharts and block diagrams in the accompanying drawings, the operations or steps corresponding to different blocks may also occur in a different order than disclosed in the description, and sometimes there is no specific order between different operations or steps. For example, two consecutive operations or steps may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. Each block in a block diagram and / or flowchart, and combinations of blocks in a block diagram and / or flowchart, can be implemented using a dedicated hardware-based system that performs the specified function or action, or using a combination of dedicated hardware and computer instructions.

Claims

1. A method for automated image production, characterized in that, include: Obtain sample image data information. Both sample image data information and order image data information include one or more of the following: image type information, image quantity information, and image size specification information. Construct a database storing sample image data information and create an index directory for the sample image data information in the sample image data information database. The index directory includes the image style, image size, image material, and image quantity. Receive order drawing data information; Based on the mapping relationship between template image data and order image data, query the database for template image data that matches the order image data. Based on the query results, determine the production process for the order drawing; The production process for the order drawing, based on the query results, includes: if a template drawing matching the order drawing data is found in the database, the order drawing is determined to enter the production stage; if no template drawing matching the order drawing data is found in the database, the order drawing is determined to enter the printing stage. If no template image data matching the order image data is found in the database, the system determines that the order image should enter the printing stage and generates target conditions for the order image to enter the production stage. The target image is then printed based on these target conditions, including: determining the difference between the order image data and the template image data; and printing an image that matches the order image data based on the difference between the two.

2. The method for automated image production according to claim 1, characterized in that, Based on the mapping relationship between template image data and order image data, the database is queried for template image data that matches the order image data, including: Based on the order image data, generate search information in the index directory; Based on the search information, query the database for template image data that matches the order image data.

3. The method for automated image production according to claim 1, characterized in that, Based on the mapping relationship between template image data and order image data, querying the database for template image data that matches the order image data also includes: Image recognition is performed on the order drawing data. Determine if a template image exists in the database that matches the order image data.

4. A device for automated production of drawings, characterized in that, include: The storage module (100) is configured to store template picture data information. The template picture data information and the order picture data information both include one or more of the following: picture type information, picture quantity information, and picture size specification information, in order to form a template picture database. An index directory is established for the template picture data information in the template picture data information database. The index directory includes the picture style, picture size, picture material, and picture quantity. The receiving module (200) is configured to receive order drawing data information; The query module (300) is configured to query the database for template image data that matches the order image data based on the mapping relationship between template image data and order image data. The determination module (400) is configured to determine the production process of the order drawing. The determination of the production process based on the query results includes: if a template drawing matching the order drawing data is found in the database, determining that the order drawing enters the production stage; if no template drawing matching the order drawing data is found in the database, determining that the order drawing enters the printing stage; and if no template drawing matching the order drawing data is found in the database, simultaneously determining that the order drawing enters the printing stage and generating target conditions for the order drawing to enter the production stage, and printing the target drawing according to the target conditions for the order drawing to enter the production stage, including: determining the difference data between the order drawing data and the template drawing data; and printing a drawing that conforms to the order drawing data based on the difference data.

5. An apparatus for automated production of drawings, comprising a processor (700) and a memory (701) storing program instructions, characterized in that, The processor (700) is configured to execute, when running the program instructions, the method for automated production of drawings as described in any one of claims 1 to 3.

6. A storage medium storing program instructions, characterized in that, When the program instructions are executed, they perform the method for automated production of drawings as described in any one of claims 1 to 3.

Images