JP2018130860A - Label issuance device - Google Patents

Abstract

PROBLEM TO BE SOLVED: To improve work efficiency and to reinforce sanitation management.SOLUTION: A label issuance device includes: extraction method designation means for designating merchandise extraction method by voice during extracting merchandise information; merchandise information extraction means for extracting merchandise information by the merchandise extraction method designated by the extraction method designation means; merchandise information narrowing means for narrowing merchandise information from the merchandise information extracted by the merchandise information extraction means; and merchandise extraction method switching means capable of switching the merchandise extraction method on the basis of voice in a step for narrowing the merchandise information by the merchandise information narrowing means.SELECTED DRAWING: Figure 1

Description

  The present invention relates to a label issuing device.

  In food factories, supermarket backyards, and the like, label issuing devices (label printers, packaging machines, etc.) that issue labels attached to products are used (see, for example, Patent Document 1). In general, in the label issuing business, each product is managed (PLU or the like) together with information for calling (product code). Therefore, for example, when information for calling (product code by numbers or barcode) is printed on the production instruction, the person in charge of label issuing work refers to the production instruction and calculates the remaining man-hours. The product information of a desired product (a product for which a label is to be issued) is called in the label issuing device without making a call.

Japanese Patent Laid-Open No. 2015-30207

However, if the information for calling the desired product cannot be immediately confirmed (when issuing a label for a product that is not in the production instruction or when reissuing the label, etc.) There may be a problem that it takes a lot of man-hours. For example, product information is called by character input and character string search instead of calling product information by product code, but if there are many product points, it is easy to reach the desired product by character search. There are also sites where people with little product knowledge do not work at all.
In the field where hygiene management is important, for example, it is preferable that the frequency of contact with devices and the like is as low as possible including touches such as designation and selection on the screen, and effective measures are desired.

  The present invention has been made in view of such circumstances, and an object thereof is to provide a technique capable of improving work efficiency and enhancing hygiene management.

  In order to solve the above-described problem, the label issuing apparatus according to one aspect of the present invention specifies an extraction method designating unit that designates a product extraction method by voice when extracting product information, and is specified by the extraction method designating unit. Product information extracting means for extracting product information by the product extraction method performed, Product information narrowing means for narrowing down product information from among the product information extracted by the product information extracting means, and the product information narrowing means Product extraction method switching means capable of switching the product extraction method based on voice in the stage of narrowing down the product information by

  According to the above configuration, work efficiency can be improved and hygiene management can be strengthened.

  In the label issuing device, when the product information narrowing means narrows down to one product information, a correction means capable of executing addition, correction or deletion processing by voice for a predetermined item included in the product information. You may make it prepare.

  According to the above configuration, the work efficiency can be further improved and the hygiene management can be further strengthened.

  In the label issuing device, when the product information narrowing means narrows down to one product information, the label issuing device includes a correctness determination means that can execute a correct / incorrect determination by voice for a predetermined item included in the product information. Also good.

  According to the above configuration, the work efficiency can be further improved and the hygiene management can be further strengthened.

  In the label issuing device, the predetermined item may include at least one of items relating to a product name, a place of production, a sale, a unit price, a weight, a sale price, a raw material, an additive, a nutritional component, and an allergy.

  According to the above configuration, it is possible to determine whether the important item is correct or not.

  In the label issuing device, the correctness determination unit includes a first correctness determination unit that determines that the predetermined item is correct when the voice recognition result indicates the name of the one predetermined item, and one voice recognition result. You may make it have the 2nd correct / failure determination means which determines with respect to the said predetermined item correct when the combination of the name and information of the said predetermined item is shown.

  According to the above configuration, the determination can be suitably performed.

  According to the above configuration, work efficiency can be improved and hygiene management can be strengthened.

  As described above, work efficiency can be improved and hygiene management can be strengthened.

1 is a perspective view of a label printer 1. FIG. 2 is a block diagram illustrating an example of a configuration of a label printer 1. FIG. It is a figure which shows an example of the various information which the label printer 1 memorize | stores. It is a figure which shows an example of the various information which the label printer 1 memorize | stores. It is a figure which shows an example of the various information which the label printer 1 memorize | stores. 3 is a flowchart showing an example of the operation of the label printer 1. 3 is a flowchart showing an example of the operation of the label printer 1. 4 is a diagram illustrating a display example in the label printer 1. FIG. 3 is a flowchart showing an example of the operation of the label printer 1. 3 is a flowchart showing an example of the operation of the label printer 1. 4 is a diagram illustrating a display example in the label printer 1. FIG. 4 is a diagram illustrating a display example in the label printer 1. FIG. 3 is a flowchart showing an example of the operation of the label printer 1.

  Hereinafter, embodiments of the present invention will be described with reference to the drawings. FIG. 1 is a perspective view of a label printer (also referred to as a label issuing device or a label printing device) 1 according to an embodiment of the present invention. The label printer 1 is a device that is installed, for example, in a back yard of a store and issues labels to be attached to various products or product containers. An operation display unit 13 and a key operation unit 15 are provided on the upper surface of the base unit 10. And a pair of label issuing ports 17 and 19 are installed on the front surface of the base unit 10, and a product weighing scale unit 30 is connected by a cable (may be wireless).

  FIG. 2 is a block diagram showing the configuration of the label printer 1. The label printer 1 includes a control unit 20, a scale unit 30, a printing unit 40, an operation unit 50, and a microphone 60. The weighing unit 30 includes a load cell 31 and weighs the product. The printing unit 40 includes first and second printing mechanism units 41 and 43. Each of the first and second printing mechanisms 41 and 43 prints a label, and discharges the printed label from the label issuing ports 17 and 19 (see FIG. 1). The operation unit 50 includes a key operation unit 15 and an operation display unit 13 (13a, 13b). The key operation unit 15 includes a numeric keypad and a print key. The numeric keypad accepts numeric input. The print key accepts input of a print instruction. The operation display unit 13 has a structure in which a touch panel 13b is laminated on a liquid crystal display 13a so that display and input can be performed on the same surface. The liquid crystal display 13a performs display. When the finger of the person in charge (an operator such as a store clerk) touches the touch panel 13b, the touched position is detected and the input corresponding to the detected position is accepted. The microphone 60 receives the voice of the person in charge. The person in charge can operate the label printer 1 by voice. In other words, the label printer 1 can input and recognize the voice of the person in charge, and can execute processing according to the recognition result.

  The control unit 20 includes a CPU 21, a load cell control unit 22, a print control unit 23, an operation control unit 24, a display control unit 25, a ROM 26, a RAM 27, and an audio control unit 28. CPU21 is mutually connected with each part with which the control part 20 is provided via the bus | bath.

  The CPU 21 reads a program (including a speech recognition program) stored in the ROM 26 and various information stored in the RAM 27, and controls each unit based on the read program and various information. Further, the CPU 21 stores necessary information in the RAM 27. The load cell control unit 22 controls the load cell 31 provided in the scale unit 30. The print control unit 23 controls the print unit 40. The operation control unit 24 controls the key operation unit 15 and the touch panel 13b. The touch panel 13b can specify product information (for example, “expiration date”, etc.) according to the touched position in the preview image by touching the preview image (printed image) displayed on the liquid crystal display 13a, for example. is there. The display control unit 25 controls the liquid crystal display 13a. For example, the display control unit 25 generates a preview image based on product information, format information, and the like stored in the RAM 27, and displays the preview image on the liquid crystal display 13a. The voice control unit 28 supplies voice information to the CPU. The RAM 27 is a temporary storage area for storing information used by the CPU 21. The RAM 27 stores various files and the like. The ROM 26 stores programs and the like.

  3 to 5 are diagrams illustrating examples of various information stored in the label printer 1. FIG. 3A is a diagram illustrating an example of a product master file stored in the RAM 27 by the label printer 1. In the product master file shown in FIG. 3A, various information such as product name (product name), production place (production place), unit price, and weight is stored as product information in association with the product number (product number) ( Registered). The expiry date may be defined by a mathematical expression such as “reference date (for example, processing date or label issuance date) +7 days”. Further, the product information in FIG. 3A is an example, and the product master file may store, for example, a sale price (sale, special price).

  FIG. 3B is a diagram illustrating an example of an extraction result file stored in the RAM 27 by the label printer 1. The extraction result file is a file for storing product information of products extracted from the product master file. In the extraction result file shown in FIG. 3B, product information of a product having a product number “0013”, product information of a product having a product number “00022”, and product information of a product having a product number “00451” are stored.

  Each file shown in FIGS. 4 and 5 is a setting file related to speech recognition. The person in charge may appropriately set the settings file for voice recognition (initial registration, update, etc.).

  FIG. 4A is a diagram showing an example of a command recognition setting file stored in the RAM 27 by the label printer 1. The command recognition setting file is a file that is referred to when the label printer 1 recognizes a command (command) for itself (the label printer 1) by voice. In the command recognition setting file, one or more character strings (character strings to be compared with the speech recognition result) are stored (set) in association with each command. When the voice recognition result obtained by recognizing the voice of the person in charge matches the character string 1, character string 2, character string 3,... Corresponding to a certain command in the command recognition setting file, the label printer 1 Recognizes command input (determines that the command has been input). Therefore, according to the command recognition setting file shown in FIG. 4A, the label printer 1 indicates that the voice recognition result is, for example, the character string 1 “Himei” or the character string 2 corresponding to the command “product name extraction”. If it is determined that it matches one of “Himee”, the input of the command “extract product name” is recognized.

  FIG. 4B is a diagram showing an example of a subcommand (sort) recognition setting file stored in the RAM 27 by the label printer 1. The subcommand (sort) recognition setting file is a file that the label printer 1 refers to when recognizing the subcommand (command) of the command “sort” received following the command “sort”. In the subcommand (sort) recognition setting file, one or more character strings (character strings to be compared with the speech recognition result) are stored in association with each subcommand for the command “sort”. The label printer 1 recognizes the voice of the person in charge as one of the character string 1, character string 2, character string 3,... Corresponding to a certain subcommand in the subcommand (sort) recognition setting file. If they match, the input of the subcommand is recognized. Therefore, according to the setting file for subcommand (sort) recognition shown in FIG. 4B, the label printer 1 has a voice recognition result of, for example, the character string 1 “Kojun” corresponding to the subcommand “part number descending order”. ”Or the character string 2“ Hinbankoujun ”is recognized, the input of the subcommand“ Part number descending order ”is recognized. The subcommand “return” of the command “sort” is a subcommand for returning to the original state (for example, in ascending order of the product number).

  FIG. 4C is a diagram showing an example of a subcommand (page) recognition setting file stored in the RAM 27 by the label printer 1. The sub-command (page) recognition setting file is a file that the label printer 1 refers to when recognizing the sub-command (command) of the command “page” received following the command “page”. In the subcommand (page) recognition setting file, one or more character strings (character strings to be compared with the speech recognition result) are stored in association with each subcommand for the command “page”. The label printer 1 recognizes the voice of the person in charge as one of the character string 1, character string 2, character string 3,... Corresponding to a subcommand in the subcommand (page) recognition setting file. If they match, the input of the subcommand is recognized. Therefore, according to the setting file for subcommand (page) recognition shown in FIG. 4C, the label printer 1 indicates that the voice recognition result is, for example, the character string 1 “next” corresponding to the subcommand “next page”. Alternatively, when it is determined that the character string 2 “Jie page” or the character string 3 “Jie page” is matched, the input of the subcommand “next page” is recognized. The subcommand “return” of the command “page” is a subcommand for returning to the original state (for example, the first page).

  FIG. 4D is a diagram showing an example of a subcommand (enlarged) recognition setting file stored in the RAM 27 by the label printer 1. The subcommand (enlargement) recognition setting file is a file that the label printer 1 refers to when recognizing a subcommand (command) received subsequent to the command “enlargement”. In the subcommand (enlargement) recognition setting file, one or more character strings (character strings to be compared with the speech recognition result) are stored in association with each subcommand for the command “enlargement”. The label printer 1 recognizes that the voice of the person in charge is one of the character string 1, character string 2, character string 3,... Corresponding to a subcommand in the subcommand (enlarged) recognition setting file. If they match, the input of the subcommand is recognized. Therefore, according to the subcommand (enlarged) recognition setting file shown in FIG. 4D, the label printer 1 indicates that the voice recognition result is, for example, the character string 1 “Himei” corresponding to the subcommand “product name”. Alternatively, if it is determined that the character string 2 matches “Himeme”, the input of the subcommand “product name” is recognized. The enlargement subcommand “product name” is a subcommand for enlarging and displaying the “product name” portion. The same applies to other subcommands related to item names. The subcommand “return” of the command “enlarge” is a subcommand for returning to the state before enlargement.

  FIG. 5A is a diagram illustrating an example of a product name recognition setting file stored in the RAM 27 by the label printer 1. The product name recognition setting file is a file that is referred to when the product “name of product” received by the label printer 1 following the command “product name extraction” is recognized. In the product name recognition setting file, one or more character strings (character strings to be compared with the speech recognition result) are stored in association with one or more related word groups. The label printer 1 recognizes the voice of the person in charge when the voice recognition result matches one of the character string 1, the character string 2, the character string 3,... Corresponding to a certain word group in the product name recognition setting file. Recognize input of each phrase included in the phrase group. Therefore, according to the product name recognition setting file shown in FIG. 5A, the label printer 1 has a voice recognition result whose character corresponds to, for example, a phrase group (phrase 1 “Shabu Shabu”, phrase 2 “Shabu Shabu”). If it is determined that it matches the column 1 “Shabu Shabu”, it recognizes the input of the phrase 1 “Shabu Shabu” and the input of the phrase 2 “Shabu Shabu” included in the phrase group (the phrase 1 “Shabu Shabu”, the phrase 2 “Shabu Shabu”) To do. FIG. 5A shows a product name recognition setting file for a word group related to “shabu-shabu”. The label printer 1 stores a plurality of product name recognition setting files in the RAM 27 for each word group.

  FIG. 5B is a diagram showing an example of a production name recognition setting file stored in the RAM 27 by the label printer 1. The production name recognition setting file is a file to be referred to when the label production device 1 recognizes the “production name” received following the command “production name extraction”. The production name recognition setting file stores one or more character strings (character strings to be compared with the speech recognition result) in association with one or more word / phrase groups related to each other. The label printer 1 recognizes the voice of the person in charge when the voice recognition result matches one of the character string 1, the character string 2, the character string 3,... Corresponding to a certain word group in the production name recognition setting file. , The input of each phrase included in the phrase group is recognized. Therefore, according to the production name recognition setting file shown in FIG. 5 (B), the label printer 1 indicates that the speech recognition result is, for example, a phrase group (phrase 1 “Ibaraki”, phrase 2 “Ibaraki Prefecture”, phrase 3 If it is determined that the character string 1 “Ibaraki” to the character string 6 “Ibaraki Kensan” corresponding to “Ibaraki Prefecture”) corresponds to the word group (phrase 1 “Ibaraki”, phrase 2 “Ibaraki Prefecture”, The input of the phrase 1 “Ibaraki”, the input of the phrase 2 “Ibaraki” and the input of the phrase 3 “Ibaraki” included in the phrase 3 “produced by Ibaraki” is recognized. FIG. 5B is a product name recognition setting file for a word group related to “Ibaraki”, and the label printer 1 stores a plurality of product name recognition setting files for each word group in the RAM 27.

  FIG. 5C is a diagram showing an example of a confirmation item name recognition setting file stored in the RAM 27 by the label printer 1. The confirmation item name recognition setting file is a file that the label printer 1 refers to when recognizing the “item name” received following the command “item confirmation”. The confirmation item name recognition setting file stores (sets) one or more character strings (character strings to be compared with the speech recognition result) in association with each item name. In the label printer 1, the voice recognition result obtained by recognizing the voice of the person in charge matched one of the character string 1, the character string 2, the character string 3,... Corresponding to a certain item name in the confirmation item name recognition setting file. In the case, the input of the item name is recognized. Therefore, according to the confirmation item name recognition setting file shown in FIG. 5C, for example, the label printer 1 has the voice recognition result of the character string 1 “Himei” or the character corresponding to the item name “product name”. If it is determined that it matches any of the column 2 “Himee”, the input of the item name “product name” is recognized.

  6 and 7 are flowcharts showing an example of the operation of the label printer 1. The flowcharts of FIGS. 6 and 7 show the flow of processing for selecting a product for issuing a label. The flowchart in FIG. 6A starts when “voice recognition” is declared on a predetermined screen (for example, the screen 70 in FIG. 8A). Also, at the start of the flowchart of FIG. 6A, if product information is stored in the extraction result file (see FIG. 3B), all stored product information is erased. 6 and 7 (the same applies to FIGS. 9, 10 and 13), the control unit 20 executes each step.

(Flowchart in FIG. 6A)
Step S10: It is determined whether or not there is a voice input. If there is a voice input (step S10; YES), the process proceeds to step S12. If there is no voice input (step S10; NO), the process returns to step S10. That is, after the declaration of voice recognition, the label printer 1 waits for a command instruction by voice input from the person in charge, and if there is an instruction, the process proceeds to step S12.

Step S12: Recognize the voice input in step S10. The voice recognition result (character string) is stored in a predetermined area of the RAM 27, for example.
Step S14: It is determined whether or not the instruction command by the person in charge is “article number extraction”. Specifically, the voice recognition result of the person in charge obtained in step S12 and the command recognition setting file (see FIG. 4A) are referred to, and the voice recognition result becomes the command “part number extraction”. If it matches the corresponding character string 1 “Hinban”, it is determined that the instruction command is “product number extraction”, and if it does not match, it is determined that the instruction command is not “product number extraction”. If it is determined that “product number extraction” is selected (step S14; YES), the process proceeds to step S30 in FIG. If it is determined that it is not “product number extraction” (step S14; NO), the process proceeds to step S16.

Step S16: It is determined whether or not the instruction command by the person in charge is “article name extraction”. Specifically, the voice recognition result of the person in charge obtained in step S12 and the command recognition setting file (see FIG. 4A) are referred to, and the voice recognition result becomes the command “product name extraction”. If the corresponding character string 1 “Himmei” or character string 2 “Himmei” is matched, the instruction command is determined to be “product name extraction”. It is determined that it is not “product name extraction”. If it is determined that “product name extraction” is selected (step S16; YES), the process proceeds to step S40 in FIG. If it is determined that it is not “product name extraction” (step S16; NO), the process proceeds to step S18.

Step S18: It is determined whether or not the instruction command by the person in charge is “production area name extraction”. Specifically, the voice recognition result of the person in charge obtained in step S12 and the command recognition setting file (see FIG. 4A) are referred to, and the voice recognition result is the command “extract name of production”. If the character string 1 “Sanchi” or character string 2 “Sanchimei” or “Sanchimee” corresponding to the character string 1 is matched, it is determined that the instruction command is “extraction name extraction”. If they do not coincide with each other, it is determined that the instruction command is not “origin name extraction”. If it is determined that the “production area name extraction” is selected (step S18; YES), the process proceeds to step S50 in FIG. If it is determined that it is not “production area name extraction” (step S18; NO), the process proceeds to step S20.

Step S20: It is determined whether or not a list of extraction results has been displayed. That is, it is determined whether or not the process of step S44 in FIG. 7B or the process of step S54 in FIG. If it is determined that the list has been displayed (step S20; YES), the process proceeds to step S22. If it is determined that the list has not been displayed (step S20; NO), the process returns to step S10. The method for determining whether or not the list has been displayed is not particularly limited. For example, a flag (list displayed flag) is used in the process in step S44 in FIG. 7B or the process in step S54 in FIG. In step S20, it may be determined whether or not the list has been displayed with reference to the value of the list display flag. The value of the list display flag after the label is issued may be “0 (initialization)”. It may be determined whether the list has been displayed based on whether the product information is stored in the extraction result file (see FIG. 3B).

Step S22: It is determined whether or not the instruction command by the person in charge is “sort”. Specifically, referring to the voice recognition result of the person in charge obtained in step S12 and the command recognition setting file (see FIG. 4A), the voice recognition result corresponds to the command “sort”. If the character string 1 “Soto” or character string 2 “Narrange” is matched, the instruction command is determined to be “sort”, and if it does not match, the instruction command is “sort”. Judge that is not. If it is determined that “Sort” is selected (step S22; YES), the process proceeds to step S60 in FIG. When it is determined that it is not “sort” (step S20; NO), the process proceeds to step S24.

Step S24: It is determined whether or not the instruction command by the person in charge is “page”. Specifically, referring to the voice recognition result of the person in charge obtained in step S12 and the command recognition setting file (see FIG. 4A), the voice recognition result corresponds to the command “page”. When the character string 1 “Page” or the character string 2 “Page” or “Page” is matched, the instruction command is determined to be “page”. It is determined that it is not a “page”. If it is determined that the page is a “page” (step S24; YES), the process proceeds to step S70 in FIG. When it is determined that it is not “page” (step S24; NO), the process returns to step S10.

(Flowchart in FIG. 6B)
Step S60: It is determined whether or not there is a voice input. If there is a voice input (step S60; YES), the process proceeds to step S61. If there is no voice input (step S60; NO), the process returns to step S60. That is, after receiving the command “sort”, the label printer 1 waits for a subcommand instruction by voice input of the person in charge, and if there is an instruction, proceeds to step S61.

Step S61: Recognize the voice input in step S60. The voice recognition result (character string) is stored in a predetermined area of the RAM 27, for example.
Step S62: A list of extraction results is displayed based on the speech recognition result of the person in charge obtained in step S61. Specifically, the label printer 1 refers to the voice recognition result of the person in charge obtained in step S61 and the subcommand (sort) recognition setting file (see FIG. 4B), for example, When the voice recognition result matches either the character string 1 “Koujun” or the character string 2 “Hinban Kojun” corresponding to the subcommand “product number descending order”, the instruction subcommand is “product number descending order”. Judgment is made and the extraction results are listed in descending order of the product number. Then, the process returns to step S10 in FIG.

(Flowchart in FIG. 6C)
Step S70: It is determined whether or not there is a voice input. If there is a voice input (step S70; YES), the process proceeds to step S71. If there is no voice input (step S70; NO), the process returns to step S70. That is, after receiving the command “page”, the label printer 1 waits for a subcommand instruction by voice input from the person in charge, and if there is an instruction, the process proceeds to step S71.

Step S71: Recognize the voice input in step S70. The voice recognition result (character string) is stored in a predetermined area of the RAM 27, for example.
Step S72: A list of extraction results is displayed based on the speech recognition result of the person in charge obtained in step S71. Specifically, the label printer 1 refers to the voice recognition result of the person in charge obtained in step S71 and the subcommand (page) recognition setting file (see FIG. 4C), for example, When the voice recognition result matches any one of the character string 1 “next”, the character string 2 “jipage”, the character string 3 “jipeji”, etc. corresponding to the subcommand “next page”, the instruction subcommand is “ “Next page” is determined, and the extraction results of the next page are displayed in a list. Then, the process returns to step S10 in FIG.

(Flowchart in FIG. 7A)
Step S30: It is determined whether or not there is a voice input. If there is a voice input (step S30; YES), the process proceeds to step S31. If there is no voice input (step S30; NO), the process returns to step S30. In other words, after receiving the command “extract product number”, the label printer 1 waits for an instruction of the product number (number) by voice input of the person in charge, and proceeds to step S31 if there is an instruction.

Step S31: Recognize the voice input in step S30. The voice recognition result (character string) is stored in a predetermined area of the RAM 27, for example.
Step S32: The corresponding product is extracted and stored from all the products (extracted products if already extracted) based on the voice recognition result of the person in charge obtained in step S31. Specifically, the label printer 1 is not displayed as a list (that is, this time is the first extraction, and no product information is stored in the extraction result file (see FIG. 3B)). ), The product information of the product number corresponding to the voice recognition result of the person in charge obtained in step S31 is extracted and stored from the product master file (see FIG. 3A). Further, when the label printer 1 has already been displayed as a list (that is, this time is the second and subsequent extractions, and the product information is already stored in the extraction result file), the label printer 1 is selected from the extraction result file. The product information of the product number corresponding to the voice recognition result (number corresponding to the product number) of the person in charge obtained in step S31 is extracted and stored.
Step S33: The product information extracted and stored in step S32 is displayed on the screen.
Then, the flowchart shown in FIGS. 6 and 7 ends.

(Flowchart in FIG. 7B)
Step S40: It is determined whether or not there is a voice input. If there is a voice input (step S40; YES), the process proceeds to step S41. If there is no voice input (step S40; NO), the process returns to step S40. That is, after receiving the command “extract product name”, the label printer 1 waits for an instruction for the product name (phrase) by voice input from the person in charge, and proceeds to step S41 if there is an instruction.

Step S41: Recognize the voice input in step S40. The voice recognition result (character string) is stored in a predetermined area of the RAM 27, for example.
Step S42: Based on the speech recognition result of the person in charge obtained in step S41, the corresponding product is extracted and stored from all the products (extracted products if already extracted). Specifically, if the list is not already displayed, the label printer 1 uses the voice recognition result of the person in charge obtained in step S41 and the product name recognition setting file (see FIG. 5A). For example, when the speech recognition result matches the character string 1 “shabu-shabu” corresponding to the word / phrase group related to “jabu-shabu” (phrase 1 “shabu-shabu”, phrase 2 “shabu-shabu”), the phrase 1 “ The product information of the product with the product name including “Shabu Shabu” or the phrase 2 “Shabu Shabu” is extracted from the product master file (FIG. 3A) and newly stored in the extraction result file (FIG. 3B). On the other hand, if the list is already displayed, the label printer 1 uses the above-mentioned product information (product information of a product with a product name including either the phrase 1 “Shabu Shabu” or the phrase 2 “Shabu Shabu”) in the extraction result file. The product extracted from the inside and only the extracted product is stored in the extraction result file (that is, the product information not extracted is deleted from the extraction result file).

Step S43: It is determined whether or not the extraction result in step S42 is one. If there is one (step S43; YES), the process proceeds to step S33 in FIG. When it is not one case (step S43; NO), it progresses to step S44.

Step S44: A list of extraction results is displayed. That is, a plurality of products (specifically, product numbers, product names, etc.) extracted in step S42 are displayed in a list. Then, the process returns to step S10 in FIG.

(Flowchart in FIG. 7C)
Step S50: It is determined whether or not there is a voice input. If there is a voice input (step S50; YES), the process proceeds to step S51. If there is no voice input (step S50; NO), the process returns to step S50. In other words, the label printer 1 waits for an instruction for the name of production (phrase) by voice input from the person in charge after receiving the command “extraction of name of production”.

Step S51: Recognize the voice input in step S50. The voice recognition result (character string) is stored in a predetermined area of the RAM 27, for example.
Step S52: Based on the voice recognition result of the person in charge obtained in step S51, the corresponding product is extracted and stored from all the products (extracted products if already extracted). Specifically, if the list is not already displayed, the label printer 1 recognizes the voice recognition result of the person in charge obtained in step S51 and the production name recognition setting file (see FIG. 5B). , For example, the character string 1 “Ibaraki” corresponding to the phrase group (phrase 1 “Ibaraki”, phrase 2 “Ibaraki”, phrase 3 “produced in Ibaraki”) related to the speech recognition result “Ibaraki”. When they match, the product information of the product with the product name including either the phrase 1 “Ibaraki” or the phrase 2 “Ibaraki Prefecture” or the phrase 3 “Ibaraki Prefecture” (as a result, the item name including the phrase 1 “Ibaraki”) Extracted from the master file (FIG. 3A) and newly stored in the extraction result file (see FIG. 3B). On the other hand, when the list is displayed, the label printer 1 uses the above-described product information (a product with a product name including either the phrase 1 “Ibaraki” or the phrase 2 “Ibaraki” or the phrase 3 “Ibaraki”). Information) is extracted from the extraction result file, and only the extracted products are stored in the extraction result file (that is, the product information that has not been extracted is deleted from the extraction result file).

Step S53: It is determined whether or not the extraction result in step S52 is one. If there is one (step S53; YES), the process proceeds to step S33 in FIG. If there is not one (step S53; NO), the process proceeds to step S54.

Step S54: A list of extraction results is displayed. That is, a plurality of products (specifically, product numbers, product names, etc.) extracted in step S52 are displayed in a list. Then, the process returns to step S10 in FIG.

  FIG. 8 is a diagram illustrating a display example in the label printer 1. FIGS. 8A to 8D show display examples in processing (see FIGS. 6 and 7) for selecting a product for which a label is issued.

  A screen 70 in FIG. 8A is a screen displayed on the operation display unit 13 at the start of the flowchart in FIG. On the screen 70 in FIG. 8A, a menu 71, a voice recognition mark 72 indicating that “voice recognition” is declared, and the like are displayed.

  From the scene in FIG. 8A, when the person in charge performs extraction with the product name “wagyu” and further performs extraction with the product name “Shabu Shabu” (the label printer 1 extracts the product name as the first extraction (“WA 8) and product name extraction (“Shabu Shabu”) is executed as the second extraction), the label printer 1 displays an extraction result screen 75 (list display area 76) as shown in FIG. List the extraction results.

  That is, as the first extraction, the label printer 1 obtains the product information of the product with the product name including the words (phrase 1, word 2,...) Included in the word group (not shown) related to “Wagyu”. The files are extracted from the file (step S42 in FIG. 7B), and the extraction results are displayed as a list (not shown) (step S44 in FIG. 7B). Furthermore, as a second extraction, the label printer 1 has a product name including a phrase (phrase 1 “Shabu Shabu”, phrase 2 “Shabu Shabu”) included in a phrase group (see FIG. 5A) related to “Shabu Shabu”. Product information of the product is extracted from the extraction result file (step S42), and the extraction results are displayed as a list as shown in FIG. 8B (step S44). In addition to the list display area 76, the extraction result screen 75 is provided with an extraction number display area 77 and an extraction condition display area 78.

  8B, when the person in charge performs extraction by the production area “Ibaraki” (when the label printer 1 executes the production area name extraction (“Ibaraki”) as the third extraction), the label printer 1 displays a list of extraction results on the extraction result screen 75 (list display area 76) as shown in FIG.

  That is, the label printer 1 extracts the words (phrase 1 “Ibaraki”, the phrase 2 “Ibaraki Prefecture”, the phrase 3 “Ibaraki Prefecture”, and the phrase 3 “” included in the phrase group related to “Ibaraki” (see FIG. 5B) as the third extraction. Product information of products having product names including “Ibaraki Prefecture” is extracted from the extraction result file (step S52 in FIG. 7C), and the extraction results are displayed in a list as shown in FIG. 8C (FIG. 7). (C) Step S54).

  After the scene of FIG. 8 (C), when the extraction result finally becomes one, the label printer 1 stores the product information (product name, unit price, etc.) of the one item as shown in FIG. 8 (D). It is displayed on the screen 70 (step S33 in FIG. 7A).

  9 and 10 are flowcharts showing an example of the operation of the label printer 1. The flowcharts of FIGS. 9 and 10 indicate whether or not the print content (product information) of a predetermined item is correct in a preview image (print image) of a product (product selected by the processing shown in FIGS. 6 and 7). The flow of processing for checking is shown. The flowchart of FIG. 9 starts after the preview image is displayed (for example, after the preview image is displayed on the screen 70 as shown in FIG. 11A). Note that at the start of the flowchart of FIG. 9, the label printer 1 is not controlled to be in a printable state, and is controlled to be in a printable state in the process of step S134 in FIG. In the description of FIGS. 9 and 10, a part or all of the description of the same contents as those already described in FIGS. 6 and 7 is omitted.

(Flowchart in FIG. 9)
Step S110: It is determined whether or not there is a voice input. If there is a voice input (step S110; YES), the process proceeds to step S112. If there is no voice input (step S110; NO), the process returns to step S110.

Step S112: Recognize the voice input in step S110. The voice recognition result (character string) is stored in a predetermined area of the RAM 27, for example.
Step S114: It is determined whether or not printing can be issued. If it is determined that printing can be issued (step S114; YES), the process proceeds to step S120. If it is determined that printing is not possible (step S114; NO), the process proceeds to step S116. Note that it may be determined whether or not printing can be issued based on a printability flag (described later) or a confirmed flag.

Step S116: It is determined whether or not the instruction command by the person in charge is “item confirmation (see FIG. 4A)”. If it is determined that the item is “confirmed” (step S116; YES), the process proceeds to step S130 in FIG. If it is determined that it is not “item confirmation” (step S116; NO), the process proceeds to step S118.

Step S118: It is determined whether or not the instruction command by the person in charge is “enlargement (see FIG. 4A)”. If it is determined to be “enlarge” (step S118; YES), the process proceeds to step S140 in FIG. When it is determined that it is not “enlargement” (step S118; NO), the process returns to step S110.

Step S120: It is determined whether or not the instruction command by the person in charge is “issue (see FIG. 4A)”. If it is determined that it is “issue” (step S120; YES), a label is printed and issued. Then, the flowchart shown in FIGS. 9 and 10 ends.

(Flowchart in FIG. 10A)
Step S130: It is determined whether or not there is a voice input. If there is a voice input (step S130; YES), the process proceeds to step S131. If there is no voice input (step S110; NO), the process returns to step S130. That is, after accepting the command “item confirmation”, the label printer 1 waits for an instruction for an item name (phrase) by voice input from the person in charge, and if there is an instruction, proceeds to step S131.

Step S131: Recognize the voice input in step S130. The voice recognition result (character string) is stored in a predetermined area of the RAM 27, for example.
Step S132: The corresponding item is changed to confirmed based on the voice recognition result of the person in charge obtained in step S131. For example, the label printer 1 changes the display mode of the corresponding item to the confirmed display mode so that it can be distinguished from the confirmation waiting item. Further, the label printer 1 is provided with a confirmed flag (initial value is “0 (waiting for confirmation)”) indicating whether or not each item included in the product information (each item that needs to be confirmed) has been confirmed. In the processing, the confirmed flag corresponding to the corresponding item may be changed to “1 (confirmed)”.

Step S133: It is determined whether or not all items (all items requiring confirmation) have been confirmed. For example, the determination is made by referring to the above-described flag. If all items have been confirmed (step S133; YES), the process proceeds to step S134. If at least one item has not been confirmed (step S134; NO), the process returns to step S110 in FIG.

Step S134: Control is performed to enable printing. A printability flag (initial value is “0 (printing is not possible)”) indicating whether or not printing is possible is provided, and the printability flag is set to “1 (printing is possible)” in this processing. Good. Then, the process returns to step S110 in FIG.

(Flowchart in FIG. 10B)
Step S140: It is determined whether or not there is a voice input. If there is a voice input (step S140; YES), the process proceeds to step S141. If there is no voice input (step S140; NO), the process returns to step S140. That is, after receiving the command “enlargement”, the label printer 1 waits for a subcommand instruction by voice input from the person in charge, and if there is an instruction, proceeds to step S141.

Step S141: Recognize the voice input in step S140. The voice recognition result (character string) is stored in a predetermined area of the RAM 27, for example.
Step S142: A preview image is displayed based on the speech recognition result of the person in charge obtained in step S141. Specifically, the label printer 1 refers to the speech recognition result of the person in charge obtained in step S141 and the subcommand (enlarged) recognition setting file (see FIG. 4C), for example, If the voice recognition result matches either the character string 1 “Himei” or the character string 2 “Himee” corresponding to the subcommand “product name”, the instruction subcommand is determined to be “product name”. The product name part of the preview image is enlarged and displayed. Then, the process returns to step S110 in FIG.

  FIG. 11 is a diagram illustrating a display example in the label printer 1. FIGS. 11A to 11D show display examples in processing (see FIGS. 9 and 10) for confirming whether the print contents (product information) of a predetermined item are correct in the preview image. ing.

  The label printer 1 displays a preview image 80 on the screen 70 as shown in FIG. FIG. 11B is an enlarged view of the preview image 80 in FIG. As shown in FIG. 11A and FIG. 11B, the preview image 80 displays a confirmation mark 82 that is a confirmation item indicating that it is a confirmation item. According to FIG. 11A, the confirmation items are the item name “product name”, the item name “origin”, the item name “price”, the item name “additive”, and the item name “consumption” with the confirmation mark 82 required. "Deadline". In addition, what is necessary is just memorize | stored for every goods (for example, goods master file) whether it corresponds to a confirmation item.

  Note that the label printer 1 displays a screen 70 as shown in FIG. 11 (A) when an instruction from the person in charge (instructed voice (not shown)) is given after the product is selected (in the scene of FIG. 8 (D)). The preview image 80 may be displayed, or the preview image 80 may be automatically displayed on the screen 70 as shown in FIG. 11A even if there is no instruction from the person in charge (for example, after one second). Further, when the label printer 1 finally has one extraction result, the preview image 80 is displayed on the screen 70 from the beginning as shown in FIG. 11A (the display of FIG. 8D is omitted). May be.

  When the person in charge confirms the item (production area “Ibaraki”) as the item confirmation from the scene of FIG. 11B (when the label printer 1 executes the item confirmation (production area “Ibaraki”)), the label printer As shown in FIG. 11C, 1 deletes the confirmation mark 82 that was attached to “Ibaraki product” in the preview image 80.

  That is, the label printer 1 refers to the confirmation item name recognition setting file (see FIG. 5C), and the voice recognition result is the character string 1 “Sanchi” or the character string 2 corresponding to the item name “production center”. It is determined that it matches either “sanchimei” or the character string “sanchimei”, and the input of the item name “origin” is recognized (step S131 in FIG. 10A). Subsequently, the label printer 1 deletes the confirmation mark 82 requiring the item (“production center”) (step S132 in FIG. 10A).

  After the confirmation of all the confirmation items after the scene of FIG. 11C, all the confirmation marks 82 that are required are erased, and control is performed so that printing can be issued (step S134 in FIG. 10A).

  The embodiment of the present invention has been described above, but the configuration of the apparatus, the configuration of data, the processing shown in the flowchart, the configuration of the screen, the transition of the screen, and the like can be arbitrarily changed and changed without departing from the spirit of the present invention. Correction is possible.

  For example, in the above embodiment, the confirmation items are “product name”, “production area”, “price”, “additive”, “expiration date” (see FIGS. 11 and 12), but other items are confirmation items. It is good. For example, items related to special price, unit price, weight, selling price, raw materials, allergies, etc. may be used as confirmation items.

  Further, the wording of advertisement (promotion) may be displayed on the label. For example, use the commands “Advertise Search (Kokokoku, Kokukoku Kensaku)” and “Daily Sale (Oyasuri, Tokubetsuhanbai, Tokubai, Tokka)” to display a list of words related to great selling along with the ad number. A selection screen for selection may be displayed, and selection may be made by “advertising number” “0023” while narrowing down (for example, a phrase such as “time sale”) as appropriate.

  In the above-described embodiment, the case has been described where there is no problem as the print content (stored content of the product master file) for the confirmation item (when it is determined “correct” in the determination of correctness), but there is a problem with the content (correctness) In the case of “No” in this determination), addition, correction, or deletion processing may be executed by voice for the confirmation item. For example, after adding the command “modify item” and the item name (also used as the confirmation item name recognition setting file), add and correct it by generating the correct contents (if it is corrected) , It will be either added or corrected depending on the original content and the correct content), and if it is deleted, it will be pronounced as “deleted” or “blank” (kuran, none, shokyo) For example, if there is no problem after the command “item check” and the item name, “OK (OK, OK, OK)” is pronounced to complete. If there is a problem, it may be added, corrected, or deleted as described above after pronounced “correction”.

  FIG. 12 is a diagram illustrating a display example in the label printer 1. In the display example shown in FIG. 11, when a certain confirmation item is confirmed, the confirmation mark 82 required for the confirmation item is erased (that is, the added (displayed) mark is erased. However, other methods may be used as long as the confirmed item and the unconfirmed item can be distinguished. For example, instead of deleting the confirmation mark 82 requiring confirmation as shown in FIG. 11C, a confirmed mark 84 may be added as shown in FIG. 12A (that is, another mark is further added after confirmation). Also good). In FIG. 12A, the confirmation mark 84 is added without erasing the confirmation mark 82, but the confirmation mark 84 may be added after erasing the confirmation mark 82 (that is, confirmation). You may change the mark later). In addition, it is preferable that the confirmation mark 82 and the confirmed mark 84 have different colors and thicknesses.

  In the above embodiment, the confirmation item is confirmed by reading the item name of the confirmation item. However, the item name of the confirmation item and information of the confirmation item (for example, if the confirmation item is the production area, the production area name, confirmation If the item is a product name, the confirmation item may be confirmed by reading out the product name). For example, in the above embodiment, when “Ibaraki” is displayed in the item “production area” of the preview image 80, the person in charge confirms the item “production area” by pronouncing “sanchi”. The item “production area” may be confirmed by causing the person to pronounce “Ibaraki” after “Sanchi”. Note that the label printer 1 recognizes the command “product name extraction” with the first speech recognition result and extracts the phrase “with the second speech recognition result, for example, when extracting the product name with the phrase“ A ”when selecting a product. The voice recognition is performed twice, such as recognizing “A” (the subcommand is the same as the command), but the voice recognition is performed twice even when the confirmation is made based on the item name of the confirmation item and the information of the confirmation item. You may do it.

  When the label printer 1 cannot narrow down to one when one piece of information should be specified based on the voice recognition result (that is, when a plurality of candidates are found from the voice recognition result), the label printer 1 has a plurality of candidates. May be displayed so that the person in charge can select it. For example, as shown in FIG. 11B, merchandise name candidates may be displayed in the candidate list area 89, and the person in charge may be selected by a number (an example of identification information). In addition, FIG. 11 (B) shows “Wagyu Lotus Shabu Shabu” when confirming the item “Product Name” by causing the person in charge to pronounce “Himmei” followed by “Wagyu Lotus Shabu Shabu”. In this example, the product name corresponding to "" cannot be narrowed down to one. The same applies when the number of commands, subcommands, etc. cannot be narrowed down to one.

  FIG. 13 is a flowchart illustrating an example of the operation of the label printer 1. The label printer 1 may execute the flowchart shown in FIG. 13 instead of the flowchart shown in FIG. Note that the flowchart of FIG. 13 is started in response to the command “issue”. 13 is the same as the process of each step having the same name in FIG. 9 (the process of step S204 of FIG. 13 is the same as the process of step S114 of FIG. 9 and the process of step S210 of FIG. 13). The process is the same as the process of step S110 of FIG. 9, the process of step S212 of FIG. 13 is the same as the process of step S112 of FIG. 9, the process of step S216 of FIG. 13 is the same as the process of step S116 of FIG. The process of step S218 is the same as the process of step S118 of FIG. 9, and the process of step S222 of FIG. 13 is the same as the process of step S122 of FIG.

  That is, in the flowchart shown in FIG. 9, the confirmation items are confirmed before the command “issue (see FIG. 4A)”, and after confirmation of all the confirmation items is completed and the printing can be issued (FIG. 9). In step S114 (YES)), in response to the command “issue” (step S122 in FIG. 9 (YES)), the label is printed and issued, but as shown in FIG. 13, confirmation is made in response to the command “issue”. When the items are confirmed and the confirmation of all the confirmation items is completed and printing can be issued (step S204 in FIG. 13 (YES)), the label may be printed and issued.

  In the example shown in FIG. 11A, the preview image 80 of the entire label is displayed on the screen 70, but the entire label may not always be displayed on the screen 70. For example, when the label is long, the preview image 80 of the entire label is displayed on the screen 70, so that characters and the like become too small. Therefore, the preview image 80 of a part of the label may be displayed on the screen 70. Note that when a preview image 80 of a part of the label is displayed on the screen 70 for confirmation by voice recognition instead of touching the screen or the like (that is, the part other than the part is not displayed on the screen 70). The confirmation items of the part not currently displayed can also be confirmed.

  It should be noted that the product extraction (selection, narrowing down) result may be temporarily stored so as to be useful for the subsequent product extraction. For example, a file for temporary storage is prepared separately from the extraction result file, and each stage stored in the extraction result file (or a certain stage (for example, a stage that is first narrowed down to less than 20), the same applies hereinafter). The extraction result may be always saved in a temporary storage file before being erased. In other words, the extraction result at each stage may be left in the file for temporary storage as history information. When a new product is extracted, instead of extracting the target product from all the products stored in the product master file, past search results stored in the temporary storage file (already narrowed down) The product may be extracted or specified again from among the existing products. As a result, for example, “Fille”, “Sirloin”, “...” for a plurality of products with different product names common to “for Kobe steak” from 7 to 8 items narrowed down for “for Kobe steak”. When several labels are issued in succession, it is possible to greatly simplify the trouble of narrowing down the products from the beginning. In addition, as a command in the case of reusing the past extraction result, for example, a command “reuse” or “continuous” may be used.

  Moreover, although the said embodiment demonstrated the label issuing apparatus used in a food factory or a supermarket, it is applicable also to another scene and another apparatus regarding speech recognition. As an example, the present invention can also be applied to a POS register used in a mass retailer, a restaurant, or a cleaning store. Specifically, for example, products that do not have barcodes, such as fruits and vegetables (cabbage, Chinese cabbage), etc. that require a preset call, etc. It is particularly effective. Even in the case of a cleaning store, depending on the picked-up products, there are operations in which there are a plurality of types, and there are operations in which preset options such as finishing options and work instructions to the factory are designated, which is also effective in this case. It can also be used to narrow down the order data from the corresponding product, such as when the customer forgets to keep a copy of the reserved product or the finished product.

  A program for realizing the functions (all or a part) of the label printer 1 described above is recorded on a computer-readable recording medium, and the program is read into a computer system and executed. Good. Here, the “computer system” includes an OS and hardware such as peripheral devices. The “computer-readable recording medium” refers to a storage device such as a flexible medium, a magneto-optical disk, a portable medium such as a ROM and a CD-ROM, and a hard disk incorporated in a computer system. Further, the “computer-readable recording medium” refers to a volatile memory (RAM) in a computer system that becomes a server or a client when a program is transmitted via a network such as the Internet or a communication line such as a telephone line. In addition, those holding programs for a certain period of time are also included. The program may be transmitted from a computer system storing the program in a storage device or the like to another computer system via a transmission medium or by a transmission wave in the transmission medium. Here, the “transmission medium” for transmitting the program refers to a medium having a function of transmitting information, such as a network (communication network) such as the Internet or a communication line (communication line) such as a telephone line. The program may be for realizing a part of the functions described above. Furthermore, what can implement | achieve the function mentioned above in combination with the program already recorded on the computer system, what is called a difference file (difference program) may be sufficient.

Regarding the above description, the following additional notes are disclosed.
(Appendix 1)
Extraction method designation means (for example, steps S14, S16, and S18 in FIG. 6) for designating a product extraction method (for example, product name extraction, production name extraction, product number extraction, etc.) by voice when extracting product information;
Product information extraction means for extracting product information by the product extraction method designated by the extraction method designating means (for example, the first processing in FIGS. 7A to 7C),
Product information narrowing means (for example, the second and subsequent times in FIG. 7 (A) to FIG. 7A) that narrows down product information from the product information extracted by the product information extracting means (for example, product information stored in the product extraction file). 7 (C), etc.)
At the stage of narrowing down the product information by the product information narrowing means, the product extraction method can be switched based on voice (for example, product name extraction until FIG. 8B, production name extraction in FIG. 8C) A label issuing apparatus comprising: a product extraction method switching means (for example, steps S14, S16, S18 in FIG. 6).
According to the above configuration, work efficiency can be improved and hygiene management can be strengthened.

(Appendix 2)
When the product information narrowing means narrows down to one product information, a correction means capable of executing addition, correction or deletion processing by voice for a predetermined item (for example, a confirmation item) included in the product information The label issuing device according to appendix 1, further comprising (for example, processing for executing addition, correction, or deletion by a command “item correction” or the like).
According to the above configuration, the work efficiency can be further improved and the hygiene management can be further strengthened.

(Appendix 3)
When the product information narrowing means narrows down to one product information (when a product that issues a label is specified (selected)), a predetermined item included in the product information (for example, as shown in FIG. 11A) Supplementary note 1 or Supplementary note 2, further comprising: correctness determination means (for example, the processes of the flowcharts of FIGS. 8, 9, and 13) capable of executing a correct / incorrect determination with a voice Label issuing device.
According to the above configuration, the work efficiency can be further improved and the hygiene management can be further strengthened.

(Appendix 4)
The predetermined item is:
The label issuing device according to Appendix 2 or 3, wherein the label issuing device includes at least one of a product name, a place of production, a sale, a unit price, a weight, a selling price, a raw material, an additive, a nutritional component, and an allergy.
According to the above configuration, it is possible to determine whether the important item is correct or not.

(Appendix 5)
The correctness determination means includes
First correctness determination means for determining that the predetermined item is correct when the voice recognition result indicates the name of the predetermined item;
The label issuing apparatus according to appendix 3, further comprising: second correct / incorrect determination means for determining that the predetermined item is correct when a voice recognition result indicates a combination of the name and information of the predetermined item. .
According to the above configuration, the determination can be suitably performed.

(Appendix 6)
6. The label issuing device according to appendix 5, wherein the correctness determination unit is capable of switching between determination by the first correctness determination unit and determination by the second correctness determination unit based on voice.
According to the above configuration, the determination method can be easily and suitably selected.

(Appendix 7)
The correctness determination means includes
When the speech recognition result indicates a plurality of information of the predetermined item, the plurality of information is displayed together with the identification information,
The supplementary note 3, supplementary note 5 or supplementary note 6, wherein, when a second speech recognition result indicates any one of the identification information, it is determined that the predetermined item identified by the identification information is correct. Label issuing device.
According to the said structure, working efficiency can be improved more.

(Appendix 8)
The label issuing apparatus according to any one of appendix 2 to appendix 7, further comprising display means capable of displaying the predetermined item in a display mode different from other items.

(Appendix 9)
Any one of Supplementary notes 3, 5, 6, and 7 comprising display means capable of displaying the predetermined item determined to be correct by the correctness determination means in a display mode different from the other predetermined items. The label issuing device described.
According to the said structure, working efficiency can be improved more.

(Appendix 10)
The correctness determination means includes
8. The label issuing device according to any one of appendices 3, 5, 6, and 7, wherein whether or not the predetermined item that is not currently displayed is correct can be determined.
According to the said structure, working efficiency can be improved more.

(Appendix 11)
11. At least one of the extraction method designating unit, the product information extracting unit, and the product information narrowing unit is operable based on a voice, according to any one of appendix 1 to appendix 10, Label issuing device.
According to the said structure, working efficiency can be improved more.

(Appendix 12)
12. The label issuing device according to any one of appendix 1 to appendix 11, wherein at least a product extraction method based on a product name and a product extraction method based on a production area name can be specified by the extraction method designating unit.
According to the said structure, working efficiency can be improved more.

(Appendix 13)
The computer of the label issuing device that issues labels
When extracting product information, an extraction method specifying means for specifying a product extraction method by voice;
Product information extracting means for extracting product information by the product extraction method specified by the extraction method specifying means;
Product information narrowing means for narrowing down product information from the product information extracted by the product information extracting means;
A program for functioning as a product extraction method switching unit capable of switching the product extraction method based on voice at the stage of narrowing down product information by the product information narrowing unit.
According to the said structure, working efficiency can be improved more.

(Appendix 14)
Extraction method designating means (for example, steps S14, S16, and S18 in FIG. 6) for designating a product extraction method (for example, product name extraction, production area name extraction, product number extraction, etc.) when extracting product information;
Product information extraction means for extracting product information by the product extraction method designated by the extraction method designating means (for example, the first processing in FIGS. 7A to 7C),
Product information narrowing means (for example, the second and subsequent times in FIG. 7 (A) to FIG. 7A) that narrows down product information from the product information extracted by the product information extracting means (for example, product information stored in the product extraction file). 7 (C), etc.)
When the product information narrowing means narrows down to one product information (that is, when a product issuing a label is specified (selected)), a predetermined item included in the product information (for example, FIG. 11A) A label issuing device comprising: correctness determination means (for example, the processes of the flowcharts of FIGS. 8, 9, and 13) for determining correctness based on voice for the production area and product name shown in FIG.
According to the said structure, working efficiency can be improved more.

1 Label printer (label issuing device, label printing device)
DESCRIPTION OF SYMBOLS 10 Base part 13 Operation display part 13a Liquid crystal display 13b Touch panel 15 Key operation part 17, 19 Label issuing port 20 Control part 21 CPU
22 Load Cell Control Unit 23 Print Control Unit 24 Operation Control Unit 25 Display Control Unit 26 ROM
27 RAM
28 voice control unit 30 scale unit 31 load cell 40 printing unit 41 first printing mechanism unit 43 second printing mechanism unit 50 operation unit 60 microphone 70 screen 71 menu 72 voice recognition mark 75 extraction result screen 76 list display area 77 extraction number display area 78 Extraction condition display area 80 Preview image 82 Confirmation mark required 84 Confirmed mark 89 Candidate list area

Claims (5)

When extracting product information, an extraction method specifying means for specifying a product extraction method by voice;
Product information extracting means for extracting product information by the product extraction method specified by the extraction method specifying means;
Product information narrowing means for narrowing down product information from the product information extracted by the product information extracting means;
A label issuing apparatus, comprising: a product extraction method switching unit capable of switching the product extraction method based on voice at the stage of narrowing down the product information by the product information narrowing unit.   When the product information is narrowed down to one product information by the product information narrowing-down means, a correction unit is provided that can execute addition, correction, or deletion processing by voice for a predetermined item included in the product information. The label issuing apparatus according to claim 1.   2. The apparatus according to claim 1, further comprising: a correct / incorrect determination unit capable of executing correct / incorrect determination by voice for a predetermined item included in the product information when the product information is narrowed down to one item of product information. The label issuing apparatus according to claim 2. The predetermined item is:
The label issuing device according to claim 2 or 3, comprising at least one of a product name, a place of production, a sale, a unit price, a weight, a selling price, raw materials, additives, nutritional components, and allergies. . The correctness determination means includes
First correctness determination means for determining that the predetermined item is correct when the voice recognition result indicates the name of the predetermined item;
4. The label issuance according to claim 3, further comprising: second correct / incorrect determination means for determining that the predetermined item is correct when the voice recognition result indicates a combination of the name and information of the predetermined item. apparatus.

Images