JP2014232538A - Information processing apparatus and program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To improve article recognition rate.SOLUTION: An information processing apparatus comprises: capturing means capturing an image picked up by imaging means; similarity calculation means calculating a similarity indicating how much the image of an object picked up by the imaging means is similar to a reference image of each registered product registered together with a higher category showing information on each registered product registered in a dictionary; determination means comparing similarities to the reference image of the images captured by the capturing means, and determining whether a similarity of the higher category obtained by adding up the similarities of a plurality of product classes belonging to the same higher category satisfies a predetermined condition; and means for outputting information on products corresponding to the plurality of product classes satisfying the predetermined condition as candidates of the imaged product if the determination means determines that the similarity of the higher category satisfies the predetermined condition.

Description

  Embodiments described herein relate generally to an information processing apparatus, a store system, and a program.

  Conventionally, a feature amount of a target article is extracted from image data obtained by imaging an object (object) as a target using an image sensor device, and the degree of similarity is compared with comparison data (feature quantity) in a dictionary prepared in advance. There is a technology related to general object recognition that calculates and recognizes (detects) the type or the like of the article according to the calculated similarity. In addition, a store system has been proposed in which the technology related to general object recognition is used to identify products such as fruits and vegetables, and sales of the identified products are registered.

  By the way, in the technique related to the general object recognition described above, not only the category (product) of the article but also the product type is recognized (detected).

  However, when the similarity is calculated as a relative evaluation, if the types are recognized (detected), the more the types included in the category (product) of the article, the lower the degree of similarity of each type. There are cases where a plurality of varieties and other products are recognized as candidate products, and there is a possibility that the selection of the products may be hindered.

  The information processing apparatus according to the embodiment is registered together with a capturing unit that captures an image captured by the image capturing unit, an image of an object captured by the image capturing unit, and a higher level classification that indicates information about each registered product registered in the dictionary. The similarity calculation means for calculating the degree of similarity indicating how similar the reference image of each registered product is compared with the reference image for each image captured by the capture means. A determination means for determining whether the similarity of the higher classification satisfying a predetermined condition by adding up the similarities of a plurality of varieties belonging to the same higher classification, and the determination means satisfying the predetermined condition Comprises means for outputting information relating to the products corresponding to the plurality of varieties satisfying the predetermined condition as the imaged product candidates.

  The store system according to the embodiment is registered together with a capturing unit that captures an image captured by the image capturing unit, an image of the object captured by the image capturing unit, and a high-level classification that indicates information about each registered product registered in the dictionary. The similarity calculation means for calculating the degree of similarity indicating how similar the reference image of each registered product is compared with the reference image for each image captured by the capture means, A determination means for determining whether the similarity of the higher classification satisfying a predetermined condition by adding up the similarities of a plurality of varieties belonging to the same higher classification, and when the predetermined condition is satisfied by the determination means Means for outputting information on products corresponding to the plurality of varieties satisfying the predetermined condition as imaged product candidates, and at least one of the product candidates is selected and operated In this case, a sales registration process is performed on a receiving unit that accepts an operation for determining a candidate for the product as a product imaged by the imaging unit, and a product imaged by the imaging unit determined by the determination unit or the receiving unit. Sales registration processing means.

  The program according to the embodiment registers a computer together with a capturing unit that captures an image captured by the image capturing unit, an image of an object captured by the image capturing unit, and a higher level classification that indicates information about each registered product registered in the dictionary. The similarity calculation means for calculating the similarity indicating how similar each of the registered product reference images is compared with the reference image for each image captured by the capture means And determining means for determining whether the similarity of the higher classification satisfying a predetermined condition is a sum of the similarities of a plurality of varieties belonging to the same higher classification, and the predetermined condition is satisfied by the determination means In such a case, the image pickup device functions as a means for outputting information on products corresponding to the plurality of products satisfying the predetermined condition as the imaged product candidates.

FIG. 1 is a perspective view illustrating an example of a checkout system according to an embodiment. FIG. 2 is a block diagram illustrating a hardware configuration of the POS terminal and the commodity reading apparatus. FIG. 3 is a conceptual diagram illustrating the data structure of a PLU file. FIG. 4 is a block diagram illustrating functional configurations of the POS terminal and the commodity reading apparatus. FIG. 5 is a diagram illustrating an example of a frame image. FIG. 6 is a diagram illustrating an example of the confirmation screen. FIG. 7 is a diagram illustrating an example of a confirmation screen. FIG. 8 is a diagram illustrating an example of a screen on which illustration images of product candidates are displayed. FIG. 9 is a diagram illustrating an example of a product candidate type selection screen. FIG. 10 is a flowchart showing the procedure of the product identification process. FIG. 11 is a flowchart showing the procedure of the sales registration process. FIG. 12 is an external perspective view showing the configuration of the self-POS. FIG. 13 is a block diagram illustrating a hardware configuration of the self-POS.

  Hereinafter, an information processing apparatus, a store system, and a program according to the present embodiment will be described with reference to the drawings, taking a checkout system as an example. The store system is a checkout system (POS system) provided with a POS terminal that performs registration and settlement of commodities related to one transaction. This embodiment is an application example to a checkout system introduced in a store such as a supermarket.

  FIG. 1 is a perspective view showing an example of a checkout system 1. As shown in FIG. 1, the checkout system 1 includes a product reading device 101 that reads information about a product, and a POS terminal 11 that performs registration and settlement of the product related to one transaction. Below, the example which applies the goods reading apparatus 101 as an information processing apparatus concerning this embodiment is demonstrated.

  The POS terminal 11 is placed on the upper surface of the drawer 21 on the checkout table 41. The drawer 21 is controlled by the POS terminal 11 for the opening operation. On the upper surface of the POS terminal 11, a keyboard 22 that is pressed down by an operator (a store clerk) is arranged. A display device 23 that displays information toward the operator is provided behind the keyboard 22 when viewed from the operator who operates the keyboard 22. The display device 23 displays information on the display surface 23a. A touch panel 26 is laminated on the display surface 23a. A customer display device 24 is erected so as to be rotatable further back than the display device 23. The customer display device 24 displays information on the display surface 24a. The customer display device 24 shown in FIG. 1 has the display surface 24a facing the front side in FIG. 1, but the customer display device 24 is rotated so that the display surface 24a faces the back side in FIG. Thus, the customer display device 24 displays information to the customer.

  A horizontally long table-shaped counter table 151 is arranged so as to form an L shape with the checkout table 41 on which the POS terminal 11 is placed. A load receiving surface 152 is formed on the upper surface of the counter table 151. A shopping basket 153 for storing the product G is placed on the cargo receiving surface 152. The shopping basket 153 may be divided into a first shopping basket 153a brought in by a customer and a second shopping basket 153b placed at a position sandwiching the commodity reading device 101 from the first shopping basket 153a. it can. The shopping basket 153 is not limited to a so-called basket shape, and may be a tray or the like. The shopping basket 153 (second shopping basket 153b) is not limited to a so-called basket shape, and may be a box shape, a bag shape, or the like.

  On the receiving surface 152 of the counter stand 151, the commodity reading apparatus 101 connected to the POS terminal 11 so as to be able to transmit and receive data is installed. The commodity reading apparatus 101 includes a thin rectangular housing 102. A reading window 103 is disposed in front of the housing 102. A display / operation unit 104 is attached to the upper portion of the housing 102. The display / operation unit 104 is provided with a display device 106 which is a display unit on which a touch panel 105 is stacked. A keyboard 107 is disposed on the right side of the display device 106. A card reading groove 108 of a card reader (not shown) is provided on the right side of the keyboard 107. A customer display device 109 for providing information to the customer is installed on the back left side of the display / operation unit 104 as viewed from the operator.

  Such a product reading apparatus 101 includes a product reading unit 110 (see FIG. 2). The merchandise reading unit 110 has an imaging unit 164 (see FIG. 2) disposed behind the reading window 103.

  In the first shopping basket 153a brought in by the customer, a product G related to one transaction is stored. The commodity G in the first shopping basket 153a is moved to the second shopping basket 153b by an operator who operates the commodity reading apparatus 101. In this movement process, the product G is directed to the reading window 103 of the product reading apparatus 101. At this time, the imaging unit 164 (see FIG. 2) arranged in the reading window 103 images the product G.

  The merchandise reading apparatus 101 displays a screen for designating which merchandise G included in the image captured by the imaging unit 164 corresponds to which merchandise registered in a PLU file F1 (see FIG. 3) described later. Displayed on the operation unit 104 and notifies the POS terminal 11 of the product ID of the specified product. In the POS terminal 11, based on the product ID notified from the product reading device 101, information related to sales registration such as the product classification, product name, and unit price of the product corresponding to the product ID is stored in a sales master file (not shown) or the like. And record sales.

  FIG. 2 is a block diagram illustrating a hardware configuration of the POS terminal 11 and the commodity reading apparatus 101. The POS terminal 11 includes a microcomputer 60 as an information processing unit that executes information processing. The microcomputer 60 is configured by connecting a ROM (Read Only Memory) 62 and a RAM (Random Access Memory) 63 to a CPU (Central Processing Unit) 61 that executes various arithmetic processes and controls each unit.

  The drawer 61, the keyboard 22, the display device 23, the touch panel 26, and the customer display device 24 are all connected to the CPU 61 of the POS terminal 11 through various input / output circuits (all not shown). . These are controlled by the CPU 61.

  The keyboard 22 includes a numeric key 22d, a temporary fastening key 22e, and a fastening key 22f on which numbers such as “1”, “2”, “3”... Including.

  An HDD 64 (Hard Disk Drive) is connected to the CPU 61 of the POS terminal 11. The HDD 64 stores programs and various files. All or a part of the programs and various files stored in the HDD 64 are copied to the RAM 63 and executed by the CPU 61 when the POS terminal 11 is activated. An example of a program stored in the HDD 64 is a product sales data processing program PR. An example of a file stored in the HDD 64 is a PLU file F1 distributed and stored from the store computer SC.

  The PLU file F1 is used as a dictionary, and for each of the products G to be displayed and sold in the store, a product in which an association between information related to sales registration of the product G and an image of the product G is set It is a file.

  FIG. 3 is a conceptual diagram illustrating the data configuration of the PLU file F1. As shown in FIG. 3, the PLU file F1 includes, for each product G, a product ID uniquely assigned to the product, information on the product such as a product classification to which the product G belongs, a product name, a unit price, and a product image obtained by capturing the product. This is a file that stores (reference image), an illustration image showing the product, and feature values such as hues and surface irregularities read from the captured product image and the reference image, as product information of the product G. Note that the feature amount is used for determination of similarity, which will be described later. The PLU file F1 is configured to be readable by the commodity reading apparatus 101 via a connection interface 65 described later.

  When it is necessary to recognize (detect) not only the category (product) of an article but also the product type, the PLU file F1 includes information on the product such as product name and unit price for each product type as shown in FIG. The product image (reference image) obtained by imaging the product, the illustration image indicating the product, and the feature amount are managed. For example, when the category (product) of an item is “apple”, information on the item such as “Fuji”, “Jonagold”, “Tsugaru”, and “Kodama” about the item such as the item name and unit price, and the image of the item The product image (reference image), the illustration image indicating the product, and the feature amount are managed.

  Returning to FIG. 2, a communication interface 25 for executing data communication with the store computer SC is connected to the CPU 61 of the POS terminal 11 via an input / output circuit (not shown). The store computer SC is installed in a store backyard or the like. A PLU file F1 distributed to the POS terminal 11 is stored in the HDD (not shown) of the store computer SC.

  Further, the CPU 61 of the POS terminal 11 is connected to a connection interface 65 that enables data transmission / reception with the commodity reading apparatus 101. The product reading apparatus 101 is connected to the connection interface 65. The CPU 61 of the POS terminal 11 is connected to a printer 66 that prints on receipts. The POS terminal 11 prints the transaction content of one transaction on the receipt under the control of the CPU 61.

  The commodity reading apparatus 101 also includes a microcomputer 160. The microcomputer 160 is configured by connecting a ROM 162 and a RAM 163 to a CPU 161 via a bus. The ROM 162 stores a program executed by the CPU 161. The CPU 161 is connected to an imaging unit 164 and an audio output unit 165 via various input / output circuits (none of which are shown). The operations of the imaging unit 164 and the audio output unit 165 are controlled by the CPU 161. The display / operation unit 104 is connected to the product reading unit 110 and the POS terminal 11 via the connection interface 176. The operation of the display / operation unit 104 is controlled by the CPU 161 of the product reading unit 110 and the CPU 61 of the POS terminal 11.

  The imaging unit 164 is a color CCD image sensor, a color CMOS image sensor, or the like, and is an imaging unit that performs imaging from the reading window 103 under the control of the CPU 161. For example, the imaging unit 164 captures a 30 fps moving image. Frame images (captured images) sequentially captured at a predetermined frame rate by the imaging unit 164 are stored in the RAM 163.

  The audio output unit 165 is an audio circuit and a speaker for generating a preset warning sound or the like. The audio output unit 165 performs warning sound or audio notification under the control of the CPU 161.

  Furthermore, a connection interface 175 that connects to the connection interface 65 of the POS terminal 11 and enables data transmission / reception with the POS terminal 11 is connected to the CPU 161. In addition, the CPU 161 transmits and receives data to and from the display / operation unit 104 via the connection interface 175.

  Next, functional configurations of the CPU 161 and the CPU 61 that are realized by the CPU 161 and the CPU 61 executing programs will be described with reference to FIG.

  FIG. 4 is a block diagram illustrating functional configurations of the POS terminal 11 and the commodity reading apparatus 101. As illustrated in FIG. 4, the CPU 161 of the commodity reading apparatus 101 executes a program stored in the ROM 162, thereby executing an image capturing unit 51, a commodity detecting unit 52, a similarity calculating unit 53, a similarity determining unit 54, and a confirmation. The function as the alerting | reporting part 55, the goods candidate presentation part 56, the input reception part 57, and the information output part 58 is provided. Similarly, the CPU 61 of the POS terminal 11 has a function as a sales registration unit 611 that is a sales registration processing unit by executing the program PR.

  The image capturing unit 51 functions as a capturing unit, and outputs an imaging on signal to the imaging unit 164 to cause the imaging unit 164 to start an imaging operation. The image capturing unit 51 sequentially captures frame images captured by the image capturing unit 164 and stored in the RAM 163 after the start of the image capturing operation. The capturing of the frame image by the image capturing unit 51 is performed in the order stored in the RAM 163.

  FIG. 5 is a diagram illustrating an example of a frame image captured by the image capturing unit 51. As shown in FIG. 5, when the operator holds the product G over the reading window 103, all or part of the product G is photographed and displayed on the display device 106 of the product reading apparatus 101 in the reading area R of the imaging unit 164. The

  The product detection unit 52 detects all or part of the product G included in the frame image captured by the image capture unit 51 using a pattern matching technique or the like. Specifically, a contour line or the like is extracted from an image obtained by binarizing the captured frame image. Next, the contour line extracted from the previous frame image is compared with the contour line extracted from the current frame image to detect a product directed to the reading window 103 for sales registration.

  As another method for detecting a product, the presence or absence of a skin color region is detected from a captured frame image. Next, when a skin color area is detected, that is, when a clerk's hand is detected, it is assumed that the clerk's hand is grasped by detecting the above-described contour line in the vicinity of the skin color area. Try to extract the outline of the product. At this time, when the contour indicating the shape of the hand and the contour of the other object are detected in the vicinity of the contour of the hand, the product is detected from the contour of the object.

  The similarity calculation unit 53 functions as a similarity calculation unit, and from the whole or a part of the image of the product G imaged by the imaging unit 164, the surface quality such as the hue of the product G and the surface unevenness state. The state is read as a feature value. The similarity calculation unit 53 does not consider the outline or size of the product G in order to shorten the processing time.

  In addition, the similarity calculation unit 53 includes a feature amount that is a surface state such as a color of a product image of each product (hereinafter referred to as a registered product) registered in the PLU file F1 and a surface unevenness state, and the product G. The similarity between the product G and the registered product registered in the PLU file F1 is calculated by comparing the feature amounts. Here, when the product image at the time of product registration of each product stored in the PLU file F1 is 100% = “similarity: 1.0”, the similarity is the entire or a part of the product G. It shows how much is similar. Note that, for example, the similarity may be calculated by changing the weight between the color tone and the surface roughness.

Recognizing an object contained in an image in this way is called generic object recognition. Regarding such general object recognition, various recognition techniques are described in the following documents.
Keiji Yanai, “Current Status and Future of General Object Recognition”, IPSJ Journal, Vol. 48, no. SIG16 [Search August 10, 2010], Internet <URL: http://mm.cs.uec.ac.jp/IPSJ-TCVIM-Yanai.pdf>

Further, techniques for performing general object recognition by dividing an image into regions for each object are described in the following documents.
Jamie Shotton et al., “Semantic Texton Forests for Image Categorization and Segmentation”, [searched August 10, 2010], Internet <URL: http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1. 1.145.3036 & rep = rep1 & type = pdf>

  It should be noted that the method for calculating the degree of similarity between the captured image of the product G and the registered product registered in the PLU file F1 is not particularly limited. For example, the similarity between the captured image of the product G and each registered product registered in the PLU file F1 may be calculated as an absolute evaluation or may be calculated as a relative evaluation.

  When calculating the similarity as an absolute evaluation, the captured image of the product G and each registered product registered in the PLU file F1 are compared on a one-to-one basis, and the similarity derived as a result of this comparison is used as it is. do it. Further, when calculating the similarity as a relative evaluation, if five registered products (products GA, GB, GC, GD, GE) are registered in the PLU file F1, the captured product G is The similarity is 0.6, the similarity is 0.1 for the product GB, the similarity is 0.1 for the product GC, the similarity is 0.1 for the product GD, and the product GE On the other hand, the similarity may be calculated such that the similarity is 0.1, and the total similarity with each registered product is 1.0 (100%).

  The similarity determination unit 54 functions as a determination unit, and for each frame image captured by the image capture unit 51, the similarity between the image of the product G and the registered product registered in the PLU file F1. Compare In the present embodiment, a plurality of conditions for the similarity between the product image of the registered product and the image of the product G are provided in stages, and the similarity determination unit 54 determines the registered product according to the satisfied condition or Select product candidates. Although the conditions regarding the degree of similarity are not particularly limited, the case where conditions a to d are used will be described below.

  Here, the condition a and the condition b are the first conditions according to the present embodiment, and the product G captured by the imaging unit 164 is determined as one product among the registered products registered in the PLU file F1. It is a condition. The condition c is a second condition according to the present embodiment. When the registered products registered in the PLU file F1 do not include a plurality of articles of different varieties belonging to the same category (product), This is a condition for extracting the candidate for the product G imaged by the imaging unit 164. Furthermore, the condition d is a third condition according to the present embodiment, and imaging is performed when a plurality of products of different varieties belonging to the same category (product) are included in the product candidates that satisfy the condition c. This is a condition for extracting candidates for the product G imaged by the unit 164.

  The similarity determination unit 54 determines (determines) a registered product that satisfies the condition a or the condition b as a product that corresponds to the product G captured by the imaging unit 164 on a one-to-one basis (hereinafter referred to as a confirmed product). Further, the similarity determination unit 54 determines that the registered product satisfying the condition c is not a confirmed product but a candidate for the product G imaged by the imaging unit 164 (hereinafter referred to as a product candidate). Then, product candidates for the product G are extracted by extracting registered products satisfying the condition c from the plurality of registered products registered in the PLU file F1.

  Further, the similarity determination unit 54 also considers that the registered product satisfying the condition d (articles of different varieties belonging to the same category (product)) is not a confirmed product but a candidate for the product G imaged by the imaging unit 164. judge. Then, product candidates for the product G are extracted by extracting registered products satisfying the condition d from a plurality of registered products registered in the PLU file F1.

  The details of the conditions a to c are not particularly limited as long as the conditions a to c are set stepwise according to the degree of similarity, but as an example, the conditions a to c can be provided by a plurality of preset threshold values. Here, the case where the conditions a to c are set by the first threshold value to the third threshold value will be described. Note that the magnitude relationship between the first to third thresholds is first threshold> second threshold> third threshold.

  The similarity determination unit 54 counts the number of times that the degree of similarity with the registered product is equal to or higher than a predetermined first threshold (for example, 90%), and the condition a is satisfied when the number of times exceeds a predetermined number. It is determined that When the first threshold is set sufficiently high so that no erroneous determination is made, the condition a may be determined by setting the predetermined number of times as one.

  The similarity determination unit 54 determines that the condition b is satisfied when the similarity with the registered product is less than the first threshold (for example, 90%) and equal to or greater than the second threshold (for example, 75%) smaller than the first threshold. Determined to be satisfied. Then, it is determined that the registered product that satisfies the condition b is a confirmed product, but requires a confirmation operation by the operator. Note that the number of times the similarity with the registered product is less than the first threshold (for example, 90%) and the second threshold value (for example, 75%) is less than the first threshold is counted, and the number of times is equal to or greater than the predetermined number. It may be determined that the condition b is satisfied.

  Furthermore, when the similarity with the registered product is less than the second threshold (for example, 75%) and greater than or equal to the third threshold (for example, 10%) smaller than the second threshold, the similarity determination unit 54 determines that the condition c is Determined to be satisfied. Furthermore, the number of times that the degree of similarity with the registered product is less than the second threshold value (for example, 75%) and the third threshold value (for example, 10%) that is less than the second threshold value is counted. You may determine with the condition c being satisfied when it becomes above.

  Each condition a to c can be appropriately set according to the degree of similarity, the number of determinations, and the like, and is not limited to the above-described example. Moreover, the predetermined number of times used for the determination of the conditions a to c may be different for each condition.

  In addition, when the registered product satisfying the condition c includes a plurality of articles of different varieties belonging to the same category (product), the similarity determination unit 54 adds the similarities of the plurality of varieties. When the similarity of the category (product) obtained by adding up the similarities of a plurality of varieties is equal to or higher than a predetermined second threshold (for example, 75%), it is determined that the condition d is satisfied.

  The confirmation notification unit 55 functions as a notification unit, and the image output that the product captured by the imaging unit 164 is uniquely determined as a registered product that satisfies the condition a or the condition b is output. To the operator and the customer by voice output or the like.

  More specifically, the confirmation notification unit 55 confirms that the registered product satisfying the condition a is uniquely confirmed as the product (confirmed product) captured by the imaging unit 164 (see FIG. 6). Is displayed on the display device 106.

  FIG. 6 is a diagram illustrating an example of the confirmation screen 71. When there is a registered product that satisfies the condition a, the confirmation notification unit 55 stops displaying the captured image in the reading region R (see FIG. 5), and displays the illustration image G1 corresponding to the confirmed product and the product name “carrot” in the PLU. The data is read from the file F1 and displayed on the confirmation screen 71. Further, the confirmation notification unit 55 displays the product name and product price (unit price) of the confirmed product read from the PLU file F1 in the product name display area 81 and the price display area 82, respectively. The confirmation notification unit 55 may display a product image (photo) read from the PLU file F1 instead of the illustration image G1.

  Further, the confirmation notification unit 55 outputs information related to the confirmed product such as the product name read from the PLU file F1 to the audio output unit 165 in accordance with the display timing of the confirmation screen 71. The voice output unit 165 notifies the operator or customer of information indicating the confirmed product by outputting the input information.

  Further, the confirmation notification unit 55 displays a confirmation screen 72 (see FIG. 7) for receiving a final confirmation operation as to whether or not the registered product (confirmed product) satisfying the condition b is the product G imaged by the imaging unit 164. It is displayed on the display device 106.

  FIG. 7 is a diagram illustrating an example of the confirmation screen 72. When there is a registered product satisfying the condition b, the confirmation notification unit 55 reads the illustration image G1 corresponding to the confirmed product from the PLU file F1 and displays it on the confirmation screen 72. Further, the confirmation notification unit 55 uses a product name of the confirmed product read from the PLU file F1, and a message asking whether or not the read product G is a product of the illustration image G1 is “carrot?” Or the like. Is displayed. Further, the confirmation screen 72 is provided with buttons such as “Yes / No” so as to be selectable by a touch operation on the touch panel 105.

  As described above, on the confirmation screen 72, as a result of the similarity determination, the product name and product image of the registered product (confirmed product) that is uniquely selected for one product G are shown. Are displayed in a one-to-one relationship. Therefore, the confirmation screen 72 is a screen for notifying that the registered product satisfying the condition b is uniquely determined as the product G imaged by the imaging unit 164.

  In this embodiment, when the product imaged in this way is uniquely determined, an illustration image of the confirmed product is displayed instead of the captured image. Accordingly, the operator can intuitively recognize that the identification of the product has been confirmed, and can recognize at a glance which product the identified product is.

  Note that the confirmation notification unit 55 may cause the audio output unit 165 to output the information related to the confirmed product by voice in synchronization with the timing at which the confirmation screen 72 is displayed, or the confirmation screen 72 may not perform voice output. . The presence or absence of audio output on the confirmation screen 71 and the confirmation screen 72 can be set as appropriate.

  The product candidate presentation unit 56 causes the display device 106 to display information on the registered product that satisfies the condition c as a product candidate. More specifically, the product candidate presentation unit 56 reads the illustration image and product name of the registered product satisfying the condition c from the PLU file F1, and uses the display device 106 from the one with the high similarity calculated by the similarity calculation unit 53. Are output sequentially. The display device 106 displays the product candidate illustration images and product names in descending order of similarity in the product candidate presentation area 83 (see FIG. 8).

  FIG. 8 is a diagram illustrating an example of a screen on which illustration images G1, G2, and G3 of product candidates are displayed. As illustrated in FIG. 8, product candidate illustration images G1, G2, and G3 and product names are displayed in the product candidate presentation area 83 in order from registered products with a high degree of similarity. These illustration images G1, G2, and G3 are configured to be selectable in accordance with a selection operation on the touch panel 105. A selection button 84 for selecting a product from the product list is provided below the product candidate presentation area 83, and the product selected from the product list is processed as the above-described confirmed product. Although FIG. 8 shows an example in which three product candidates corresponding to the illustration images G1 to G3 are displayed, the number of product candidates and the display method are not particularly limited. In addition, a product image (photo) may be displayed instead of the illustration image.

  Even if the product candidate illustration images G <b> 1 to G <b> 3 are displayed on the display device 106, when the selection operation for these product candidates is not accepted, the image capturing process by the image capturing unit 51, the product detecting unit 52 The detection process and the similarity calculation process by the similarity calculation unit 53 are continued. Therefore, while the product candidate is not selected, the captured image of the reading region R is displayed on the screen of the display device 106.

  In addition, the product candidate presentation unit 56 causes the display device 106 to display information on registered products that are products of different varieties belonging to the same category (product) that satisfies the condition d as product candidates. More specifically, the product candidate presenting unit 56 reads the illustration image and product name of the registered product (articles of different varieties belonging to the same category (product)) satisfying the condition d from the PLU file F1, and calculates the similarity calculation unit. The ones with the high degree of similarity calculated by 53 are sequentially output to the display device 106. The display device 106 displays the product candidate illustration images and product names in descending order of similarity on the product type selection screen 85 (see FIG. 9).

  The product candidate presentation unit 56 reads the illustration image and product name of the registered product (articles of different types belonging to the same category (product)) satisfying the condition d from the PLU file F1, and selects the type of the display device 106 in advance. On the condition that the number of product selections on the screen 85 is counted, the items that have been selected more frequently may be sequentially output to the display device 106.

  FIG. 9 is a diagram illustrating an example of a product candidate type selection screen. As shown in FIG. 9, on the product type selection screen 85 displayed superimposed on a frame image that is an actually recognized image, registered products (articles of different types belonging to the same category (product)) having a high degree of similarity are displayed. The product candidate illustration images G4, G5, G6 and the names of the respective products are displayed in order. The similarity may also be displayed on the product candidate illustration images G4, G5, and G6. These illustration images G4, G5, and G6 are configured to be selectable in accordance with a selection operation on the touch panel 105. FIG. 9 shows an example in which three product candidates, which are product candidate illustration images G4, G5, and G6, which are articles of different varieties belonging to the category (product) of the illustration image G1, are displayed. The number and display method are not particularly limited. When the number of product candidates is large, an “Select Other Product” button or a scroll button may be provided to sequentially display product candidate illustration images by button operation. In addition, a product image (photo) may be displayed instead of the illustration image.

  The input receiving unit 57 functions as a receiving unit, and receives various input operations corresponding to display on the display device 106 via the touch panel 105 or the keyboard 107. For example, the input receiving unit 57 receives an input operation (confirmation operation) indicating that the product of the displayed illustration image G1 is finally confirmed based on a selection operation on the confirmation screen 72 (see FIG. 7). . Note that the confirmation notification unit 55 displays the above-described confirmation screen 71 on the display device 106 when the input reception unit 57 receives the confirmation operation.

  The input receiving unit 57 receives a selection operation for any one of the illustration images G1 to G3 (see FIG. 8) of the product candidates displayed on the display device 106. The input receiving unit 57 receives the registered product of the selected illustration image as a confirmed product for the product G. When the product detection unit 52 can detect a plurality of products G, the input receiving unit 57 may receive a selection operation of a plurality of product candidates from the product candidates. When the input receiving unit 57 accepts the selection operation, the confirmation notifying unit 55 causes the display device 106 to display a confirmation screen 71 that displays the accepted product candidate as a confirmed product.

  The input receiving unit 57 receives a selection operation for any one of the illustration images G4 to G6 (see FIG. 9) on the product type selection screen 85 displayed on the display device 106. When the input receiving unit 57 accepts the selection operation, the confirmation notifying unit 55 causes the display device 106 to display a confirmation screen 71 that displays the accepted product candidate as a confirmed product.

  The information output unit 58 outputs information indicating the product (for example, product ID, product name, etc.) to the POS terminal 11 via the connection interface 175 for the confirmed product confirmed as described above.

  Note that the information output unit 58 may output the sales quantity separately input via the touch panel 105 or the keyboard 107 to the POS terminal 11 together with the product ID and the like. Further, as information output from the information output unit 58 to the POS terminal 11, the product ID read by the information output unit 58 from the PLU file F1 may be directly notified, or a product name that can specify the product ID. Alternatively, the file names of product images and illustration images may be notified, and the storage location of the product ID (storage address in the PLU file F1) may be notified to the POS terminal 11.

  The sales registration unit 611 of the POS terminal 11 performs sales registration of the corresponding product based on the product ID and the sales quantity output from the information output unit 58. Specifically, the sales registration unit 611 refers to the PLU file F1, and records the notified product ID and the product classification, product name, unit price, etc. corresponding to the product ID together with the number of sales in a sales master file or the like. To register sales.

  Next, the operation of the checkout system 1 will be described in detail. First, the operation of the commodity reading apparatus 101 will be described. FIG. 10 is a flowchart illustrating a procedure of product identification processing executed by the product reading apparatus 101. In FIG. 10, the first threshold is set to 90% (0.90) similarity, the second threshold is set to 75% (0.75), and the third threshold is set to 10% (0.10) similarity. Although described, each threshold value is not limited to these.

  When processing is started in response to the start of product registration by the POS terminal 11, the image capturing unit 51 outputs an imaging on signal to the imaging unit 164 and starts imaging by the imaging unit 164 (step S11).

  The image capturing unit 51 captures a frame image (captured image) captured by the image capturing unit 164 and stored in the RAM 163 (step S12). Next, the product detection unit 52 detects all or part of the product G from the frame image captured by the image capture unit 51 (step S13). Subsequently, the similarity calculation unit 53 reads the feature amount of the product G from all or part of the image of the product G, and compares it with the feature amount of each product image registered in the PLU file F1 to determine whether the product is registered. The similarity is calculated (step S14).

  The similarity determination unit 54 determines whether there is a registered product with a similarity of 90% or more (step S15). If there is no registered product that is 90% or more (step S15: No), the process proceeds to step S17. When there is a registered product that is 90% or more (step S15: Yes), it is determined whether or not the number of times the similarity to the same registered product is 90% or more has reached a predetermined number (for example, 3 times). (Step S16). When the predetermined number of times is not reached (step S16: No), the process returns to step S12, and the image capturing unit 51 captures a new frame image captured by the image capturing unit 164.

  When the predetermined number of times has been reached (step S16: Yes), the confirmation notification unit 55 displays a confirmation screen 71 (see FIG. 6) including an illustration image of the confirmed product, and notifies the product name of the confirmed product by voice. Thus, the confirmed product is notified (step S23). Further, the information output unit 58 outputs the product ID and the like of the registered product determined as the confirmed product to the POS terminal 11 together with the number of sales separately input via the keyboard 107 (step S24), and thereafter the process of step S25. Migrate to

  Step S15: In the case of No, the similarity determination unit 54 determines whether there is a registered product with a similarity of 75% or more and less than 90% (Step S17). If there is a registered product whose similarity is within this range (step S17: Yes), it is determined that the registered product is a confirmed product that requires operator confirmation, and a confirmation screen 72 is displayed on the display device 106 ( Step S18). The input receiving unit 57 determines whether or not “Yes” is selected on the confirmation screen 72 (see FIG. 7) (step S19). When “Yes” is selected (step S19: Yes), the process proceeds to step S23, and the confirmation notification unit 55 displays the confirmation screen 71. On the other hand, if “No” is selected (step S19: No), the process returns to step S12.

  On the other hand, when there is no registered product with a similarity of 75% or more and less than 90% (step S17: No), the similarity determination unit 54 determines whether there is a registered product with a similarity of 10% or more and less than 75%. And the registered products whose similarity is within this range are extracted as product candidates for the product G (step S20). If there is no registered product within this range (step S20: No), the process returns to step S12.

  When there is a registered product with a similarity of 10% or more and less than 75% (step S20: Yes), the similarity determination unit 54 determines whether or not there are a plurality of articles of different varieties belonging to the same category ( Step S27). When there are not a plurality of articles of different varieties belonging to the same category (step S27: No), the similarity determination unit 54 determines that the corresponding registered product is a product candidate for the product G. Then, the product candidate presentation unit 56 sorts the illustration images and product names of registered products determined as product candidates in descending order of similarity and displays them in the product candidate presentation area 83 (step S21).

  The input receiving unit 57 determines whether or not a selection operation for the product image of the registered product has been received (step S22). When the selection is accepted (step S22: Yes), the process proceeds to step S23, and the confirmation notification unit 55 displays the confirmation screen 71. On the other hand, when selection is not accepted (step S22: No), it transfers to step S12.

  On the other hand, when there are a plurality of articles of different varieties belonging to the same category (step S27: Yes), the similarities of the plurality of varieties are summed (step S28), and the summed similarity is determined in advance by a predetermined second. When the threshold value (for example, 75%) is reached (step S29: Yes), the similarity determination unit 54 determines that a plurality of articles of different varieties belonging to the same category are commodity candidates for the commodity G. Then, the product candidate presentation unit 56 sorts the illustration images and product names of registered products (articles of different varieties belonging to the same category (product)) determined as product candidates, and presents the product candidates. The product type selection screen 85 is displayed in the area 83 (step S30).

  The input receiving unit 57 determines whether or not a selection operation for a product image of a registered product (articles of different varieties belonging to the same category (product)) has been received (step S31). When the selection is accepted (step S31: Yes), the process proceeds to step S23, and the confirmation notification unit 55 displays the confirmation screen 71. On the other hand, when the selection is not accepted (step S31: No), the process proceeds to step S12.

  In step S <b> 25, the CPU 161 determines the presence / absence of business end from the POS terminal 11 by a product registration end notification or the like. When the business is continued (step S25: No), the CPU 161 returns the process to step S12 to continue the process. When the work is to be ended (step S25: Yes), the image capturing unit 51 outputs an image pickup off signal to the image pickup unit 164, ends the image pickup by the image pickup unit 164 (step S26), and ends the process.

  Next, the operation of the POS terminal 11 will be described. FIG. 11 is a flowchart showing a procedure of sales registration processing executed by the POS terminal 11.

  First, when processing is started in response to the start of product registration in response to an operation instruction on the keyboard 22, the CPU 61 outputs the product ID of the confirmed product and the number of sold items output by the product reading device 101 in step S24 of FIG. Is received (step S41). Next, the CPU 61 (sales registration unit 611) reads the product type, the unit price, and the like from the PLU file F1 based on the product ID and the sales quantity received in step S41, and displays the sales of the product G read by the product reading device 101. Registration in the sales master file (step S42). Subsequently, the CPU 61 determines whether or not there is an end of business due to the end of sales registration or the like by an operation instruction of the keyboard 22 (step S43). When the business is continued (step S43: No), the CPU 61 returns to step S41 again and continues the process. When the business is to be ended (step S43: Yes), the CPU 61 ends the process.

  As described above, according to the present embodiment, when a plurality of products of different varieties belonging to the same upper classification are included in the product candidates that satisfy the second condition for extracting the captured product candidates. In addition, it is determined whether the similarity of the upper classification obtained by adding up the similarities of the plurality of varieties satisfies a third condition for extracting product candidates imaged from the plurality of varieties, and the third condition Is satisfied, information about the product corresponding to the reference image that satisfies the third condition is notified as a candidate for the imaged product. Therefore, when the third condition is satisfied, articles of different varieties belonging to the same superior classification can be regarded as one article, and the superior classification can be recognized when any kind is recognized. The recognition rate of the article can be improved.

  As mentioned above, although embodiment of this invention was described, the said embodiment was shown as an example and is not intending limiting the range of invention. The above embodiment can be implemented in various other forms, and various omissions, replacements, changes, additions, and the like can be made without departing from the scope of the invention. Moreover, the said embodiment and its deformation | transformation are included in the range of the invention, the summary, and the invention described in the claim, and its equal range.

  For example, in the above-described embodiment, the product reading apparatus 101 captures one product G at a time. However, the number of products G captured at a time is not particularly limited, and may be plural. When imaging a plurality of products G at a time, the similarity between the plurality of products G and the images (G1, G2, G3,...) Of the registered products is calculated, By comparing these, the confirmed product and the candidate product may be selected.

  Further, the configuration of each display screen described above is not limited to the examples of FIGS. 5 to 9, and a display area and operation buttons for displaying other elements may be provided.

  In the above embodiment, the POS terminal 11 includes the PLU file F1. However, the present invention is not limited thereto, and the product reading apparatus 101 may include the PLU file F1, or the POS terminal 11 and the product reading apparatus 101. The external device that can be accessed may be provided with the PLU file F1.

  In the above embodiment, the product reading apparatus 101 is applied as an information processing apparatus having the functions of the similarity calculation unit 53 and the similarity determination unit 54. However, the present invention is not limited thereto, and the similarity calculation unit 53, the similarity determination unit, and the like. The POS terminal 11 may be applied as an information processing apparatus having the function 54 and outputting the calculation result and the determination result to the commodity reading apparatus 101.

  In the above description, the example in which the similarity is determined in four stages using the three threshold values of the first to third thresholds as the plurality of threshold values has been described. However, the embodiment is not limited thereto. It may be determined in more stages using three or more threshold values, or may be determined using two or less threshold values. Each threshold value may be provided so as to be changeable by the user. Moreover, although the example which made the 1st-3rd threshold value and conditions ad common in all the goods was given in the above, it is not limited to this, Each threshold value and conditions may be set for every registered goods, respectively. Good.

  In the above description, the first condition is divided into two stages: the case where the confirmation screen 72 is displayed (condition b) and the case where the confirmation screen 72 is not displayed (condition a). One condition does not have to be divided into multiple stages. That is, when another example is shown along with the above-described example, the product may be determined without displaying the confirmation screen 72 when any of the conditions a and b is satisfied. It may be possible to set whether or not to display.

  Moreover, in the said embodiment, although the checkout system 1 comprised by the POS terminal 11 and the goods reading apparatus 101 was applied as a store system, it is not restricted to this, The function of the POS terminal 11 and the goods reading apparatus 101 is provided. Alternatively, the present invention may be applied to a single-unit apparatus. As a single device having the functions of the POS terminal 11 and the commodity reading device 101, there is a self-checkout device (hereinafter simply referred to as self-POS) installed and used in a store such as a supermarket.

  Here, FIG. 12 is an external perspective view showing the configuration of the self-POS 200, and FIG. 13 is a block diagram showing the hardware configuration of the self-POS 200. In addition, below, the same code | symbol is attached | subjected and shown about the same structure shown by FIG. 1 and FIG. 2, and the duplicate description is abbreviate | omitted. As shown in FIGS. 12 and 13, the main body 202 of the self-POS 200 includes a display device 106 with a touch panel 105 disposed on the surface, and a product reading unit that reads product images for recognizing (detecting) the product type and the like. 110 is provided.

  For example, a liquid crystal display is used as the display device 106. The display device 106 is a guidance screen for notifying the customer of the operation method of the self-POS 200, various input screens, a registration screen for displaying product information read by the product reading unit 110, a total price of goods, a deposit price, and change. Display the amount, etc. and display the payment screen for selecting the payment method.

  The product reading unit 110 reads a product image by the imaging unit 164 by a customer holding the code symbol attached to the product over the reading window 103 of the product reading unit 110.

  Further, on the right side of the main body 202, a product placement table 203 for placing unsettled products in a basket is provided, and on the left side of the main body 202, a product placement table 204 for placing settled products is provided. There are provided a bag hook 205 for hanging a bag for putting a product already settled, and a temporary placing table 206 for temporarily placing the settled product before putting it in the bag. The product placement tables 203 and 204 are provided with weighing machines 207 and 208, respectively, and have a function of confirming that the product weight is the same before and after settlement.

  In addition, the main body 202 of the self-POS 200 is provided with a changer 201 for depositing banknotes for payment and receiving fishing banknotes.

  When the self-POS 200 having such a configuration is applied to a store system, the self-POS 200 functions as an information processing apparatus.

  In addition, the program executed by each device of the above embodiment is provided by being incorporated in advance in a storage medium (ROM or storage unit) included in each device. Various types of files may be recorded and provided on a computer-readable recording medium such as a CD-ROM, a flexible disk (FD), a CD-R, or a DVD (Digital Versatile Disk). Furthermore, the storage medium is not limited to a medium independent of a computer or an embedded system, but also includes a storage medium that downloads and stores or temporarily stores a program transmitted via a LAN, the Internet, or the like.

  Further, the program executed by each device of the above embodiment may be stored on a computer connected to a network such as the Internet and provided by being downloaded via the network, or via a network such as the Internet. It may be configured to be provided or distributed.

DESCRIPTION OF SYMBOLS 1 Store system 51 Acquisition means 53 Similarity calculation means 54 Judgment means 55 Notification means 57 Reception means 101 Information processing apparatus 106 Display part 164 Imaging means 611 Sales registration processing means F1 Dictionary

JP 2003-173369 A

Embodiments of the present invention relates to an information processing instrumentation 置及 beauty program.

The information processing apparatus according to the embodiment includes a capturing unit that captures an image captured by an imaging unit, a feature amount of image data of an object captured by the imaging unit, and a feature amount of a product registered in a dictionary. It compares the similarity calculation means for calculating a similarity degree indicating whether and the extent similar, the similarity between the feature quantity of the product for each image data captured by the said capturing means, class similarity score satisfies a predetermined condition the Empire Ru case, determination determines a commodity candidate presenting means for displaying on the display device as a candidate of the imaged product candidates of the goods, the same different breeds belonging to the upper classification of whether or not there are a plurality of And the commodity candidate presenting means, when the determination means determines that there are a plurality of different varieties belonging to the same superior classification, the candidate for the commodity of different varieties belonging to the same superior classification to the display device. Show .

The program according to the embodiment includes a computer that captures an image captured by an image capturing unit, a feature amount of image data of an object captured by the image capturing unit, and a feature amount of a product registered in a dictionary. a similarity calculation means for calculating a similarity degree indicating how much are similar, by comparing the similarity between the feature quantity of the product for each of the capturing means captured image data, the similarity satisfies a predetermined condition the Empire Ru case, determination determines a commodity candidate presenting means for displaying on the display device as a candidate of the imaged product candidates of the goods, the same different breeds belonging to the upper classification of whether or not there are a plurality of and means, to function as the commodity candidate presenting means, the determination means when it determines that there are multiple different breeds belong to the same upper classes, before the candidate items from different breeds belonging to the same upper classes It is displayed on the display device.

Claims (9)

Capture means for capturing an image captured by the imaging means;
Similarity indicating how similar the image of the object imaged by the imaging means and the reference image of each registered product registered together with the upper classification indicating information related to each registered product registered in the dictionary Similarity calculation means for calculating the degree,
Whether the similarity of the upper class satisfying a predetermined condition by comparing the similarity with the reference image for each image captured by the capturing means and adding up the similarities of a plurality of varieties belonging to the same upper class Determining means for determining
Means for outputting information relating to products corresponding to the plurality of varieties satisfying the predetermined condition as candidates of the imaged products when the predetermined condition is satisfied by the determination means;
An information processing apparatus comprising: The determination unit compares a similarity with a reference image for each image captured by the capturing unit, and the similarity determines the captured object as one product corresponding to the reference image. To determine whether or not
When the determination unit satisfies the first condition, the notification unit notifies that the captured product is determined as a product corresponding to the reference image that satisfies the first condition. ,
The information processing apparatus according to claim 1. The informing means displays, as a product candidate, information related to a registered product that is a product of a different product type belonging to the same upper class that satisfies the predetermined condition on the display unit.
The information processing apparatus according to claim 1 or 2. The informing means displays information related to the registered product that is the product candidate in descending order of similarity.
The information processing apparatus according to claim 3. The notification means displays information related to the registered product that is the product candidate in order from the most frequently selected items.
The information processing apparatus according to claim 3. Capture means for capturing an image captured by the imaging means;
Similarity indicating how similar the image of the object imaged by the imaging means and the reference image of each registered product registered together with the upper classification indicating information related to each registered product registered in the dictionary Similarity calculation means for calculating the degree,
Whether the similarity of the upper class satisfying a predetermined condition by comparing the similarity with the reference image for each image captured by the capturing means and adding up the similarities of a plurality of varieties belonging to the same upper class Determining means for determining
Means for outputting information relating to products corresponding to the plurality of varieties satisfying the predetermined condition as candidates of the imaged products when the predetermined condition is satisfied by the determination means;
An accepting unit that accepts an operation for determining a candidate for the product as a product imaged by the imaging unit when at least one of the product candidates is selected;
Sales registration processing means for performing sales registration processing on the product imaged by the imaging means determined by the determination means or the receiving means;
Store system equipped with. Computer
Capture means for capturing an image captured by the imaging means;
Similarity indicating how similar the image of the object imaged by the imaging means and the reference image of each registered product registered together with the upper classification indicating information related to each registered product registered in the dictionary Similarity calculation means for calculating the degree,
Whether the similarity of the upper class satisfying a predetermined condition by comparing the similarity with the reference image for each image captured by the capturing means and adding up the similarities of a plurality of varieties belonging to the same upper class Determining means for determining
Means for outputting information relating to products corresponding to the plurality of varieties satisfying the predetermined condition as candidates of the imaged products when the predetermined condition is satisfied by the determination means;
Program to function as. Capture means for capturing an image captured by the imaging means;
Similarity indicating how similar the image of the object imaged by the imaging means and the reference image of each registered product registered together with the upper classification indicating information related to each registered product registered in the dictionary Similarity calculation means for calculating the degree,
For each image captured by the capturing unit, the similarity with the reference image is compared, and when the similarity of the same upper classification satisfies a predetermined condition, information on the product corresponding to the upper classification is: A product candidate presenting unit for displaying on the display device as a candidate for the captured product;
With
The display device has a first display area and a second display area,
The product candidate presenting unit displays information on products corresponding to a plurality of products belonging to the same higher class in the first display area, and the first display area displays the first display. Display information about product candidates other than those displayed in the area,
Information processing device. The commodity candidate presentation unit displays the first display area superimposed on the image of the object imaged by the imaging unit.
The information processing apparatus according to claim 8.