JP2012043378A - Store system and program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a store system that determines items that do not satisfy the standards as defectives per group of items.SOLUTION: A store system includes image output means 1613 for outputting the image taken by imaging means, object recognition means 611 for recognizing the specific object by reading the feature amount of the image output, multiple kinds of threshold value files for storing the threshold values for each group in which the target objects are respectively classified, about the similarity indicating how similar the recognized object is to the reference image of the object determined in advance, switching means 615 which switches the kind of the threshold value files according to the group including the target object, similarity determination means 613 which calculates the similarity about the recognized object and determines whether or not the calculated similarity exceeds the threshold values predetermined in the switched threshold value file, and defective notification means 614 notifies that the object is not recognized as the normal product if it is determined that the calculated similarity does not exceed the predetermined threshold value.

Description

  Embodiments described herein relate generally to a store system and a program.

  Conventionally, in a supermarket or the like, a code symbol such as a barcode or a two-dimensional code (for example, QR code (registered trademark)) attached to a product is imaged by a digital camera such as a CCD image sensor, and the code detected from the captured image 2. Description of the Related Art A product code reader that reads a product code by detecting and decoding a symbol is used.

  However, in the prior art, since a code symbol such as a barcode or a two-dimensional code must be attached to a product, a package or the like is separately prepared for a fresh food product or bread, and the code symbol is attached. Or a code symbol table is prepared.

  The store system according to the embodiment includes an image output unit that outputs an image captured by the imaging unit, and an object recognition unit that recognizes a specific object by reading a feature amount of the output image. In addition, the store system according to the embodiment has a similarity indicating how similar the recognized object is to a predetermined reference image of the object for each group into which the target object is classified. A plurality of types of threshold files for storing the threshold value, switching means for switching the type of the threshold file according to a group including a target object, and calculating the similarity for the recognized object, Similarity determination means for determining whether or not the similarity exceeds a predetermined threshold in the switched threshold file, and determined that the calculated similarity does not exceed a predetermined threshold A defective product notifying unit for notifying that the object is not recognized as a regular product.

  The program according to the embodiment causes a computer to function as an object recognition unit that recognizes a specific object by reading a feature amount of an image captured by the imaging unit. In addition, the program according to the embodiment shows how similar the computer is for each group in which the target object is classified, and how similar the computer recognizes the recognized reference image of the object. Switching means for switching a plurality of types of threshold files for storing threshold values for degrees according to a group including a target object, and calculating the similarity for the recognized object, and calculating the similarity Is a similarity determination unit that determines whether or not the threshold value that is preset in the switched threshold file is exceeded, and when it is determined that the calculated similarity does not exceed a predetermined threshold, It functions as defective product notifying means for notifying that the object is not recognized as a genuine product.

FIG. 1 is a perspective view showing a checkout system according to the present 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 a functional configuration of the CPU. FIG. 5 is a flowchart illustrating an example of processing operation of the checkout system. FIG. 6 is a conceptual diagram illustrating an example of a reading area in the reading window. FIG. 7 is an explanatory diagram schematically showing a specific example of processing.

  Below, the store system and program concerning this embodiment are explained with reference to drawings for 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. The present embodiment is an application example to a checkout system introduced in a store such as a supermarket or a bread donut store.

  FIG. 1 is a perspective view showing a checkout system 1. As shown in FIG. 1, the checkout system 1 includes a POS terminal 11 that performs registration and settlement of commodities related to one transaction. The POS terminal 11 is placed on the upper surface of the drawer 21 on the checkout table 51. 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 by an operator (user) 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 behind 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 51 on which the POS terminal 11 is placed. A cargo receiving surface 152 is formed on the upper surface of the counter table 151. A shopping basket 153 for storing the product A is placed on the cargo receiving surface 152. The shopping basket 153 can be divided into a first shopping basket 153a brought in by a customer and a second shopping basket 153b positioned at a position sandwiching the commodity reading device 101 from the first shopping basket 153a. The shopping basket 153 (first shopping basket 153a) is not limited to a so-called basket shape, and may be a tray used in a store such as a bakery. The shopping basket 153 (second shopping basket 153b) is not limited to a so-called basket shape, and may be a paper box used in a store such as a donut shop.

  On the receiving surface 152 of the counter stand 151, a 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 on which a touch panel 105 is laminated. 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 A for one transaction is stored. The product A is moved to the second shopping basket 153b by the operator's hand. In this movement process, the product A is directed to the reading window 103 of the product reading apparatus 101. At this time, the imaging unit 164 (see FIG. 2) arranged on the back side of the reading window 103 images the product A. The merchandise reading apparatus 101 detects all or part of the merchandise A included in the image captured by the imaging unit 164. When the product reading apparatus 101 detects that the image captured by the imaging unit 164 includes all or part of the product A, the captured image is output to the POS terminal 11. In the POS terminal 11, for each of the products A, the product reading unit is referred to with reference to a PLU file F1 (details will be described later, see FIG. 3) in which information related to sales registration of the product A and an image of the product A are associated with each other. The product A to be registered for sales is identified by recognizing the product A, which is a specific object, from all or part of the images of the product A captured by the imaging unit 164 of 110, and the product ID of the identified product A The sales registration, such as product classification, product name, unit price, etc., is recorded in a sales master file (not shown).

  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 62 (Read Only Memory) and a RAM 63 (Random Access Memory) to a CPU 61 (Central Processing Unit) 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”,...

  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 sequentially 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. Examples of files stored in the HDD 64 are the PLU file F1 and the threshold file F2 that are distributed and stored from the store computer SC.

  The PLU file F1 is a product file in which an association between information related to sales registration of the product A and an image of the product A is set for each of the products A displayed and sold in the store. FIG. 3 is a conceptual diagram illustrating the data configuration of the PLU file F1. As shown in FIG. 3, for each product A, the PLU file F <b> 1 includes a product ID uniquely assigned to each product A, product information to which the product A belongs, product information such as product name, unit price, and product image obtained by capturing the product. And a file for storing them. Such a PLU file F1 is divided according to target product groups (bread, fruits and vegetables, side dishes, etc.).

  The threshold file F2 is a file that stores a threshold of “similarity: 0.XX”. Although the details will be described later, the threshold value of “similarity: 0.XX” is the value of the product stored in the PLU file F1 in advance when the product A is a fruit or a fresh product and the freshness is changed. By comparing with the product image, it is possible to determine that the product is different from the normal state. Such a threshold file F2 is also divided by target product groups (bread, fruits and vegetables, side dishes, etc.).

  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 and the like. 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 POS terminal 11 via the connection interface 176. The operation of the display / operation unit 104 is controlled by the CPU 61 of the POS terminal 11.

  The imaging unit 164 is a color CCD image sensor, a color COMS 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 sequentially captured by the imaging unit 164 at a predetermined frame rate 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 sound output unit 165 performs notification by sound such as a warning sound 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. Under the control of the CPU 161, an image (an image including all or part of the product A) imaged by the imaging unit 164 of the product reading apparatus 101 is output via the connection interface 175, and the POS terminal via the connection interface 65. 11 is input.

  Next, functional units of the CPU 161 and the CPU 61 that are realized by the CPU 161 and the CPU 61 sequentially executing programs will be described with reference to FIG. FIG. 4 is a block diagram illustrating the functional configuration of the CPU 161 and the CPU 61. As illustrated in FIG. 4, the CPU 161 has functions as a captured image capturing unit 1611, a product detection unit 1612, and an image output unit 1613 that is an image output unit by sequentially executing a program. Similarly, the CPU 61 includes an object recognition unit 611 that is an object recognition unit, a product registration unit 612, a similarity determination unit 613 that is a similarity determination unit, a defective product notification unit 614 that is a defective product notification unit, and a mode that is a switching unit. A function as the switching unit 615 is provided.

  The captured image capturing unit 1611 outputs an imaging on signal to the imaging unit 164 and causes the imaging unit 164 to start an imaging operation. The captured image capturing unit 1611 sequentially captures frame images captured by the imaging unit 164 and stored in the RAM 163 after the start of the imaging operation. Captured frame images by the captured image capturing unit 1611 are performed in the order stored in the RAM 163.

  The product detection unit 1612 detects all or part of the product A included in the frame image captured by the captured image capture unit 1611 using a pattern matching technique or the like. Specifically, an outline or the like is extracted from an image obtained by binarizing the captured frame image. Next, the contour line extracted from the latest frame image is compared with the contour line extracted from the current frame image, and the part that has changed, that is, the product directed to the reading window 103 for sales registration Detects reflections. 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 the skin color area is detected, that is, when the reflection of the clerk's hand is detected, the contour line is detected as described above, so that the clerk's hand is assumed to be grasped by the hand. Attempt contour extraction. At this time, when the contour indicating the shape of the hand and the other contour are detected, the reflection of the product is detected because the clerk's hand is holding the product.

  The image output unit 1613 outputs the frame image captured by the captured image capturing unit 1611 to the POS terminal 11 via the connection interface 175. The image output unit 1613 may sequentially output the frame image captured by the captured image capturing unit 1611 to the POS terminal 11, but in the present embodiment, all or part of the product A is detected by the product detection unit 1612. Assume that a frame image is output to the POS terminal 11. In this way, by outputting a frame image in which all or part of the product A is detected by the product detection unit 1612 to the POS terminal 11, the PLU file F <b> 1 is obtained from the frame image that does not include all or part of the product A. It is possible to prevent the POS terminal 11 from performing object recognition performed with reference to FIG. Since recognition processing of a specific object requires processing time, by preventing processing with a frame image that does not include recognition of the specific object and does not include all or part of the product A, processing time can be reduced. Shortening can be achieved.

  The object recognizing unit 611 refers to the product image of the PLU file F1, and from the whole or a part of the image of the product A imaged by the imaging unit 164 of the product reading device 101, the color, surface unevenness, etc. The product A is recognized as a specific object by reading the state of the surface. Note that the object recognition unit 611 does not consider the outline or size of the product A in order to shorten the processing time. In the POS terminal 11, the product read by the product reading device 101 can be identified from the products registered in advance in the PLU file F1 based on the recognition result of the object recognition unit 611.

  The similarity determination unit 613 calculates a similarity for the product A recognized by the object recognition unit 611, and determines whether the similarity exceeds a predetermined threshold in the threshold file F2.

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>

  The product registration unit 612 is information related to sales registration related to the product image recognized by the object recognition unit 611, that is, the product ID, product classification, product name, and product name of the product identified as the product read by the product reading device 101. Record unit price etc. in sales master file etc. and register sales.

  The mode switching unit 615 switches the type of the PLU file F1 depending on the target product group (bread, fruits and vegetables, etc.), and also switches the type of the threshold file F2 in conjunction with the switching of the type of the PLU file F1.

  Next, the operation of the checkout system 1 will be described in detail. FIG. 5 is a flowchart showing an example of the operation of the checkout system 1 according to the present embodiment.

  First, the operation on the commodity reading apparatus 101 side will be described. As illustrated in FIG. 5, when processing is started in response to the start of product registration by the POS terminal 11, the captured image capturing unit 1611 outputs an imaging on signal to the imaging unit 164 and performs imaging by the imaging unit 164. Is started (step S1). Next, the captured image capturing unit 1611 captures the frame image (captured image) captured by the image capturing unit 164 and stored in the RAM 163 (step S2). Next, the product detection unit 1612 detects all or part of the product A from the frame image captured by the captured image capture unit 1611 (step S3). Next, the image output unit 1613 outputs a frame image in which all or part of the product A is detected by the product detection unit 1612 to the POS terminal 11 (step S4).

  FIG. 6 is a conceptual diagram illustrating an example of the reading region R in the reading window 103. Specifically, FIG. 6 is a conceptual diagram illustrating the reading region R when the product A is read. As shown in FIG. 6, when the product A is reflected in the reading region R during the above-described movement process of the product A, all or part of the product A is detected in step S3 from the frame image obtained by capturing the reading region R. Is done. By detecting all or part of the product A, a frame image obtained by capturing the reading region R is output to the POS terminal 11 in step S4.

  Next, the CPU 161 determines the presence / absence of business end from the POS terminal 11 by a product registration end notification or the like (step S5). When business is continued (step S5: No), the CPU 161 returns the process to step S2 to continue the process. When the work is to be ended (step S5: Yes), the captured image capturing unit 1611 outputs an imaging off signal to the imaging unit 164, ends the imaging by the imaging unit 164 (step S6), and ends the process.

  Next, the operation on the POS terminal 11 side will be described. On the POS terminal 11 side, it is assumed that the mode switching unit 615 has switched to a PLU file F1 and a threshold file F2 for a predetermined product group (for example, fruits and vegetables). As shown in FIG. 5, 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 detects all or part of the product A output from the product reading device 101. A frame image is received (step S11). Next, the object recognizing unit 611 refers to the product image of the PLU file F1 for a predetermined product group (for example, fruits and vegetables), and uses all or a part of the product A output from the product reading apparatus 101. The product A is recognized as a specific object (step S12).

  Next, the similarity determination unit 613 calculates the similarity for the product A recognized by the object recognition unit 611 (step S13). As for the similarity, when the product image of each product stored in the PLU file F1 is 100% = “similarity: 1.0”, all or a part of the image of the product A output from the product reading apparatus 101 is displayed. It shows how similar they are. As described above, the degree of similarity is calculated according to the state of the surface such as the hue and the surface roughness. For example, the weight may be changed according to the color tone and the surface unevenness.

  Next, the similarity determination unit 613 uses a threshold (“similarity: 0.XX”) that is determined in advance in the threshold file F2 for which the similarity calculated in step S13 targets a predetermined product group (for example, fruits and vegetables). It is determined whether or not it exceeds (step S14).

  The degree of similarity calculated in step S13 by the similarity determination unit 613 exceeds a predetermined threshold value (“similarity: 0.XX”) in the threshold file F2 for a predetermined product group (for example, fruits and vegetables). If it is determined that the product is registered (step S14: Yes), in step S15, the product registration unit 612 recognizes the product A, which is a specific object, and the product selected from the recognition result. Register A's sales.

  Next, the CPU 61 determines whether or not there is an end of business due to the end of sales registration by an operation instruction of the keyboard 22 (step S16). When the business is continued (step S16: No), the CPU 61 returns the process to step S11 and continues the process. When the business is to be ended (step S16: Yes), the CPU 61 ends the process.

  On the other hand, the similarity determination unit 613 uses a threshold (“similarity: 0.XX”) that is determined in advance in the threshold file F2 for which the similarity calculated in step S13 targets a predetermined product group (for example, fruits and vegetables). When it is determined that the product does not exceed (No at Step S14), the defective product informing unit 614 informs the store clerk that the product is not recognized as a regular product (Step S17), and stops sales or sells at a discount. Encourage stores to take measures. Specifically, the defective product notification unit 614 displays a screen on the display device 106 via the display device 23 and the connection interfaces 65 and 176, and outputs a warning sound by the audio output unit 165 via the connection interfaces 65 and 175. Inform the store clerk about the error. By performing this notification, the checkout system 1 can prompt the store clerk to perform an appropriate operation such as reading another product A.

  If the CPU 61 determines that there has been a discount sales instruction by operating the keyboard 22 or the like (step S18: Yes), in step S15, the product registration unit 612 recognizes the recognition result of the product A that is a specific object, The sales of the product A selected from the recognition results and specified as one is discounted and registered. If it is determined that there has been an instruction to cancel sales by operating instructions on the keyboard 22 (step S18: No), the process returns to step S11.

  As shown in FIG. 7, when the product A recognized by the object recognition unit 611 is “banana”, the threshold value file F <b> 2 targets a predetermined product group (for example, fruits and vegetables) with a threshold value of “similarity: 0.50”. Is stored, the similarity shown for (a) is 0.717, so that the calculated similarity is determined to exceed a predetermined threshold. On the other hand, for the product shown in (b), since the similarity is 0.252, it is determined that the calculated similarity does not exceed a predetermined threshold. Therefore, sales of the product shown in (a) are registered as “banana” as usual. On the other hand, although the product shown in (b) is recognized as “banana” for the time being, it has become old, discolored, damaged, or deformed, that is, the color or surface irregularity is not normal. Sales are not registered as good products. In the same manner, the product image of the regular baking condition or fried condition is stored in the PLU file F1 in the same manner, and it is determined that it is a defective product if the lack of baking / too much or insufficient / too deep frying is outside the threshold. can do.

  Thus, according to the checkout system 1 of the present embodiment, if a fresh product or side dish is old, discolored, damaged, deformed, or has a different color due to poor cooking, By comparing with the product image stored in the PLU file F1 for each group, it is possible to determine that a product out of the standard is a defective product.

  In particular, it is possible to compare with regular products with numerical judgment even in stores such as busy stores where there are restrictions on the time to check the freshness of products and stores that have many store staff and individual differences in cooking of prepared foods It becomes.

  Programs executed by the POS terminal 11 and the commodity reading apparatus 101 according to the present embodiment are provided by being incorporated in advance in a ROM or the like. The programs executed by the POS terminal 11 and the product reading apparatus 101 according to the present embodiment are files that can be installed or executed, and are CD-ROM, flexible disk (FD), CD-R, and DVD (Digital Versatile Disk). ) Or the like may be recorded and provided on a computer-readable recording medium.

  Further, the program executed by the POS terminal 11 and the commodity reading apparatus 101 according to the present embodiment may be provided by being stored on a computer connected to a network such as the Internet and downloaded via the network. good. Further, the program executed by the POS terminal 11 and the commodity reading apparatus 101 according to the present embodiment may be configured to be provided or distributed via a network such as the Internet.

  The program executed by the POS terminal 11 of the present embodiment has a module configuration including the above-described units (the object recognition unit 611, the product registration unit 612, the similarity determination unit 613, the defective product notification unit 614, and the mode switching unit 615). As the actual hardware, the CPU (processor) reads out the program from the ROM and executes it, so that the above-described units are loaded onto the main storage device, and the object recognition unit 611, the product registration unit 612, the similarity determination A unit 613, a defective product notification unit 614, and a mode switching unit 615 are generated on the main storage device.

  The program executed by the product reading apparatus 101 according to the present embodiment has a module configuration including the above-described units (the captured image capturing unit 1611, the product detection unit 1612, and the image output unit 1613). The CPU (processor) reads the program from the ROM and executes it, so that the above-described units are loaded onto the main storage device, and the captured image capturing unit 1611, the product detection unit 1612, and the image output unit 1613 are loaded onto the main storage device. It is to be generated.

  In this embodiment, the object recognition unit 611, the product registration unit 612, the similarity determination unit 613, the defective product notification unit 614, and the mode switching unit 615 are provided on the POS terminal 11 side, but the present invention is not limited thereto. Instead, an object recognition unit 611, a product registration unit 612, a similarity determination unit 613, a defective product notification unit 614, and a mode switching unit 615 may be provided on the product reading apparatus 101 side. In this case, the commodity reading apparatus 101 is a store system.

  Further, in the present embodiment, the captured image capturing unit 1611, the product detection unit 1612, and the image output unit 1613 are provided on the product reading apparatus 101 side. However, the present invention is not limited to this, and the captured image is captured on the POS terminal 11 side. An image capturing unit 1611, a product detection unit 1612, and an image output unit 1613 may be provided. In this case, the POS terminal 11 is a store system.

DESCRIPTION OF SYMBOLS 1 Store system 164 Imaging means 611 Object recognition means 613 Similarity determination means 614 Defective product notification means 615 Switching means 1613 Image output means F1 Product file F2 Threshold file

Japanese Patent Laid-Open No. 06-223271

Claims (6)

Image output means for outputting an image captured by the imaging means;
Object recognition means for recognizing a specific object by reading the feature amount of the output image;
A plurality of types of threshold values for storing a threshold value for similarity indicating how much the recognized object is similar to a predetermined reference image of the object for each group into which the target object is classified Files and
Switching means for switching the type of the threshold file according to a group including the target object;
A similarity determination unit that calculates the similarity for the recognized object, and determines whether the calculated similarity exceeds a threshold set in advance in the switched threshold file;
When it is determined that the calculated similarity does not exceed a predetermined threshold value, defective product notifying means for notifying that the object is not recognized as a genuine product,
A store system comprising: A product file that stores product management information in which information related to sales registration of the object and an image of the object are associated with each group that classifies the target object,
The switching means also switches the type of the product file according to a group including a target object.
The store system according to claim 1. The object recognition means uses the state of the surface of the object as a feature amount of the image, and calculates a similarity according to the state of the surface of the object.
The store system according to claim 1 or 2, characterized in that. Computer
Object recognition means for recognizing a specific object by reading the feature quantity of the image captured by the imaging means;
A plurality of types of threshold values for storing a threshold value for similarity indicating how much the recognized object is similar to a predetermined reference image of the object for each group into which the target object is classified Switching means for switching the file type according to the group including the target object;
A similarity determination unit that calculates the similarity for the recognized object, and determines whether the calculated similarity exceeds a threshold set in advance in the switched threshold file;
When it is determined that the calculated similarity does not exceed a predetermined threshold value, defective product notifying means for notifying that the object is not recognized as a genuine product,
A program characterized by functioning as For each group into which the object to be classified is classified, the switching means is also a product file type that stores product management information in which information related to sales registration of the object and an image of the object are associated with each other. Switch according to the group that contains the object,
The program according to claim 4. The object recognition means uses the state of the surface of the object as a feature amount of the image, and calculates a similarity according to the state of the surface of the object.
6. The program according to claim 4 or 5, characterized in that:

Images