JP2014139847A - Stationary scanner, pos terminal and settled article selecting method - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a stationary scanner capable of shortening a key input time of data relating to an article to which a barcode is not deposited.SOLUTION: Image data which are obtained by imaging an article to be settled by means of a camera 10 disposed by the side of a barcode scanner 13 are processed by an image recognition processing section 20 and a shape of the article is recognized. Therefore, when settling an article to which a barcode is not deposited, candidates of the article to be settled are selected and displayed as an article selection screen on a display 14 with a touch panel 14a. The image recognition processing section 20 registers a basic shape beforehand as image data specifying a shape of each article, compares the image data of the article to be settled with the basic shape relating to each article to calculate a correlation value of both, and selects an article of the basic shape of which the calculated correlation value is equal to or more than a predetermined correlation threshold, as a candidate of the article to be settled.

Description

  The present invention relates to a stationary scanner, a POS (Point Of Sales) terminal, a settlement product sorting method, a settlement product sorting program, and a program recording medium, and in particular, a register of a settlement place (charge payment place: cash register) such as a supermarket or a mass retailer. The present invention relates to a stationary scanner, a POS terminal, a settlement product sorting method, a settlement product sorting program, and a program recording medium applied in a terminal or the like.

  Conventionally, in a register terminal installed at a payment place (charge payment place: cash register) such as a supermarket or a mass retailer, products with barcodes are input by a barcode input device and cannot be attached with barcodes. The product inputs product data using a keyboard. For this reason, depending on the level of skill of the clerk, there will be a large difference in the input time of products that are not attached with barcodes. Customers in line are waiting longer and complaining.

  In order to solve such a situation, a touch panel type LCD keyboard as shown in FIG. 10 is used as a keyboard as proposed in Japanese Patent Application Laid-Open No. 9-245253 of “Patent Document 1”. It is possible to display items related to products that are not attached with barcodes, and to enable the store clerk to view the display contents and make input using the touch panel, or as disclosed in Japanese Patent Application Laid-Open No. 2000-339550, “Operation Panel”. As proposed in “Control Device”, products that sell well can be displayed as a priority group on one page as shown in FIG. 11 and displayed on a touch panel display to reduce key operations. Attempts have been made. FIG. 10 is a schematic diagram showing an example of a product display method in a conventional register terminal, and FIG. 11 is a schematic diagram showing another example of a product display method in a conventional register terminal. In addition, in Japanese Patent Laid-Open No. 2002-74511 “Product Sales Registration Data Processing Device” of Patent Document 3, a product without a barcode is sold by extracting and registering appearance features of the product without a barcode. At that time, an attempt has been made to display a registered product that approximates the characteristics of an image obtained by capturing the sold product and to process the sales of the sold product.

JP-A-9-245253 (page 3-4) JP 2000-339550 A (pages 4-6) JP 2002-74511 A (Page 3-5)

  However, products that do not have a barcode are often changed every week or at an arbitrary time zone. For this reason, the arrangement of keys changes depending on the time zone. Solves the problem of long customer registration waiting time due to the time and effort required to operate the touch panel and key input, even if a special device is used. Can not do it.

  In addition, because the handling operation of the product when trying to make a payment differs between the product without a barcode and the product with a barcode, it is also a factor that the store clerk cannot perform quick payment processing. It has become one of the.

  Further, in the mechanism as described in Patent Document 3, when there are similar products such as “cabbage” and “lettuce” as products without barcodes, in the case of a store clerk who has little experience, he / she tries to make a settlement. In some cases, it may not be possible to easily determine which product is a product, and smooth settlement processing cannot be performed.

  The present invention has been made in view of such circumstances, and a stationary scanner, a POS terminal, a settlement product sorting method, and a settlement product sorting program capable of reducing the key input time of data relating to a product to which a barcode is not attached. And it aims at providing a program recording medium.

  In order to solve the above-described problems, the stationary scanner according to the present invention employs the following characteristic configuration.

  (1) A stationary scanner that reads a barcode attached to a product with a barcode scanner in order to settle the product, an imaging unit that captures the product to be settled and acquires image data; Image recognition processing means for processing the image data of the product acquired by the imaging means to recognize the shape of the product, and when the product without a barcode is settled, the image recognition processing means A stationary scanner that selects candidates for a product to be settled based on a recognized product shape and displays the screen as a product selection screen on a display.

  According to the stationary scanner, the POS terminal, the settlement product sorting method, the settlement product sorting program, and the program recording medium of the present invention, the following effects can be obtained.

  First, even when a product whose bar code is not attached to the product is settled, the product to be settled is automatically captured by an imaging means, for example, a camera, and image recognition of the product is performed. The product candidates selected based on the results are displayed on the screen as a product selection screen consisting of touch-type product buttons, thereby supporting the product selection operation of the store clerk, so even an inexperienced store clerk The product to be settled can be discriminated, and the product button can be quickly pressed (touching the screen if it is a touch panel type) to perform the settlement process.

  Second, even if an image pickup means such as a camera is arranged in the vicinity (for example, the side) of the barcode scanner, a product without a barcode attached such as vegetables or fish is to be settled. If the store clerk performs the operation of moving the item to be settled on the surface of the barcode scanner and moving it to the settled basket, just as in the case of a normal item with a barcode attached. Well, it is possible to perform faster settlement processing by standardizing the handling operation of the product.

  Third, even when similar products such as “cabbage” and “lettuce” are displayed on the product selection screen as product candidates of the image recognition result, a predetermined time as a product selection waiting time is set. After the elapse, auxiliary information on how the clerk distinguishes each product is automatically displayed as a product selection auxiliary screen, so the clerk can correctly determine the product to be settled, and click the appropriate product button. The payment process can be performed by pressing the button correctly.

  Fourth, when the product to be settled can be specified by the image recognition process based on the image data captured by the imaging means, for example, the camera, it is possible to automatically perform all the settlement processing of the product. However, the recognition rate in the current image recognition technology is not necessarily 100%. For this reason, the graphic data of each product is registered in advance as a reference graphic, and based on the comparison result between the image data captured by the imaging means, for example, a camera, and each reference graphic, the correlation value between the two is determined in advance. By extracting the products corresponding to the reference graphic that is higher than the threshold value, a mechanism for narrowing down product candidates related to the products to be settled is adopted, and the products to be settled can be identified more reliably.

  Fifth, when a plurality of products corresponding to a reference graphic higher than the correlation threshold are extracted, a plurality of product candidates obtained as a selection result by image processing are displayed on a screen as a product selection screen. Specifically, the store clerk can select the correct product from the product selection screen, and can definitely select the correct product.

It is a perspective view showing an outline of a stationary scanner of an embodiment of the present invention. It is a block block diagram which shows the block configuration of the stationary scanner of embodiment of this invention. It is a screen figure which shows an example of the initial screen displayed on the LCD display of the stationary scanner which concerns on this invention. It is a schematic diagram for demonstrating an example of operation | movement of the stationary scanner which concerns on this invention. It is a flowchart which shows an example of operation | movement of the image recognition process part in the stationary scanner which concerns on this invention. It is a screen figure which shows an example of the goods selection screen displayed on a screen as an image recognition result of goods on the LCD display of the stationary scanner which concerns on this invention. It is a screen figure which shows an example of the image group change instruction | indication screen when the product group different from the image recognition result of goods is displayed on the LCD display of the stationary scanner which concerns on this invention. It is a screen figure which shows an example of the goods selection auxiliary | assistance screen displayed on a LCD display of the stationary scanner which concerns on this invention. It is a schematic diagram which shows the example which applied the structure of this invention to the self POS terminal. It is a schematic diagram which shows an example of the goods display method in the conventional register | resistor terminal. It is a schematic diagram which shows the other example of the goods display method in the conventional register | resistor terminal.

  Preferred embodiments of a stationary scanner, a POS (Point Of Sales) terminal, a settlement product sorting method, a settlement product sorting program, and a program recording medium according to the present invention will be described below with reference to the accompanying drawings. In the following description, a stationary scanner and a settlement product selection method according to the present invention will be described. However, a POS terminal equipped with such a stationary scanner may be configured as a POS terminal that performs merchandise settlement processing. Further, the settlement product sorting method may be implemented as a settlement product sorting program that can be executed by a computer, or the settlement product sorting program may be recorded on a computer-readable recording medium. Needless to say.

(Features of the present invention)
Prior to the description of the embodiments of the present invention, an outline of the features of the present invention will be described first. The present invention relates to a stationary scanner that is preferably used particularly in a register terminal at a settlement location (charge payment location: cash register) such as a supermarket or a mass retailer, and an imaging means such as a camera is attached to the stationary scanner, The key feature is to shorten the key input time for products that are not barcoded by recognizing the shape of the product based on the information captured by the camera and displaying the key of the candidate product. Yes.

(Embodiment of the present invention)
Next, an example of the embodiment related to the stationary scanner of the present invention will be described. The stationary scanner according to the embodiment of the present invention is equipped with a camera in the vicinity of the scanner unit for scanning a product, that is, on the side, and scans a barcode attached to the product, and simultaneously analyzes the product image captured by the camera. The product is configured to be recognized. Here, as a shape recognition technique of an object, for example, as disclosed in Japanese Patent Application Laid-Open No. 07-065176 “Shape recognition device”, it is possible to quickly recognize even if an object (product) is rotated. Thus, a shape recognition method with a short processing time has been proposed.

  However, unfortunately, the shape recognition rate does not reach 100% even when a technique such as Japanese Patent Application Laid-Open No. 07-065176 is used. For this reason, in the embodiment of the present invention, an image input from a camera is processed as image data, and a shape is recognized by obtaining a correlation value with a figure serving as a reference of each product, and an object (product) The shape recognition technology that makes the judgment is adopted.

  Normally, among the obtained correlation values, an object (product) corresponding to the reference graphic with the highest correlation value is output as a recognition result, but the current situation is that correct shape recognition cannot always be performed. Therefore, in the present embodiment, a threshold value is provided for the correlation value, and for an object (product) having a correlation value equal to or higher than the threshold value as an image recognition result, a product candidate can be correctly recognized as the image recognition result. The product button color of the stationary scanner is changed and presented to the store clerk. The store clerk only has to select a product to be settled from among the product buttons whose colors have changed, and can speed up the product selection.

  On the other hand, if there is no product having a correlation value equal to or greater than the threshold value as a result of image recognition, the product button of the stationary scanner does not change, and the store clerk can perform product selection work as usual.

  Furthermore, as a result of the image recognition, a plurality of products exceed the threshold value, and a plurality of product buttons of the stationary scanner are colored, but the store clerk keeps all the product buttons for a predetermined time. If it is not pressed, the store clerk will determine that it is not possible to identify which of the products corresponds (for example, spinach and komatsuna are indistinguishable). The scanner shifts to a screen that displays auxiliary information indicating how to distinguish the products, and assists the store clerk to select the products. In other words, unlike the prior art, the present invention provides a determination assistance screen for the clerk to identify the product after the lapse of the certain time when there is no operation of the clerk for a certain time and the LCD screen is not switched. The LCD screen and operation of the stationary scanner are the same as those without image recognition, and function as an auxiliary function for human input operation.

(Configuration of the embodiment)
Next, a configuration example of the stationary scanner according to the embodiment of the present invention will be described with reference to FIGS. FIG. 1 is a perspective view illustrating an overview of a stationary scanner according to an embodiment of the present invention, and FIG. 2 is a block configuration diagram illustrating a block configuration of the stationary scanner according to the embodiment of the present invention.

  As shown in FIG. 1, the stationary scanner according to the embodiment of the present invention is fixed on a table 11 by legs 12. A barcode scanner 13 is disposed on the leg portion 12. Although not shown, the barcode scanner 13 scans by projecting laser light in all directions by rotating a mirror, and reads the reflected light of the projected light by a light receiving unit. . As a result, the held barcode can be read regardless of the orientation (direction) of the barcode on the barcode scanner 13. The read result is sent to a built-in CPU (Central Processor Unit).

  A camera 10 is attached to the side of the barcode scanner 13 to capture an image of a product held over the barcode scanner 13. The captured image is subjected to image recognition processing in a built-in image recognition processing unit, and an image recognition result is sent to a built-in CPU.

  Above the barcode scanner 13, an LCD display 14 with a touch panel 14a attached, and a keyboard 14b for inputting data such as quantity are mainly attached to the side of the LCD display 14.

  As shown in FIG. 2, the stationary scanner according to the embodiment of the present invention includes an image recognition processing unit 20, an audio processing unit 21, a speaker 22, a barcode scanner control unit 23, an LCD driver 24, a decoder 24a, and a CPU 25. ROM 26, RAM 27, and IF unit 28 are provided.

  As described above, the image recognition processing unit 20 processes the image captured by the camera 10 and transmits the image recognition result to the CPU 25. The voice processing unit 21 creates voice information for notifying a store clerk and outputs the voice information from the speaker 22. The barcode scanner control unit 23 controls the operation of the barcode scanner 13 and transmits the scan result of the barcode scanner 13 to the CPU 25. The LCD driver 24 drives the LCD display 14 according to an instruction from the CPU 25 and displays the screen. The decoder 24a decodes the position information touched on the touch panel 14a and transmits it to the CPU 25.

  The CPU 25 controls the overall operation of the stationary scanner. The ROM 26 is a non-volatile memory that stores various data such as information relating to programs and products, and setting data relating to stationary scanners. The RAM 27 is a random-accessible memory that stores various types of information such as information related to an image captured by the camera 10 and a shape recognition result and information displayed on the screen of the LCD display 14. The IF unit 28 manages an external interface function for exchanging information with an external POS (Point Of Sales) terminal.

(Description of operation of embodiment)
Next, the operation of the stationary scanner shown in FIGS. 1 and 2 will be described. FIG. 3 is a screen diagram showing an example of an initial screen displayed on the LCD display 14 of the stationary scanner according to the present invention. As shown in FIG. 3, for example, the left side of the initial screen initially displayed on the LCD display 14 with the touch panel 14a is not attached with a bar code such as “vegetables”, “fruits”, “fish”, “others”, etc. There is a product group button for multiple product groups (that is, for switching pages on the main screen on the right side of the screen), and the product group button at the top of the product group button, for example, the “vegetable” button is selected as the default Yes.

  On the main screen on the right side, as a screen to switch to and display the page for each product group, the name and photo for each product belonging to the product group selected by the product group button on the left side are listed as each product button. When the “vegetable” button is selected as the default product group button, the names of the products belonging to the “vegetable” product group and the photos of the products are displayed as “cabbage”, “lettuce”, “Hakusai”, “watercress”, “ Names and photos such as “Seri” ... are displayed in a list in the form of touch-type product buttons for selecting each product. Therefore, the clerk who sees the initial screen can intuitively recognize the product to be selected even if the product does not have a barcode, and if the user touches the display position of the corresponding product, the product Therefore, the store clerk can easily recognize the position of the product button for selecting each product, and the screen configuration of the initial screen is rich in operability.

(In the case of a conventional stationary scanner)
Here, first, in order to facilitate understanding of the operation of the stationary scanner of the present embodiment, the outline of the operation in the case of the conventional stationary scanner will be described. In the case of a conventional stationary scanner, the store clerk at the payment place (the cash register) sequentially takes out the products in the shopping basket brought by the customer, and the bar attached to the products in the barcode scanner window of the stationary scanner. Aim at the code and scan the barcode one by one. In the case of a product such as “cabbage” that is not attached with a barcode, a product such as “cabbage” that is not attached with a barcode is taken out of a shopping basket brought by the customer, and is placed in a stationary scanner. After moving to the settled basket containing the scanned product by, the keyboard of the stationary scanner is searched, the “cabbage” key arranged on the keyboard is pressed, and the product data relating to the cabbage is input.

(In the case of the stationary scanner according to this embodiment)
Next, the operation of the stationary scanner of this embodiment will be described. The clerk at the settlement place (the cash register) sequentially takes out the products in the shopping basket brought by the customer and puts the products in the window of the barcode scanner 13 of the stationary scanner as in the case of the conventional stationary scanner. Aim at the affixed bar code and scan the bar code for each product.

  Here, if the product does not have a barcode, for example, a product such as “cabbage”, unlike the conventional stationary scanner, as shown in FIG. 4, it is the same as the product with the barcode. Then, it passes through the window of the barcode scanner 13 of the stationary scanner and is transferred to the settled basket. FIG. 4 is a schematic diagram for explaining an example of the operation of the stationary scanner according to the present invention, showing an example of a movement route of a product when a product without a barcode, for example, “cabbage” is settled. Yes.

  A camera 10 for capturing an image of a product passing in front of the window of the barcode scanner 13 of the stationary scanner is attached to the side of the barcode scanner 13 of the stationary scanner. When “cabbage” passes through the stationary scanner, an image of the product, for example, “cabbage” is automatically taken by the camera 10 and transmitted to the image recognition processing unit 20 shown in FIG.

  In the image recognition processing unit 20 that has received the image data transmitted from the camera 10, the image recognition relating to the image data that may have been received as a product without a barcode according to the procedure of the flowchart shown in FIG. 5. Process. FIG. 5 is a flowchart showing an example of the operation of the image recognition processing unit in the stationary scanner according to the present invention. FIG. 5A shows a flowchart, and FIG. 5B is given a barcode. An example of a correlation value with a reference graphic registered as each product without a barcode, calculated as a processing result of image data, for example, when image data related to “cabbage” is received as a non-product Is shown.

  The correlation value calculation result in FIG. 5B is an example in which the product group without the barcode is “vegetable” and the image data received from the camera 10 is “cabbage”. Further, in the lowermost part of FIG. 5B, a numerical value predetermined as a correlation threshold for extracting a product having a strong correlation with the image data of the received product (example of FIG. 5B) In this example, 80%) is set.

  In the flowchart of FIG. 5A, the image recognition processing unit 20 takes in the image data transmitted from the camera 10 (step S1), and digitizes it as graphic data for recognizing the shape of the taken-in image data. (Step S2). Next, in order to compare with the digitized data related to the reference graphic indicating the shape of each product registered in advance as a product without a barcode, it is registered in advance as a product without a barcode. A counter N for determining whether or not the number of products, that is, the number of reference figures has been reached is initially set to “1” (step S3).

  Thereafter, a correlation value between the reference graphic indicating the shape of the Nth product and the graphic data calculated in step S2 among the products registered in advance as products without a barcode is calculated. The correlation value calculation result table for setting the correlation value calculation result for each product as shown in FIG. 5B is stored (step S4). Next, it is determined whether or not the number of products registered in advance as products without barcodes, that is, the number of reference figures has been reached (step S5), and if not yet reached (NO in step S5) ), “1” is added to the counter N (step S6), the process returns to step S4, and the operation of calculating the correlation value with the next reference graphic is repeated.

  When the number of products registered in advance as products without barcodes, that is, the number of reference figures is reached (YES in step S5), barcodes are attached as shown in FIG. 5B. For all products that are registered in advance as non-commodity products, the correlation value with the reference graphic of each product is calculated and stored in the correlation value calculation result table, so each calculated correlation value and a product that has a strong correlation Is compared with a predetermined correlation threshold (step S7). As the comparison result, products having correlation values larger than the correlation threshold value (in the example of FIG. 5B, “cabbage” and “lettuce” having a correlation threshold value of 80% or more) are selected from the correlation value calculation result table. Extract and notify the CPU 25.

  The CPU that has received a notification of a product having a correlation value equal to or higher than the correlation threshold (“cabbage” and “lettuce” in the example of FIG. 5) from the image recognition processing unit 20, based on the image recognition result, as shown in FIG. Among the product buttons displayed on the LCD display 14 as an initial screen as the product candidates selected in this manner, the products notified from the image recognition processing unit 20 (“cabbage” and “lettuce” in the example of FIG. 5). Change the background color of the product button. FIG. 6 is a screen view showing an example of a product selection screen displayed as a product image recognition result on the LCD display 14 of the stationary scanner according to the present invention, and as a product image recognition result without a barcode attached. In this example, the selection of “cabbage” and “lettuce” is displayed on the LCD display 14.

  In the product selection screen shown in FIG. 6, as a method for setting the background color of the product button related to the selected product candidate, as illustrated as “display color example 1” on the right side of FIG. The background color is displayed separately according to the magnitude of the correlation value (in the case of display color example 1 in FIG. 6, “red” when the correlation value is 90% or more, and 80% or more and less than 90%) May display “pink”), or, as illustrated as “display color example 2”, the background color is displayed in a predetermined color according to the order of the correlation values ( In the case of display color example 2 in FIG. 6, the first place is “red”, the second place is “pink”, the third place is “yellow”, the fourth place is “Yamabuki”, and the fifth place is light yellow. May be displayed).

  Further, as an image recognition result in the image recognition processing unit 20, a product having a correlation value equal to or higher than the correlation threshold is added to a product group of “vegetable” such as “cabbage” and “lettuce” as in the example of FIG. In the case where the product belongs, the display on the LCD display 14 of the stationary scanner is not a “vegetable” page but another page, for example, a “fish” page as shown in FIG. In order to prompt the store clerk to change the product group button to “vegetables”, the CPU 25 that has received “cabbage” and “lettuce” as product candidates selected based on the image recognition result from the recognition processing unit 20. The page selection portion for changing to the “vegetable” page, that is, the background color of the product group button “vegetable” is changed and displayed on the LCD display 14.

  FIG. 7 is a screen diagram showing an example of an image group change instruction screen when a product group different from the product image recognition result is displayed on the LCD display 14 of the stationary scanner according to the present invention. Open the “Fish” page (the main screen displays a list of product buttons related to “Fish” as products that do not have barcodes), and the product belongs to the “Vegetable” product group (for example, The background color of the product group button (page switching button) of “vegetable” is changed to a different color (for example, “red”) when “cabbage” and “lettuce”) are received as product candidates based on the image recognition result. An example is shown.

  As shown in FIG. 7, in order to prompt the store clerk to change the product group button to be selected based on the image recognition result, instead of changing the background color of the product group button and displaying it on the screen, it is based on the image recognition result. It is also possible to automatically select a corresponding product group button and switch to a page displaying a list of products of the product group button.

  However, the more you become an experienced store clerk, the faster you identify the product group to which the product you want to settle and the selection of the corresponding product group button. In many cases, the button is switched to a page that displays a list of each product of the button, and the product button of the corresponding product is selected. Therefore, in the example shown in FIG. 7, in order to make the store clerk operating the stationary scanner learn a quick operation like an experienced store clerk, the product group button to be selected is changed based on the image recognition result, and the product An example is shown in which a display that prompts the user to switch to a page that displays a list of each product of the group button is performed, and the operation of automatically switching pages is not performed.

  Therefore, after the screen display for prompting page switching as shown in FIG. 7 is performed, the product group button to be selected is changed based on the image recognition result even if a predetermined switching waiting time has elapsed as the product selection waiting time. If the selection operation to switch to the page that displays each product of the product group button is not performed, the corresponding product group button is automatically selected based on the image recognition result. And you may make it switch to the page which displays each goods of the said goods group button as a list. Alternatively, when a predetermined switching waiting time has elapsed as a product selection waiting time, it is considered that the store clerk cannot select a product to be settled from among the product candidates as will be described later. Then, auxiliary information that assists in selecting a product may be displayed on the screen.

(Product selection support function)
Product selection screen as shown in FIG. 6 (in the screen display example of FIG. 6, “cabbage” and “lettuce” are selected as product candidates as image recognition results of products without barcodes) After that, even if a predetermined time (for example, 5 seconds) determined in advance as the product selection waiting time elapses, if the product button is not pressed (touched) and the product is not selected, the stationary scanner As a product selection assistance screen, auxiliary information for assisting in determining each product from among the selected product candidates as shown in FIG. The screen is displayed on the LCD display 14. FIG. 8 is a screen diagram showing an example of a product selection auxiliary screen displayed on the LCD display 14 of the stationary scanner according to the present invention. FIG. 8 shows that a predetermined time as the product selection waiting time is set to 5 seconds.

  In the screen display example of FIG. 6, the store clerk is in a state where the difference between “cabbage” and “lettuce” displayed on the screen as product candidates is unknown, and the product to be settled cannot be selected. This is a case where the selection operation for pressing the product button related to the product to be settled is not performed even after a predetermined time has elapsed as the selection waiting time. Therefore, when a predetermined time as the product selection waiting time elapses, the product selection auxiliary screen as shown in FIG. 8 is displayed.

  In the display example of the product selection auxiliary screen in FIG. 8, information for distinguishing between “cabbage” and “lettuce” so that the store clerk understands the difference between “cabbage” and “lettuce” displayed on the screen. As a result, information such as the state of the leaves, the color of the leaves, and the tone color when hit is displayed on the LCD display 14. Therefore, for example, the store clerk hits a product to be settled, determines whether the product is “cabbage” or “lettuce” by the tone, and presses one of the product buttons. be able to.

(Application to self-POS terminal)
It is also possible to apply the mechanism of the stationary scanner according to the present invention to a self-POS terminal that allows the customer to settle the purchased product to save labor. FIG. 9 is a schematic diagram showing an example in which the mechanism of the present invention is applied to a self-POS terminal. FIG. 9A is a schematic view of the self-POS terminal, and FIG. 9B is a self-POS terminal. It is a front view of a terminal. As shown in FIG. 9, a camera 10a, which is a feature of the present invention, is arranged in the vicinity (horizontal) of the barcode scanner 13a, and performs a process for recognizing a product imaged by the camera 10a as shown in FIG. An image recognition processing unit is built-in.

  In the case of the self-POS terminal of FIG. 9, for a normal product with a barcode attached, the customer himself / herself passes the product to be settled to the barcode scanner 13a arranged on the front, thereby making a payment process. I do. On the other hand, even in the case of a product without a barcode such as cabbage, as in the case of a normal product with a barcode attached, by passing the front of the barcode scanner 13a, The image data of the product is acquired by the camera 10a attached to the side of the code scanner 13a and transmitted to the built-in image recognition processing unit.

  The image recognition processing unit displays the selected product on the LCD display 14c of the self-POS terminal as shown in the product selection screen in FIG. 6 by performing the image recognition process described with reference to FIG. If the customer does not press the product button even after a predetermined time (for example, 5 seconds) has passed as the selection waiting time, as shown in the product selection auxiliary screen of FIG. By displaying on the LCD display 14c of the self-POS terminal the information for distinguishing the product candidates selected by the image recognition processing, the customer is prompted to select the purchased product to be settled. it can. Therefore, even the self-POS terminal as shown in FIG. 9 can apply the same mechanism as that described above with reference to FIGS. 1 to 8, and even a customer who is unfamiliar with the operation of the self-POS terminal. The customer can perform an efficient settlement process.

(Explanation of effects according to the embodiment of the present invention)
As described in detail above, according to the embodiment of the present invention, the following effects can be obtained.

  First, even when a product for which a barcode is not attached to the product is settled, the product to be automatically settled by the camera 10 is automatically captured and image recognition of the product is performed. The product candidates selected based on the above are displayed on the LCD display 14 as a product selection screen composed of touch-type product buttons, thereby supporting the product selection operation of the store clerk. However, it is possible to determine the product to be settled and quickly press the product button to perform the settlement process.

  Secondly, by placing the camera 10 in the vicinity (side) of the barcode scanner 13, even when trying to settle a product with no barcode attached, such as vegetables and fish, Just as in the case of a product with a barcode attached, it is sufficient to move the product to be settled on the surface of the barcode scanner of the stationary scanner and move it to the settled basket, By making product handling operations uniform, faster settlement processing can be performed.

  Third, even when similar products such as “cabbage” and “lettuce” are displayed on the product selection screen as product candidates of the image recognition result, a predetermined time as a product selection waiting time is set. After the elapse, auxiliary information on how the clerk distinguishes each product is automatically displayed as a product selection auxiliary screen, so the clerk can correctly determine the product to be settled, and click the appropriate product button. The payment process can be performed by pressing the button correctly.

  Fourth, when the product to be settled can be specified by the image recognition process based on the image data captured by the camera 10, it is possible to automatically perform all the settlement processing for the product. The recognition rate in the current image recognition technology is not necessarily 100%. For this reason, as described in the embodiment of the present invention, the graphic data of each product is registered in advance as a reference graphic, and based on the comparison result between the image data captured by the camera 10 and each reference graphic, By extracting products that correspond to a reference figure whose correlation value is higher than a predetermined correlation threshold, a system that narrows product candidates related to the product to be settled is adopted, and the product to be settled is more reliably It is possible to identify.

  Fifth, when a plurality of products corresponding to a reference graphic higher than the correlation threshold are extracted, a plurality of product candidates obtained as a result of selection by image processing are displayed on the LCD display 14 as a product selection screen. Thus, finally, the store clerk can select the correct product from the product selection screen, and can definitely select the correct product.

The configuration of the preferred embodiment of the present invention has been described above. However, it should be noted that such examples are merely illustrative of the invention and do not limit the invention in any way. Those skilled in the art will readily understand that various modifications and changes can be made according to a specific application without departing from the gist of the present invention. For example, the embodiment of the present invention can be expressed as the following configuration in addition to the configuration (1) in the means for solving the problems.
(2) The camera is arranged in the vicinity of the barcode scanner, and an image of the product is picked up by the camera by passing the product to be settled over the barcode scanner. Stationary scanner.
(3) The image recognition processing means has previously registered a reference graphic as image data for specifying the shape of each product, and is acquired by the imaging means when recognizing the shape of the product to be settled. By comparing the image data related to the product with the basic graphic for each product registered in advance, a correlation value between the two is calculated, and if the calculated correlation value is equal to or greater than a predetermined correlation threshold, the correlation The stationary scanner according to (1) or (2), wherein the reference graphic product having a correlation value equal to or greater than a threshold value is selected as a product candidate to be settled.
(4) The display is a touch panel display, and the product selection screen displayed on the display is a screen in which products including names of each product and a photograph thereof are listed as touch-type product buttons. The stationary scanner according to any one of the above (1) to (3), which is displayed on a screen by changing a background color of a product button selected as a product candidate.
(5) When changing the background color of the product button selected as the product candidate, the screen display is changed to a predetermined background color according to the magnitude of the correlation value with the image data related to the product acquired by the imaging means Alternatively, the stationary scanner according to (4), wherein the background color is changed to a different color and displayed on the screen in descending order of the correlation value with the image data relating to the product acquired by the imaging means.
(6) The product selection screen includes a product group screen displaying a list of product group buttons indicating a product group to which each product belongs, and a main screen displaying a page displaying a list of product buttons for each product group. Thus, by pressing one of the product group buttons on the product group screen, the main screen is switched to a page displaying a list of product buttons belonging to the product group (4) or ( 5) Stationary scanner.
(7) When the main screen of the product selection screen displays a page displaying a list of product buttons of product groups different from the product group to which the product buttons selected as product candidates belong, the product group screen The stationary scanner according to (6), wherein the background color of the product group button indicating the product group to which the product button selected as the product candidate belongs is changed and displayed on the screen.
(8) After the product selection screen is displayed on the screen, each product selected as a product candidate when the user does not perform a product selection operation even after a predetermined time has elapsed as a product selection waiting time. The stationary scanner according to any one of (1) to (7), wherein the auxiliary information for performing the determination is displayed on a display as a product selection auxiliary screen.
(9) In a POS terminal that includes a barcode scanner that reads a barcode attached to a product and performs settlement of the product, the barcode scanner is connected to the stationary scanner according to any one of (1) to (8). Configured POS terminal.
(10) The POS terminal according to (9), wherein the POS terminal is a self-POS terminal that enables a customer to settle a purchased product.
(11) A settlement product selection method for selecting a product to be settled by reading a barcode attached to the product to be settled by a barcode scanner, and for settlement of a product without a barcode attached When the product to be settled, the shape of the product is recognized from the image data obtained by imaging the product to be settled by the imaging unit, and based on the recognized product shape, the candidate for the product to be settled is selected, A settlement product selection method that displays a screen as a product selection screen on the display.
(12) Image data obtained by imaging a product to be settled when a reference graphic is registered in advance as image data for specifying the shape of each product and the shape of the product to be settled is recognized. Is compared with the reference graphic for each product registered in advance, and the correlation value between the two is calculated. If the calculated correlation value is equal to or greater than a predetermined correlation threshold, the correlation value equal to or greater than the correlation threshold The payment product selection method according to (11), wherein the product of the reference figure that has become is selected as a product candidate to be settled.
(13) The display is a touch panel display, and the product selection screen displayed on the display is a screen on which products including names of products and their photos are listed as touch-type product buttons. The settlement product selection method according to (11) or (12) above, wherein the screen is displayed by changing the background color of the product button selected as a product candidate.
(14) When changing the background color of the product button selected as the product candidate, change the background color to a predetermined background color according to the magnitude of the correlation value with the image data obtained by imaging the product to be settled The payment product selection method according to (13), wherein the screen is displayed or the background color is changed to a different color in order of decreasing correlation value with the image data obtained by imaging the product to be settled.
(15) After the product selection screen is displayed on the screen, each product selected as a product candidate when the user does not perform a product selection operation even after a predetermined time has elapsed as a product selection waiting time. The settlement product selection method according to any one of the above (11) to (14), wherein the auxiliary information for determining is displayed on the display as a product selection auxiliary screen.
(16) A settlement product selection program in which the settlement product selection method according to any one of (11) to (15) is implemented as a program executable by a computer.
(17) A program recording medium in which the settlement product selection program of (16) is recorded on a computer-readable recording medium.

DESCRIPTION OF SYMBOLS 10 Camera 10a Camera 11 Table 12 Leg part 13 Barcode scanner 13a Barcode scanner 14 LCD display 14a Touch panel 14b Keyboard 14c LCD display 20 Image recognition processing part 21 Voice processing part 22 Speaker 23 Barcode scanner control part 24 LCD driver 24a Decoder 25 CPU
26 ROM
27 RAM
28 IF section

Claims (8)

A stationary scanner that reads a barcode attached to a product with a barcode scanner in order to settle the product, an imaging unit that images the product to be settled and acquires image data, and the imaging unit An image recognition processing unit that processes the acquired image data of the product and recognizes the shape of the product, and the product recognized by the image recognition processing unit when the product without a barcode is settled Based on the shape, the product candidates to be settled are selected and displayed on the display as a product selection screen.
The display is a touch panel display, and the product selection screen displayed on the display is a screen on which a list of touch-type product buttons is displayed, and a background color of product buttons selected as product candidates To display the screen,
When changing the background color of the product button selected as the product candidate, the screen is changed to a predetermined background color according to the size of the correlation value with the image data related to the product acquired by the imaging means, and is displayed on the screen. Alternatively, the stationary scanner is characterized in that the background color is changed to a different color and displayed on the screen in descending order of the correlation value with the image data relating to the product acquired by the imaging means. A stationary scanner that reads a barcode attached to a product with a barcode scanner in order to settle the product, an imaging unit that images the product to be settled and acquires image data, and the imaging unit An image recognition processing unit that processes the acquired image data of the product and recognizes the shape of the product, and the product recognized by the image recognition processing unit when the product without a barcode is settled Based on the shape, the product candidates to be settled are selected and displayed on the display as a product selection screen.
The display is a touch panel display, and the product selection screen displayed on the display is a screen on which a list of touch-type product buttons is displayed, and a background color of product buttons selected as product candidates To display the screen,
The product selection screen is composed of a product group screen displaying a list of product group buttons indicating a product group to which each product belongs, and a main screen displaying a page displaying a list of product buttons for each product group, By pressing one of the product group buttons on the product group screen, the main screen is configured to switch to a page displaying a list of product buttons belonging to the product group,
When the main screen of the product selection screen is a page displaying a list of product buttons of product groups different from the product group to which the product button selected as the product candidate belongs, each of the product group screens A stationary scanner, wherein a background color of a merchandise group button indicating a merchandise group to which a merchandise button selected as a merchandise candidate belongs is displayed on a screen.   2. A camera is disposed in the vicinity of the barcode scanner, and an image of the product is picked up by the camera by passing the product to be settled over the barcode scanner. Or the stationary scanner of 2.   The image recognition processing means registers a reference graphic in advance as image data for specifying the shape of each product, and relates to the product acquired by the imaging means when recognizing the shape of the product to be settled. By comparing the image data with the reference graphic for each product registered in advance, a correlation value between the two is calculated, and when the calculated correlation value is equal to or greater than a predetermined correlation threshold, The stationary scanner according to any one of claims 1 to 3, wherein the product of the reference graphic that has a correlation value is selected as a product candidate to be settled.   5. A POS terminal that includes a barcode scanner that reads a barcode attached to a product and performs settlement of the product, wherein the barcode scanner includes the stationary scanner according to any one of claims 1 to 4. POS terminal characterized by that.   6. The POS terminal according to claim 5, wherein the POS terminal is a self-POS terminal that allows a customer to settle a purchased product. A payment product selection method in which the barcode attached to the product to be settled is read by a barcode scanner to select the product to be settled, and the product to which the barcode is not attached is settled , Recognizing the shape of the product from the image data obtained by imaging the product to be settled by the imaging means, selecting candidates for the product to be settled based on the recognized product shape, and displaying the product on the display Display the screen as a selection screen,
The display is a touch panel display, and the product selection screen displayed on the display is a screen on which a list of touch-type product buttons is displayed, and a background color of product buttons selected as product candidates To display the screen,
When changing the background color of the product button selected as the product candidate, the screen display is changed to a predetermined background color according to the magnitude of the correlation value with the image data obtained by capturing the product to be settled Or a settlement product selection method, wherein the background color is changed to a different color and displayed on the screen in descending order of correlation value with the image data obtained by imaging the product to be settled.   Reference data is registered in advance as image data for specifying the shape of each product, and when recognizing the shape of the product to be settled, image data obtained by imaging the product to be settled is stored in advance. By comparing with the reference graphic for each registered product, the correlation value between them is calculated, and when the calculated correlation value is equal to or greater than a predetermined correlation threshold, the correlation value is equal to or greater than the correlation threshold. 8. The settlement product selection method according to claim 7, wherein the product of the reference graphic is selected as a product candidate to be settled.

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