JP2018112559A - Measurement system, commodity selling data processor, and program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a measurement system, a commodity selling data processor, and a program capable of easily measuring a weight of an object except for weight of a container.SOLUTION: A measurement system comprises: a measurement part; an imaging part; identification means; first extraction means; and first calculation means. The measurement part measures weights of a container and an object stored in the container. The imaging part images the container whose weight is measured by the measurement part. The identification means identifies to which kind, a kind of the container contained in the image imaged by the imaging part belongs, out of plural kinds of containers which are registered in advance. The first extraction means extracts a weight of the kind of the container which is identified by the identification means from a first database for storing weights of containers for every kind of container. The first calculation means subtracts the weight of the kind of the container extracted by the first extraction means from the weight calculated by the calculation part, for calculating the weight of the object.SELECTED DRAWING: Figure 7

Description

  Embodiments described herein relate generally to a weighing system, a merchandise sales data processing apparatus, and a program.

  2. Description of the Related Art Conventionally, in retail stores such as supermarkets, measurement sales (weighing sales) for measuring and selling products that customers want to purchase are performed. In this weighing sale, the customer places an arbitrary amount of goods in a container. And a customer places the container which put the goods in a measuring instrument. Thereby, a measuring device calculates the price according to the weight of goods. At this time, the measuring instrument can measure the weight of the correct product by subtracting the weight of the container from the measurement result.

  Therefore, in the retail store, the weight of the container is subtracted from the measurement result by specifying one kind of container and registering the weight of the container in advance. In this case, the customer cannot select a container according to the product. Thus, a method is conceivable in which the weights of a plurality of types of containers are registered in advance in the measuring instrument and the weight of the container is subtracted from the measurement result by the customer selecting the container. However, in this case, the customer has to perform an operation of selecting a container, which is troublesome.

  The problem to be solved by the present invention is to provide a weighing system, a merchandise sales data processing apparatus, and a program capable of easily weighing the weight of an article not including the weight of a container.

  The weighing system according to the embodiment includes a weighing unit, an imaging unit, an identification unit, a first extraction unit, and a first calculation unit. The weighing unit measures the weight of the container and the article placed in the container. The imaging unit images the container weighed by the weighing unit. The identification unit identifies which of the container types registered in advance is the type of the container included in the image captured by the imaging unit. The first extracting means extracts the weight of the container type identified by the identifying means from a first database that stores the weight of the container for each kind of container. The first calculation means calculates the weight of the article by subtracting the weight of the container type extracted by the first extraction means from the weight measured by the weighing unit.

FIG. 1 is an external perspective view showing the front side of the weighing system according to the present embodiment. FIG. 2 is a block diagram showing a hardware configuration of the weighing system. FIG. 3 is a conceptual diagram illustrating the data configuration of the product master. FIG. 4 is a conceptual diagram illustrating the data configuration of the container master. FIG. 5 is an external perspective view showing an example of the shape of the container. FIG. 6 is a block diagram illustrating a functional configuration of each device included in the weighing system. FIG. 7 is a flowchart showing the flow of the weighing process. FIG. 8 is a flowchart showing the flow of the container identification process. FIG. 9 is a flowchart showing the flow of the product identification process.

  Hereinafter, a weighing system, a merchandise sales data processing device, and a program according to embodiments will be described in detail with reference to the drawings. The embodiment described below is an embodiment of a weighing system, a merchandise sales data processing apparatus, and a program, and does not limit the configuration, specifications, or the like. This embodiment is an application example to a weighing system, a merchandise sales data processing apparatus, and a program that are introduced into a store such as a supermarket and sells merchandise such as sugar beet and meat.

  Here, FIG. 1 is an external perspective view showing the front side of the weighing system 1 according to the present embodiment. As shown in FIG. 1, the weighing system 1 roughly includes an electronic balance 10, a printer 20, and a camera 30.

  The electronic balance 10 is a scale for weighing the product. The electronic balance 10 includes a housing 11, a weighing pan 12, a first display unit 13, a first touch panel 14, a keyboard 15, a second display unit 16, and a second touch panel 17.

  The housing 11 encloses and protects the electronic balance 10. The electronic balance 10 includes a weighing pan 12 on which a product for weighing is placed on the entire top surface of the housing 11. The electronic balance 10 includes a first display unit 13 on the front side. The first display unit 13 is, for example, a display device such as a liquid crystal display referred to by a store clerk. And the 1st display part 13 is provided with the 1st touch panel 14 which inputs operation by selecting the display content displayed on the 1st display part 13 with a finger, a dedicated pen, etc. In addition, the electronic balance 10 includes a keyboard 15 on the right side of the first display unit 13 and the first touch panel 14. The keyboard 15 has keys for inputting various operations such as numeric keys.

  In addition, the electronic balance 10 includes a second display unit 16 on the back side. The second display unit 16 is a display device such as a liquid crystal display referred to by a customer, for example. And the 2nd display part 16 is provided with the 2nd touch panel 17 which inputs operation by selecting the display content displayed on the 2nd display part 16 with a finger, a dedicated pen, etc.

  The printer 20 is a printing device that issues labels and receipts. The printer 20 includes a housing 21 and an issue port 22. The housing 21 encloses and protects the printer 20. The printer 20 includes an issue port 22 on the front side. The issuing port 22 then discharges the printed label or receipt.

  The camera 30 includes an imaging unit 31 and a support unit 32 that supports the imaging unit 31. The imaging unit 31 is an imaging device having an imaging element such as a charge coupled device (CCD) or a complementary metal-oxide semiconductor (CMOS). The support unit 32 supports the imaging unit 31 above the weighing pan 12. Thereby, the imaging unit 31 images the product placed on the weighing pan 12. That is, the imaging unit 31 images the container and the product placed in the container.

  Next, the hardware configuration of the above-described weighing system 1 will be described. FIG. 2 is a block diagram showing a hardware configuration of the weighing system 1. The weighing system 1 includes a control unit 100 that comprehensively controls various operations and each unit of the electronic balance 10. The control unit 100 is a microcomputer including a central processing unit (CPU), a read only memory (ROM), a random access memory (RAM), a real time clock (RTC), and the like. The CPU executes various arithmetic processes and controls various functions provided in the weighing system 1. The ROM stores various programs and data. The RAM temporarily stores various programs and stores various data in a rewritable manner. The RTC keeps the current date and time.

  The control unit 100 includes a first display unit 13, a first touch panel 14, a keyboard 15, a second display unit 16, a second touch panel 17, a weighing unit 101, a first connection interface 102, and a second connection interface via a bus 105. 103 and the storage unit 104. The control unit 100 is connected to the printer 20 via the first connection interface 102. Further, the control unit 100 is connected to the imaging unit 31 via the second connection interface 103.

  The control unit 100 includes a first display unit 13, a first touch panel 14, a keyboard 15, a second display unit 16, a second touch panel 17, a weighing unit 101, a first connection interface 102, a second connection interface 103, and a storage unit. 104 is controlled. Further, the control unit 100 controls the printer 20 via the first connection interface 102. Further, the control unit 100 controls the imaging unit 31 via the second connection interface 103.

  The weighing unit 101 is a scale for weighing a container placed on the weighing pan 12 and a commodity that is an article placed in the container. The weighing unit 101 includes a load cell (not shown) and an analog-digital conversion circuit (not shown). The load cell is a sensor that is connected to the weighing pan 12 and measures the weight of the product placed on the weighing pan 12. The load cell outputs a measurement value corresponding to the weight of the measurement object including the product as an analog value. The analog-digital conversion circuit converts the analog value into a digital value and outputs it.

  The printer 20 includes a printer controller (not shown) that performs drive control based on print data. Then, the control unit 100 controls the printer controller using a partial area of the RAM as a print buffer. As a result, the control unit 100 drives the thermal head and pulse motor of the printer 20 to print labels and receipts.

  The storage unit 104 is a storage device such as an HDD (Hard Disk Drive) or an SSD (Solid State Drive). The storage unit 104 stores various programs executed by the control unit 100 (CPU) and a database. The storage unit 104 stores, for example, a weighing program PR, a product master M1, and a container master M2 in advance. The weighing program PR is a program for causing the control unit 100 to function as a means for performing various functions provided in the weighing system 1.

  Here, FIG. 3 is a conceptual diagram illustrating the data configuration of the product master M1. The product master M1 is a database or the like having information on products. Note that the storage unit 104 may store the product master M1 by dividing it into one or a plurality of databases. Further, the merchandise master M1 may be stored not in the storage unit 104 but in other devices such as a store server (not shown). In this case, the weighing system 1 may extract necessary information from the device storing the product master M1 via a communication interface (not shown).

  The product master M1 stores a product code, a product name, a unit price, and a product feature amount for each product. The product code is identification information that can identify the product. The product name is the name of the product. The unit price is a price per unit amount of the product. In addition, the unit of the unit quantity of goods is gram etc. The product feature value is a parameterization of appearance features such as the standard shape, surface color, pattern, and unevenness of the product.

  Here, FIG. 4 is a conceptual diagram illustrating the data configuration of the container master M2. The container master M2 is a database or the like having information on containers that are containers for storing products. Note that the storage unit 104 may store the container master M2 by dividing it into one or a plurality of databases. The container master M2 may be stored in another device such as a store server (not shown) instead of the storage unit 104. In this case, the weighing system 1 may extract necessary information from the device storing the container master M2 via a communication interface (not shown).

  The container master M2, which is the first database or the second database, stores a container code, a container type name, a weight, a product unit price, and a container feature amount for each container type. The container code is identification information that can identify the type of the container. The container type name is the name of the container type. The weight is the weight of the container type. The product unit price is a price per unit amount of the product put in the container. A store that sells a product may define a product to be put in a container for each type of container. In this case, since the commodity is determined by the container, the weighing system 1 can obtain the selling price by measuring the weight of the commodity. Therefore, the product unit price is set when a product to be put into a container is determined for each type of container. The product unit price is set to Null or the like indicating that the product is empty when the product to be put in the container is not determined for each type of container. The container feature amount is a parameterization of the appearance characteristic of the container. The container characteristic amount is obtained by parameterizing the shape of the container, such as the shape of the container, the size of the container, and the unevenness.

  Here, FIG. 5 is an external perspective view showing an example of the shape of the container. FIG. 5A is an external perspective view showing the circular container 40a. The circular container 40a is used when a product such as a donut or a soup is placed. FIG. 5B is an external perspective view showing the rectangular container 40b. The rectangular container 40b is used when a small amount of merchandise such as one person is placed. FIG. 5C is an external perspective view showing a large rectangular container 40c. The large rectangular container 40c is used when a large number of people or large products are put. FIG. 5D is an external perspective view showing a rectangular container 40d for a plurality of products. The rectangular container 40d for a plurality of products is used when a plurality of products are put. Hereinafter, when the circular container 40a, the rectangular container 40b, the large rectangular container 40c, and the rectangular container 40d for a plurality of products are not distinguished, they will be described as the container 40. As shown in FIG. 5, there are containers 40 of various sizes in order to correspond to the shape, size, and quantity of products to be put in the container 40. Therefore, the container feature value stores a feature value such as the shape, size, and unevenness of the container 40.

  Further, the container feature amount may include a parameterized color of all or part of the container 40. More specifically, the color of all or part of the container 40 includes all colors of the container 40, some colors of the container 40, combinations of all or part of the colors of the container 40, and the like. Specifically, the color of all or a part of the container 40 is a color of the container 40, a handle of the container 40, a mark attached to the container 40, a combination thereof, or the like.

  Next, the functional configuration of each device included in the weighing system 1 will be described. FIG. 6 is a block diagram illustrating a functional configuration of each device included in the weighing system 1.

  The CPU of the control unit 100 expands the weighing program PR stored in the storage unit 104 to the RAM and operates according to the weighing program PR, thereby generating each functional unit shown in FIG. 6 on the RAM. Specifically, the weighing system 1 includes a weighing control unit 1001, an imaging control unit 1002, a container identification unit 1003, a product identification unit 1007, a product weight calculation unit 1011, a price calculation unit 1012, and a print control unit 1013 as functional units. Prepare. The container identification unit 1003 includes a container detection unit 1004, a container similarity calculation unit 1005, and a container determination unit 1006. The product identification unit 1007 includes a product detection unit 1008, a product similarity calculation unit 1009, and a product determination unit 1010.

  The weighing control unit 1001 controls the weighing unit 101 that measures the weight of the container 40 and the product placed in the container 40. The weighing control unit 1001 receives the weight output from the weighing unit 101.

  The imaging control unit 1002 causes the imaging unit 31 to image the container 40 weighed by the weighing unit 101 and the product placed in the container 40. Specifically, the imaging control unit 1002 causes the imaging unit 31 to start an imaging operation when the measurement control unit 1001 controls the measurement unit 101 to measure the container 40 and the product placed in the container 40. . Then, the imaging control unit 1002 stores the image captured by the imaging unit 31 in the RAM.

  The container identifying unit 1003 as identification means identifies which type of the container 40 registered in the container master M2 corresponds to the container 40 included in the image captured by the imaging unit 31.

  The container detection unit 1004 detects the container 40 from the image stored in the RAM by the imaging control unit 1002 using a pattern matching technique or the like. Specifically, the container detection unit 1004 extracts a contour line or the like from an image obtained by binarizing the captured image. That is, the container detection unit 1004 detects the container 40 based on a difference obtained by comparing an image in which the container 40 is not captured and a contour line extracted from the image in which the container 40 is captured. The container detection unit 1004 can detect one or a plurality of containers 40.

  The container similarity calculation unit 1005 calculates the container similarity between the container 40 detected by the container detection unit 1004 and the type of the container 40 registered in the container master M2. Specifically, the container similarity calculation unit 1005 extracts the container feature amount of the appearance of the container 40 detected by the container detection unit 1004 from the image of the container 40 captured by the imaging unit 31. At this time, the container similarity calculation unit 1005 extracts, as a container feature amount of the appearance of the container 40, a parameterized shape of the container 40 such as the shape of the container 40, the size of the container 40, and the uneven state. Alternatively, the container similarity calculation unit 1005 extracts a parameterized color of all or part of the container 40 as the container feature amount of the appearance of the container 40. Note that the container similarity calculation unit 1005 may extract both the container feature amount relating to the shape of the container 40 and the container feature amount relating to all or part of the color of the container 40.

  Then, the container similarity calculation unit 1005 calculates the similarity by comparing the container feature amount of the type of the container 40 registered in the container master M2 with the container feature amount of the container 40 included in the image. Here, the container similarity is the total or part of the container feature amount of the container 40 when the container feature amount of the container 40 registered in the container master M2 is 100% = “container similarity: 1.0”. It shows how much is similar.

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 container determination unit 1006 determines which of the types of containers 40 registered in the container master M2 the container 40 detected by the container detection unit 1004 corresponds to. That is, the container determination unit 1006 determines the type of the container 40 that the weighing unit 101 has weighed based on the container similarity calculated by the container similarity calculation unit 1005. Specifically, the container determination unit 1006 determines that the type of the container 40 having the highest container similarity calculated by the container similarity calculation unit 1005 is the type of the container 40 detected by the container detection unit 1004.

  By the above-described function unit, the container identifying unit 1003 identifies the container 40 based on at least one of the container feature amount relating to the shape of the container 40 and the container feature amount relating to all or part of the color of the container 40. can do. Furthermore, the container detection unit 1004 of the container identification unit 1003 can detect one or a plurality of containers 40 included in the image captured by the imaging unit 31. Therefore, the container identifying unit 1003 can execute processing for identifying the containers 40 for all the containers 40 included in the image captured by the imaging unit 31.

  The product identification unit 1007 identifies which of the products registered in the product master M1 corresponds to the product contained in the container 40 included in the image captured by the imaging unit 31.

  The product detection unit 1008 detects a product put in the container 40 from the image stored in the RAM by the imaging control unit 1002 using a pattern matching technique or the like. Specifically, the product detection unit 1008 extracts contour lines and the like from the binarized image. The product detection unit 1008 detects a product based on the contour line inside the container 40 detected by the container detection unit 1004. That is, the product detection unit 1008 determines the product based on the difference between the contour line inside the container of the image of the container 40 in which no product is placed and the contour line inside the container of the image of the container 40 in which the product is placed. Is detected. Note that the product detection unit 1008 can detect one or a plurality of products.

  The product similarity calculation unit 1009 calculates the product similarity between the product detected by the product detection unit 1008 and the type of product registered in the product master M1. Specifically, the product similarity calculation unit 1009 extracts the surface state such as the color of the product and the unevenness of the surface from the image captured by the imaging unit 31 as the product feature amount. The product similarity calculation unit 1009 calculates the product similarity by comparing the product feature amount of each product registered in the product master M1 with the product feature amount of the product included in the image. Here, as for the product similarity, when the product feature amount of the registered product registered in the product master M1 is 100% = “product similarity: 1.0”, the product feature amount of all or a part of the product is included. It shows how similar they are. Note that the product similarity calculation unit 1009 may calculate the product similarity by changing the weighting between the color tone and the surface roughness.

  The product determination unit 1010 determines the type of product put in the container 40 included in the image based on the product similarity calculated by the product similarity calculation unit 1009. Specifically, the product determination unit 1010 determines that the product with the highest product similarity calculated by the product similarity calculation unit 1009 is the product placed in the container 40 included in the image.

  The product weight calculation unit 1011 calculates the weight of the product placed on the weighing pan 12. Specifically, the product weight calculation unit 1011 which is the first extraction unit extracts the weight of the type of the container 40 determined by the container determination unit 1006 from the container master M2. And the product weight calculation part 1011 which is a 1st calculation means subtracts the weight extracted from the container master M2 from the weight which the measurement part 101 measured. Thereby, the product weight calculation unit 1011 calculates the weight of the product not including the weight of the container 40.

  The product identification unit 1007 can identify the product by the above-described functional unit. Furthermore, the product detection unit 1008 of the product identification unit 1007 can detect one or a plurality of products placed in the container 40 detected by the container detection unit 1004. Therefore, the merchandise item identification unit 1007 can execute a process for identifying merchandise items for all the merchandise items contained in the container 40 detected by the container detection unit 1004.

  The price calculation unit 1012 calculates the price of the product placed on the weighing pan 12. The price calculation unit 1012 extracts the unit price of the product identified by the product identification unit 1007 from the product master M1. Then, the price calculation unit 1012 calculates the price of the product placed on the weighing pan 12 by multiplying the weight of the product calculated by the product weight calculation unit 1011 by the extracted unit price.

  Further, the price calculation method of the price calculation unit 1012 is not limited to the above. The container master M2 stores the commodity unit price when the commodity to be put into the container 40 is determined for each type of container 40. In this case, the price calculation unit 1012 serving as the second extraction unit extracts the product unit price of the container 40 identified by the container identification unit 1003 from the container master M2. Then, the price calculation unit 1012 that is the second calculation unit multiplies the product weight calculated by the product weight calculation unit 1011 by the extracted product unit price, and puts it in the container 40 placed on the weighing pan 12. The price of the given product is calculated.

  Alternatively, when there is an input for selecting a product from the first touch panel 14, the keyboard 15, the second touch panel 17 or the like, the price calculation unit 1012 extracts the unit price of the product selected from the product master M1. Then, the price calculation unit 1012 calculates the price of the product placed on the weighing pan 12 by multiplying the weight of the product calculated by the product weight calculation unit 1011 by the extracted unit price.

  The print control unit 1013 prints a label or a receipt on which the price of the product calculated by the price calculation unit 1012 is printed.

  Next, the weighing process executed by the control unit 100 of the weighing system 1 according to the above-described embodiment according to the weighing program PR will be described.

  FIG. 7 is a flowchart showing the flow of the weighing process executed by the control unit 100 of the weighing system 1 according to the weighing program PR. The weighing process is a process of weighing a product that does not include the weight of the container 40 and calculating a selling price.

  First, the weighing control unit 1001 of the weighing system 1 measures the weight of the container 40 placed on the weighing pan 12 and the product placed in the container 40 (step S11). Next, the imaging control unit 1002 of the weighing system 1 images the container 40 placed on the weighing pan 12 (step S12).

  Next, the container identification unit 1003 of the weighing system 1 executes a container identification process for identifying the container 40 placed on the weighing pan 12 (step S13). Next, the product identification unit 1007 of the weighing system 1 executes a product identification process for identifying the product placed in the container 40 placed on the weighing pan 12 (step S14).

  Next, the product weight calculation unit 1011 of the weighing system 1 calculates the weight of the product placed in the container 40 placed on the weighing pan 12 (step S15). At this time, the product weight calculation unit 1011 measures the weight of the product not including the weight of the container 40. Next, the price calculation unit 1012 of the weighing system 1 calculates the price of the product placed in the container 40 placed on the weighing pan 12 (step S16).

  Next, the print control unit 1013 of the weighing system 1 prints a label or the like on which the price of the product placed in the container 40 placed on the weighing pan 12 is printed (step S17).

  Thus, the control unit 100 of the weighing system 1 ends the weighing process.

  Next, the container identification process which the control part 100 of the measurement system 1 concerning embodiment mentioned above performs according to measurement program PR is demonstrated.

  FIG. 8 is a flowchart showing a flow of container identification processing executed by the control unit 100 of the weighing system 1 according to the weighing program PR. The container identification process is a process for identifying the container 40 placed on the weighing pan 12 of the weighing system 1.

  First, the container detection unit 1004 of the weighing system 1 detects the container 40 from the image captured by the imaging control unit 1002 (step S21).

  Next, the container similarity calculation unit 1005 of the weighing system 1 calculates the container feature amount of the container 40 detected by the container detection unit 1004 (step S22). Next, the container similarity calculation unit 1005 of the weighing system 1 calculates the container similarity between the calculated container feature amount and the container feature amount for each type of the container 40 included in the container master M2 (step S23).

  Next, the container determination unit 1006 of the weighing system 1 determines that the container 40 having the highest container similarity is the container 40 included in the image (step S24).

  Next, the container detection unit 1004 of the weighing system 1 determines whether or not container identification processing has been executed for all containers 40 included in the image (step S25). When the container identification process is not executed for all the containers 40 included in the image (step S25; No), the container detection unit 1004 of the weighing system 1 proceeds to step S21.

  On the other hand, when the container identification process is executed for all containers 40 included in the image (step S25; Yes), the container detection unit 1004 of the weighing system 1 ends the container identification process.

  Next, a product identification process executed by the control unit 100 of the weighing system 1 according to the above-described embodiment according to the weighing program PR will be described.

  FIG. 9 is a flowchart showing a flow of product identification processing executed by the control unit 100 of the weighing system 1 according to the weighing program PR. The product identification process is a process for identifying a product placed in the container 40 placed on the weighing pan 12 of the weighing system 1.

  First, the product detection unit 1008 of the weighing system 1 detects a product placed in the container 40 included in the image captured by the imaging control unit 1002 (step S31).

  Next, the product similarity calculation unit 1009 of the weighing system 1 calculates the feature amount of the product detected by the product detection unit 1008 (step S32). Next, the product similarity calculation unit 1009 of the weighing system 1 calculates the product similarity between the calculated product feature value and the product feature value for each product that the product master M1 has (step S33).

  Next, the product determination unit 1010 of the weighing system 1 determines that the product with the highest product similarity is the product placed in the container 40 included in the image (step S34).

  Next, the product determination unit 1010 of the weighing system 1 determines whether or not the product identification process has been executed for all the products placed in the container 40 included in the image (step S35). When the product identification process has not been executed for all the products placed in the container 40 (step S35; No), the product determination unit 1010 of the weighing system 1 proceeds to step S31.

  On the other hand, when the product identification process is executed for all the products placed in the container 40 (step S35; Yes), the product determination unit 1010 of the weighing system 1 detects all the containers 40 detected by the container detection unit 1004. It is determined whether or not the product identification process has been executed (step S36). When the product identification process is not executed for the products placed in all the containers 40 included in the image (step S36; No), the product determination unit 1010 of the weighing system 1 proceeds to step S31.

  On the other hand, when the product identification process is executed on the products contained in all the containers 40 included in the image (step S36; Yes), the product determination unit 1010 of the weighing system 1 ends the product identification process.

  As described above, according to the measuring system 1 of the present embodiment, the measuring unit 101 measures the weight of the container 40 placed on the weighing pan 12 and the product placed in the container 40. The imaging unit 31 supported by the support unit 32 images the container 40 weighed by the weighing unit 101. The container identifying unit 1003 identifies which type of container 40 stored in the container master M2 is the container 40 included in the image captured by the imaging unit 31. The product weight calculation unit 1011 extracts the weight of the type of the container 40 identified from the container master M2. Then, the product weight calculation unit 1011 subtracts the weight extracted from the weight measured by the weighing unit 101. The weighing system 1 of the present embodiment can distinguish and recognize a plurality of containers 40 by image recognition, and can easily weigh the weight of an article not including the weight of the containers 40 without performing the selection operation of the containers 40. .

  Although several embodiments of the present invention have been described, these embodiments are presented by way of example and are not intended to limit the scope of the invention. These novel embodiments can be implemented in various other forms, and various omissions, replacements, and changes can be made without departing from the scope of the invention. These embodiments and modifications thereof are included in the scope and gist of the invention, and are included in the invention described in the claims and the equivalents thereof.

  In the weighing system 1 according to the above-described embodiment, the electronic balance 10 identifies the container 40 and the product put in the container 40. However, the weighing system 1 may perform identification between a container and a product placed in the container in cooperation with a POS (Point Of Sales) terminal or the like which is a commodity sales data processing apparatus. In this case, for example, the electronic balance 10 and the camera 30 transmit the measurement value measured by the electronic balance 10 and the image captured by the camera 30 to the POS terminal. The POS terminal identifies the container and the product placed in the container from the image. And the POS terminal should just calculate the weight of the goods which do not include the weight of a container from the measured value which the electronic balance 10 measured, and the identified goods. Specifically, the POS terminal may include a container identifying unit 1003, a product identifying unit 1007, a product weight calculating unit 1011 and a price calculating unit 1012.

  The program executed by each device of the above-described embodiment or modification is provided by being incorporated in advance in a storage medium (ROM or storage unit) included in each device, but is not limited thereto. For example, an installable or executable file is recorded on a computer-readable recording medium such as a CD-ROM, a flexible disk (FD), a CD-R, or a DVD (Digital Versatile Disk). You may comprise. Furthermore, the storage medium is not limited to a medium independent of a computer or an embedded system, but also includes a storage medium in which a program transmitted via a LAN, the Internet, or the like is downloaded and stored or temporarily stored.

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

DESCRIPTION OF SYMBOLS 1 Weighing system 31 Imaging part 101 Weighing part 100 Control part 1001 Weighing control part 1002 Imaging control part 1003 Container identification part 1007 Merchandise identification part 1011 Merchandise weight calculation part 1012 Price calculation part 1013 Print control part M1 Merchandise master M2 Container master PR Measurement program

Japanese Patent No. 2595427

The weighing system according to the embodiment includes a weighing unit, an imaging unit, a first detection unit, a first calculation unit, a first identification unit, a first extraction unit, and a first calculation unit. Prepare. The weighing unit measures the weight of the container and the article placed in the container. The imaging unit images the container weighed by the weighing unit. The first detection unit detects the container from an image captured by the imaging unit. The first calculation means compares the container feature quantity of the container detected by the first detection means with a matching container feature quantity, and compares the container feature quantity with the matching container feature quantity. Calculate the degree. The first identification unit is configured such that, based on the similarity calculated by the first calculation unit, the container type included in the image captured by the imaging unit is any of the registered container types. Identify if applicable. The first extracting means extracts the weight of the container type identified by the identifying means from a first database that stores the weight of the container for each kind of container. The first calculation means calculates the weight of the article by subtracting the weight of the container type extracted by the first extraction means from the weight measured by the weighing unit.

Claims (6)

A weighing unit for weighing the container and an article placed in the container;
An imaging unit for imaging the container weighed by the weighing unit;
Identifying means for identifying which of the container types registered in advance is the type of the container included in the image captured by the imaging unit;
First extraction means for extracting the weight of the container type identified by the identification means from a first database storing the weight of the container for each container type;
First calculating means for calculating the weight of the article by subtracting the weight of the type of the container extracted by the first extracting means from the weight measured by the measuring section;
A weighing system comprising. A second database for extracting the price per unit quantity of the article placed in the container determined by the identification means from the second database storing the price per unit quantity of the article put in the container for each type of container; Extraction means;
Second calculation means for calculating the price of an article placed in the container from the weight of the product calculated by the first calculation means and the price per unit amount of the article extracted by the second extraction means; Further comprising
The weighing system according to claim 1. The identification means identifies the container from the shape of the container of the image captured by the imaging unit;
The weighing system according to claim 1 or 2. The identifying means identifies the container from all or part of the color of the container of the image captured by the imaging unit;
The weighing system according to any one of claims 1 to 3. An identification means for identifying which of the container types registered in advance is the type of the container included in the image captured by the imaging unit;
First extraction means for extracting the weight of the container type identified by the identification means from a first database storing the weight of the container for each container type;
First calculating means for calculating the weight of the article by subtracting the weight of the container type extracted by the first extracting means from the weight measured by the measuring section;
A product sales data processing apparatus comprising: A weighing unit for weighing the container and an article placed in the container;
A computer comprising an imaging unit that images the container weighed by the weighing unit;
Identifying means for identifying which of the container types registered in advance is the type of the container included in the image captured by the imaging unit;
First extraction means for extracting the weight of the container type identified by the identification means from a first database storing the weight of the container for each container type;
First calculating means for calculating the weight of the article by subtracting the weight of the type of the container extracted by the first extracting means from the weight measured by the measuring section;
Program to function as.

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