JP6681606B2 - Food analyzer - Google Patents

Description

  The present invention relates to a food analysis device.

  2. Description of the Related Art There is known a food analysis device that irradiates a food, which is an object to be measured, with near-infrared rays, and analyzes components contained in the food. Patent Document 1 discloses a calorie measuring device which is an example of a conventional food analyzing device. This calorie measuring device includes a light source unit for irradiating food with near-infrared light, a light receiving unit for receiving reflected light reflected by food, a weight measuring device for measuring the weight of food, and a control for calculating calories of food. Section. The control unit calculates the calorie of the food by using the light receiving result of the light receiving unit and the measurement result of the weight measuring device.

JP, 2008-122412, A

  When food is placed on the container, the weight measuring unit measures the total weight of the food and the container. However, since the control unit calculates the calorie of the food without distinguishing the weight of the food from the weight of the container, the calorie may not be calculated accurately.

  An object of the present invention is to provide a food analysis device that can accurately analyze the components of food.

  One mode of the food analysis device according to the present invention is an arrangement part in which a container can be arranged, irradiation light including near infrared light is irradiated to the container arranged in the arrangement part, and food placed on the container. It is obtained from a possible irradiation unit, a first detection unit that detects reflected light of the irradiation light, a storage unit that stores a database including characteristic information indicating characteristics of the container, and a detection result of the first detection unit. The characteristic information, and an estimation unit that estimates the weight of the food using the database, the detection result of the first detection unit and the weight of the food obtained by the estimation unit to determine the components of the food. And an analyzing unit for analyzing.

  The food analysis device can accurately analyze the components of food.

The block diagram of the foodstuff analysis device of 1st Embodiment. The block diagram of the food analysis device of 1st Embodiment in an arrangement state. FIG. 2 is a schematic diagram showing a configuration of a first detection unit in FIG. 1. The figure which shows the detection result of the 1st light receiving sensor of FIG. The figure which shows the brightness | luminance of the X line of FIG. The figure which shows the detection result of the 1st light receiving sensor of FIG. The figure which shows the brightness | luminance of the X line of FIG. The block diagram of FIG. The figure which shows an example of a database. The figure which shows the relationship between the wavelength and the brightness | luminance with respect to the container made from aluminum. The figure which shows the relationship between the wavelength and the brightness | luminance with respect to a wooden container. The figure which shows the relationship between the wavelength and the brightness | luminance with respect to the container made from earthenware. The block diagram of the foodstuff analysis device of 2nd Embodiment. The block diagram of the foodstuff analysis apparatus of 3rd Embodiment. The figure which shows the example in which an influence reduction means is a groove. The figure which shows the example in which an influence reduction means is a protrusion.

(One example of the form that the food analysis device can take)
[1] An aspect of the food analysis device according to the present invention is: an arrangement part in which a container can be arranged; the container in which irradiation light including near-infrared light is arranged in the arrangement part; and the container is placed on the container. An irradiation unit that can irradiate food, a first detection unit that detects reflected light of the irradiation light, a storage unit that stores a database that includes characteristic information indicating characteristics of the container, and a detection result of the first detection unit. The feature information obtained from the, and an estimation unit that estimates the weight of the food using the database, the detection result of the first detection unit and the food using the weight of the food obtained by the estimation unit And an analysis unit for analyzing the components of.

  The estimating unit can estimate the weight of the container by using the characteristic information obtained from the detection result of the first detecting unit and the database, and can estimate the weight of the food by using the estimated weight of the container. The analysis unit can analyze the components of the food by using the information regarding the distribution of the components of the food obtained from the detection result of the first detection unit and the weight of the food estimated by the estimation unit. Therefore, the components of the food can be accurately analyzed.

  [2] An aspect of the food analysis device according to the present invention is such that an arrangement part in which a container can be arranged, irradiation light including near-infrared light is arranged in the arrangement part, and the container is placed on the container. The irradiation part which can irradiate food, the 1st detection part which detects the reflected light of the said irradiation light, the 2nd detection part which detects the characteristic of the said container arrange | positioned at the said arrangement | positioning part, and the characteristic of the said container are shown. A storage unit that stores a database including characteristic information, the characteristic information obtained from the detection result of the second detection unit, and an estimation unit that estimates the weight of the food using the database, and the first detection unit And an analysis unit that analyzes the components of the food using the weight of the food obtained by the estimation unit.

  The estimating unit can estimate the weight of the container by using the characteristic information obtained from the detection result of the first detecting unit and the database, and can estimate the weight of the food by using the estimated weight of the container. The analysis unit can analyze the components of the food by using the information about the distribution of the components of the food obtained from the detection result of the second detection unit and the weight of the food estimated by the estimation unit. Therefore, the components of the food can be accurately analyzed.

[3] According to an example of the food analysis device, the second detection unit includes a light receiving element arranged in the arrangement unit, and detects a characteristic of the container.
According to the food analysis device, since the distance between the second detection unit and the container is short, the characteristics of the container can be accurately detected.

[4] According to an example of the food analysis device, the second detection unit detects a characteristic of the container from a tag provided on the container.
According to the food analysis device, the characteristic of the container is accurately detected by storing the characteristic of the container in the tag.

[5] According to an example of the food analysis device, the second detection unit detects the tag by an optical method or an electromagnetic method.
According to the food analysis device, the tag configuration can be selected from various configurations.

  [6] According to an example of the food analysis device, the characteristic information includes at least one of the absorbance of the container, the brightness of the container, the shape of the container, the material of the container, and the size of the container. Including.

  According to the food analysis device, the estimation unit can more accurately detect the characteristics of the container by using the characteristic information, and accordingly can more accurately estimate the weight of the food.

[7] According to an example of the food analysis device, a weight scale for measuring the weight of the container and the weight of the food is further provided, and the database associates the characteristic information with the weight of the container.
According to the food analysis device, the weight of the food placed on the container can be measured by the weight scale. Therefore, the labor of the user is reduced as compared with the case where the weight is measured separately.

(First embodiment)
The configuration of the food analysis device 1 will be described with reference to FIG. The food analysis device 1 includes a measurement unit 10 and an analysis unit 60. The measurement unit 10 and the analysis unit 60 are electrically connected via the connection cable 2.

  The measurement unit 10 measures information about the food 200. The measurement unit 10 includes a housing 11, an arrangement unit 12, an irradiation unit 13, a weight scale 16, and a first detection unit 20. The arrangement unit 12, the irradiation unit 13, and the first detection unit 20 are provided inside the housing 11. When the door (not shown) of the housing 11 is closed, the arrangement unit 12, the irradiation unit 13, and the first detection unit 20 are shielded from light.

The irradiation unit 13 includes a light source 14 and a lens 15. The irradiation unit 13 generates irradiation light 300. The irradiation light 300 is light that is emitted from the light source 14 and passes through the lens 15.
The light source 14 is, for example, a halogen lamp or a semiconductor laser. The light source 14 can emit near-infrared light of 700 nm to 2500 nm, for example.

  The lens 15 is arranged between the light source 14 and the arrangement unit 12. The lens 15 has a function of adjusting the direction and wavelength of the irradiation light 300. In the first example, the lens 15 is a convex lens and converts the light emitted by the light source 14 into parallel light. In the second example, the light emitted by the light source 14 is diffused or condensed by a concave lens or a convex lens having a different power. In the third example, the lens 15 has a filter function that does not pass light in the wavelength range not used for analysis.

  The arrangement part 12 can arrange various types of containers 100. The illustrated example is a reference state in which the container 100 is not arranged in the arrangement unit 12. The container 100 is arranged such that the center 100A of the container 100 and the center 12A of the arrangement portion 12 are displaced from each other.

  When the irradiation unit 13 irradiates the arrangement unit 12 with the irradiation light 300, part of the irradiation light 300 is absorbed, and the arrangement unit 12 generates reflected light 310 of the irradiation light 300. Depending on the material of the arrangement portion 12, the absorbance of the reflected light 310 in the predetermined wavelength range becomes large. In order to improve the analysis accuracy of the food 200, the material of the arrangement portion 12 is preferably melamine resin, Teflon (registered trademark), or the like, which has a small change in the absorbance in each wavelength range of the reflected light 310.

  FIG. 2 is a diagram showing an arrangement state in which the container 100 is arranged in the arrangement unit 12. The container 100 is a member that can support the food 200, such as tableware and cooking-related equipment. The member capable of supporting the food 200 is, for example, a bowl, a colander, a pot, a sack, a spoon, an aluminum foil, a bag, a box, a beaker, a petri dish or the like. Further, the material of the container 100 is, for example, ceramic, metal, resin, wood, or the like. In the illustrated example, the container 100 is made of aluminum.

  The user can arrange the container 100 at an arbitrary position of the arrangement unit 12. In the illustrated example, the container 100 is arranged such that the center 100A of the container 100 and the center 12A of the arrangement portion 12 are displaced from each other.

  The weighing scale 16 is located below the placement unit 12, for example. The weighing scale 16 measures the weight of the container 100 placed in the placement unit 12 or the total weight of the food 200 and the container 100. In the case of the configuration including the weight scale 16, it is not necessary to separately measure the total weight of the food 200 and the container 100, and thus the labor of the user is reduced.

  Food product 200 includes one or more ingredients. Examples of components are proteins, carbohydrates or lipids. In the illustrated example, the food product 200 comprises one ingredient 210. Component 210 is a protein. The shape of the component 210 is a rectangular parallelepiped.

  The irradiation unit 13 and the first detection unit 20 are located above the food 200. The irradiation unit 13 irradiates the food 200 below with the irradiation light 300. The first detection unit 20 detects the reflected light 310 from below. The positions of the irradiation unit 13 and the first detection unit 20 can be arbitrarily changed, and the positions may be interchanged. In the illustrated example, the irradiation unit 13 is located directly above the food 200, and the first detection unit 20 is located diagonally above the food 200.

  As shown in FIG. 3, the first detection unit 20 includes a light collecting unit 30, a spectroscopic unit 40, and a light receiving sensor 50. The light collecting unit 30 collects the reflected light 310. The condenser 30 includes a condenser lens 31 and a reflector 32. The condenser lens 31 is a convex lens and condenses the reflected light 310. The reflector 32 is a mirror and guides the reflected light 310 condensed by the condenser lens 31 to the spectroscope 40.

  The spectroscopic unit 40 disperses the light having a wavelength related to the components of the food 200 from the reflected light 310 condensed by the condensing unit 30. The spectroscopic unit 40 sets the spectroscopic number according to the number of components of food. The illustrated example is a configuration of the spectroscopic unit 40 that disperses three components. The spectroscopic unit 40 includes a first spectroscopic unit 41, a second spectroscopic unit 42, and a third spectroscopic unit 43. Each of the spectroscopic units 41 to 43 is a spectroscope of a diffraction grating that reflects only light of a specific wavelength and transmits light of other wavelengths. Each of the spectroscopic units 41 to 43 reflects only light of a specific wavelength different from each other. These specific wavelengths are determined by, for example, experiments on a plurality of samples of foods whose ingredients are known. As described above, each component of food is classified by the spectroscopic unit 40.

  The first spectroscopic unit 41 selectively reflects light having a wavelength of about 910 nm, which is correlated with proteins in the components of the food 200. The second spectroscopic unit 42 selectively reflects light having a wavelength of about 980 nm that correlates with carbohydrate among the components of the food 200. The third spectroscopic unit 43 selectively reflects light having a wavelength of about 930 nm that is correlated with lipids among the components of the food 200.

  The light receiving sensor 50 receives the light dispersed by the spectroscopic unit 40. The light receiving sensor 50 is, for example, a CCD image sensor. The light receiving sensor 50 includes a first light receiving sensor 51, a second light receiving sensor 52, and a third light receiving sensor 53. The first light receiving sensor 51 receives the light reflected by the first spectroscopic unit 41. The second light receiving sensor 52 receives the light reflected by the second spectroscopic unit 42. The third light receiving sensor 53 receives the light reflected by the third spectroscopic unit 43.

  A plurality of light receiving elements 54 are arranged in a grid pattern on the light receiving surface of each of the light receiving sensors 51 to 53. As an example of the material of the light receiving element 54, silicon, indium, gallium, arsenic, or the like, which has a wide sensitivity in the near infrared region, is used. Each light receiving element 54 detects the amount of received light.

  FIG. 4 shows the detection result of the first light receiving sensor 51 in FIG. Each mass corresponds to each light receiving element 54. In addition, the darkness of the color of the cell indicates the high brightness. FIG. 5 is a diagram showing the relationship between the light receiving element 54 located in the X row of FIG. 4 and the brightness. Row X is an analysis target of the analysis unit 60. The analysis target is any one or more rows and any range. In the illustrated example, the row includes the vicinity of the center of the container 100.

  Since the container 100 is made of aluminum, it is easy to reflect the irradiation light 300. Therefore, the brightness detected by the light receiving element 54 corresponding to the container 100 is higher than the brightness detected by the light receiving element 54 corresponding to the arrangement portion 12.

  FIG. 6 shows a detection result of the first light receiving sensor 51 in FIG. FIG. 7 is a diagram showing the relationship between the light receiving elements 54 located in the X row of FIG. 6 and the brightness. Since the first light receiving sensor 51 detects the reflected light 310 belonging to the wavelength range correlated with the protein, the brightness detected by the light receiving element 54 corresponding to the component 210 is higher than the brightness detected by the light receiving element 54 corresponding to the arrangement part 12. Is also high. Further, since the container 100 is made of aluminum, it is easy to reflect the irradiation light 300. Therefore, the brightness detected by the light receiving element 54 corresponding to the container 100 is higher than the brightness detected by the light receiving element 54 corresponding to the component 210.

  The configuration of the analysis unit 60 will be described with reference to FIG. The analysis unit 60 includes an estimation unit 61, an analysis unit 62, a storage unit 63, and a display unit 64. The storage unit 63 is, for example, a flash memory, stores information necessary for analysis by the analysis unit 60, and stores analysis results and the like.

  The estimation unit 61 is, for example, a microcomputer, and is connected to the first detection unit 20 and the weighing scale 16 via the connection cable 2. The estimation unit 61 estimates the weight of the container 100 based on the characteristic information of the container 100 obtained from the detection result of the first detection unit 20, the measurement result of the weight scale 16, and the database.

  The characteristic information indicates the characteristic of the container 100 and includes at least one of the brightness, the absorbance, the shape, the material, and the size of the container 100. Therefore, the characteristics of the container 100 are more accurately detected, and the weight of the food 200 is also more accurately estimated accordingly. The brightness of the container 100 is the brightness of the reflected light 310 when the irradiation light 300 having a predetermined light intensity is applied. When the number of light receiving elements 54 is large, the amount of information and the amount of calculation for processing it are large. Therefore, the brightness of the container 100 is information such as the maximum value of the brightness, the continuous distance of the light receiving element 54 where the brightness exceeds a predetermined threshold, the histogram of the brightness, the number of inflection points of the differential of the brightness and the second derivative. It may be.

  The absorbance of the container 100 can be calculated from the brightness of the container 100 in the reference state and the container 100 in the arranged state. The shape of the container 100 can be calculated from the brightness of the container 100 and the brightness of the arrangement portion 12. The size of the container 100 can be calculated from the shape of the container 100. The material of the container 100 can be calculated from the absorbance of the container 100. Information for calculating the characteristic information of the container 100 is stored in the storage unit 63 in advance.

  Further, the estimation unit 61 may further include means for improving the accuracy of estimating the weight of the container 100. In the first example, the estimation unit 61 can perform the supervised learning in advance and store the learning result in the storage unit 63 to improve the estimation accuracy of the weight of the container 100. In the second example, the estimation unit 61 estimates by combining two or more feature information items among the brightness, the absorbance, the shape, the material, and the size of the container 100.

  The analysis unit 62 is, for example, a microcomputer, and is connected to the first detection unit 20 via the connection cable 2. The analysis unit 62 analyzes the component 210 of the food 200 based on the reflected light 310. One example of analysis is calories. When analyzing calories, the calorie per unit weight of the component 210 is multiplied by the weight of the component 210, for example.

  The display unit 64 is, for example, a liquid crystal screen. The display unit 64 displays the analysis result analyzed by the analysis unit 62, the past analysis result stored in the storage unit 63, and the like. The display unit 64 has a function as a touch panel that is a device capable of input operation. The display unit 64 allows the user to input information necessary for analysis. The information necessary for the analysis is, for example, the weight of the container 100, the total weight of the food 200 and the container 100, and the like.

  The storage unit 63 stores a database including characteristic information of the container 100. Preferably, the database associates the characteristic information of the container 100 with the weight of the container 100. FIG. 9 is an example of a database. The database includes at least one characteristic information about one type of container 100. In the illustrated example, the database includes three pieces of characteristic information for one type of container 100. The three pieces of characteristic information are material, shape, and size. When the number of feature information for one type of container 100 is one, the estimation unit 61 detects the feature information. When the number of pieces of characteristic information for one type of container 100 is plural, the estimation unit 61 detects at least one of the pieces of characteristic information.

  The characteristic information of the container 100 is predetermined. In the first example, the characteristic information of the container 100 is measured by the first detection unit 20 in advance. In the second example, the characteristic information of the container 100 is designated in advance by the user inputting it on the display unit 64.

  The shape of the container 100 is the height, major axis, minor axis, side length, number of vertices, contour length, characteristic shape of the container 100, the shape of the container 100 in plan view, for example, a circle. , Rectangular, etc.

  The size of the container 100 is the volume of the container 100, the area of the shape of the container 100 in plan view, the width, the height of the container 100, and the like. The size of the container 100 may be the number of the light receiving elements 54 whose brightness is equal to or higher than a predetermined value.

  The material of the container 100 is classified into major classification, minor classification, specific gravity, and the like. Examples of major categories are wood, resin, metal, etc. Examples of subclasses are aluminum, copper, ABS resin, melamine resin, and the like.

  The weight of the container 100 is predetermined. In the first example, the weight of the container 100 is measured by the weight scale 16 in advance. In the second example, the weight of the container 100 is designated in advance by the user inputting it on the display unit 64. In the third example, the weight of the container 100 is calculated from the product of the specific gravity and the size of the container 100.

  As described above, the characteristic information of the container 100 includes at least one of the shape of the container 100, the material of the container 100, and the size of the container 100. Therefore, the estimation unit 61 can estimate the type of the container 100 and the weight of the container 100. In addition, when a part of the container 100 has a characteristic shape, the estimation unit 61 can omit the processing for the other parts, and thus can easily estimate the type of the container 100.

  10 to 12 are diagrams showing the relationship between the wavelength of the irradiation light 300 and the brightness detected by the first detection unit 20 when the irradiation light 300 having a predetermined light intensity is irradiated for each material of the container 100. . FIG. 10 shows the case where the container 100 is made of wood. FIG. 11 shows the case where the container 100 is made of aluminum. FIG. 12 shows the case where the container 100 is made of pottery. When the container 100 is made of earthenware, the brightness does not change significantly depending on the wavelength, and the brightness detected by the first detection unit 20 is low. When the container 100 is made of aluminum, the brightness does not change significantly depending on the wavelength, and the brightness detected by the first detection unit 20 is high. When the container 100 is made of wood, the brightness changes greatly depending on the wavelength. The database stores the relationship between these wavelengths and brightness. Therefore, the estimation unit 61 can estimate the type of the container 100 and the weight of the container 100.

  As shown in FIG. 8, the analysis unit 62 is connected to the first detection unit 20, and the detection result (see FIG. 4) of the first detection unit 20 in the reference state and the first detection unit in the arranged state. 20 detection results (see FIG. 6) are received.

  The brightness of the container 100 shown in FIG. 4 is high, and it also affects the brightness of the food 200 shown in FIG. Therefore, the analysis unit 62 includes means for reducing the influence of the position of the container 100. The influence reducing means is, for example, correction of the brightness of the food 200. In correcting the brightness of the food 200, the position of the container 100 as the detection result of the first detection unit 20 in the reference state and the position of the container 100 as the detection result of the first detection unit 20 in the arranged state are different, so Map the positions.

  The analysis unit 62 calculates the position of the center 100A (see FIG. 1) of the container 100, which is the detection result of the first detection unit 20 in the reference state, with respect to the center 12A of the placement unit 12 (see FIG. 1), and stores it in the storage unit 63. Remember. The analysis unit 62 calculates the position of the center 100A (see FIG. 2) of the container 100, which is the detection result of the first detection unit 20 in the arranged state, with respect to the center 12A of the placement unit 12 (see FIG. 2), and stores it in the storage unit 63. Remember. The analysis unit 62 estimates the brightness of the container 100 in the arranged state from the stored difference between the two positions. For the estimation method, for example, the coordinates of each light receiving element 54, which is the detection result of the first detection unit 20 in the reference state, and the brightness values thereof are moved by the difference between both stored positions to create data. . With this data, the detection result of the first detection unit 20 in the arranged state is corrected, and the brightness of the container 100 is estimated. In this way, the analysis unit 62 corrects the brightness of the food 200 based on the positions of the center 100A of the container 100 in the standard state and the center 100A of the container 100 in the standard state with the placement unit 12 as the reference. Therefore, the influence of the positional shift of the container 100 can be suppressed.

  The estimation unit 61 is electrically connected to the analysis unit 62 and transmits the estimation result to the analysis unit 62. The analysis unit 62 subtracts the weight of the container 100 estimated by the estimation unit 61 from the weight of the food 200 placed in the container 100 measured by the weighing scale 16 to calculate the weight of the food 200. In this way, the food analysis device 1 can estimate the weight of the container 100 based on the characteristics of the container 100. Therefore, the weight of the food 200 excluding the weight of the container 100 can be accurately obtained, and the components of the food 200 can be analyzed more accurately.

(Second embodiment)
The second embodiment is different from the first embodiment in that the food analysis device 1 further includes a second detection unit 21, and the second detection unit 21 includes a light receiving element 22 arranged in the arrangement unit 12. In other respects, the food analysis device 1 according to the second embodiment has substantially the same configuration as the food analysis device 1 according to the first embodiment.

  As shown in FIG. 13, the second detection unit 21 includes a light receiving element 22 that receives the irradiation light 300, and a light receiving element control unit 23 that controls the light receiving element 22. In the illustrated example, the plurality of light receiving elements 22 are regularly arranged in the arrangement unit 12. When the irradiation unit 13 irradiates the irradiation light 300 with the container 100 arranged in the arrangement unit 12, a shadow of the container 100 generated by the irradiation light 300 is generated. The shadow of the container 100 includes the characteristics of the container 100 such as the shape, brightness, and absorbance of the container 100. Since the light receiving element 22 arranged in the arrangement unit 12 is close to the container 100, the second detection unit 21 detects the characteristics of the container 100 more accurately.

  When the second detection unit 21 includes one light receiving element 22, the container 100 is arranged so as to cover the light receiving element 22, and the brightness of the light receiving element 22 in the reference state is compared to determine the characteristics of the container 100. Can be detected.

  The estimation unit 61 is connected to the light receiving element control unit 23. The estimation unit 61 estimates the weight of the food 200 using the characteristic information of the container 100 obtained from the detection result of the second detection unit 21, the measurement result of the weighing scale 16, and the database stored in the storage unit 63.

(Third Embodiment)
The third embodiment differs from the second embodiment in that the second detection unit 21 detects the tag 110 provided on the container 100. In other respects, the food analysis device 1 of the third embodiment has substantially the same configuration as the food analysis device 1 of the second embodiment.

  As shown in FIG. 14, the container 100 is provided with a tag 110. The tag 110 is an optical mark such as a barcode. The tag 110 may be printed on the container 100. Characteristic information of the container 100 is stored in the tag 110. The characteristic information of the container 100 includes at least one of the type of the container 100, the shape of the container 100, the material of the container 100, the absorbance of the container 100, and the size of the container 100. The second detection unit 21 detects the tag 110 by an optical method. Therefore, the estimation unit 61 can accurately detect the characteristics of the container 100 and can estimate the weight of the container 100. The analysis unit 62 may use at least one of the shape of the container 100, the material of the container 100, the absorbance of the container 100, and the size of the container 100 for analysis of the food 200.

(Modification)
The above description regarding each embodiment is an example of a form that the food analysis device according to the present invention can take, and is not intended to limit the form. The food analysis device according to the present invention may take a form other than the embodiment, for example, a modified example of the above-described respective embodiments described below and a combination of at least two modified examples that do not contradict each other.

  -The 2nd primary detecting element 21 may detect tag 110 by an electromagnetic method. The tag 110 in this case is an electronic tag. When the tag 110 is detected by the electromagnetic method, the second detection unit 21 does not have to visually recognize the tag 110, and thus the degree of freedom of the mounting location of the tag 110 is improved.

The light receiving element control unit 23 may be configured integrally with the estimation unit 61.
The estimation unit 61 may be integrated with the analysis unit 62.
The storage unit 63 may be integrated with at least one of the estimation unit 61 and the analysis unit 62.

  The second detection unit 21 can detect the characteristic information of the plurality of containers 100 arranged in the arrangement unit 12. The 2nd detection part 21 can presume the material of each container 100, for example by the light absorbency of a predetermined wavelength range, and can detect characteristic information on a plurality of containers 100.

The characteristic information may further include the usage of the container 100. For example, if it is known that the container is for cooked rice, soup, etc., the food can be analyzed with higher accuracy.
The characteristic information may further include user information. When there are a plurality of users of the food analysis device 1, the user can be specified using the type of the container 100 to perform health management according to the user.

  The means for reducing the influence of the position of the container 100 can be arbitrarily changed. In the first example, the influence reducing means is the guide 70 that can position the container 100 at a predetermined position. As shown in FIG. 15, the guide 70 is a groove 71 provided in the arrangement portion 12 so as to engage with the bottom surface of the container 100. Further, as shown in FIG. 16, the guide 70 is a protrusion 72 provided on the arrangement portion 12. The user can position the container 100 at a predetermined position by arranging the container 100 so as to contact the protrusion 72.

  In the second example, the influence reducing means is the brightness data of the containers 100 arranged at different positions in the reference state. The user measures the brightness by shifting the arrangement of the container 100 little by little in advance, and stores the data in the storage unit 63. The analysis unit 62 reads the data closest to the position of the container 100 in the arranged state from the storage unit 63.

  In the third example, the influence reducing means is movement of at least one of the arrangement unit 12, the irradiation unit 13, and the first detection unit 20. The arranging unit 12 is configured to be movable in the horizontal direction, and the arranging unit 12 moves according to the difference between the position of the container 100 in the reference state and the position of the container 100 in the arranged state. Alternatively, the first detection unit 20 is configured to be movable in the horizontal direction, and the first detection unit 20 moves according to the difference between the position of the container 100 in the reference state and the position of the container 100 in the arrangement state. Alternatively, the irradiation unit 13 is configured to be movable in the horizontal direction, and the irradiation unit 13 moves according to the difference between the position of the container 100 in the reference state and the position of the container 100 in the arrangement state.

  The food analysis device according to the present invention can accurately analyze the components of foods and can be used for calorie calculation, health management of users, and the like.

1: Food analysis device 12: Arrangement part 13: Irradiation part 16: Weighing scale 20: First detection part 21: Second detection part 22: Light receiving element 54: Light receiving element 61: Estimating part 62: Analysis part 63: Storage part 100 : Container 110: Tag 200: Food 210: First component 300: Irradiation light 310: Reflected light

Claims (6)

An arrangement part in which a container can be arranged,
Irradiation light including near-infrared light, the container arranged in the arrangement unit, and an irradiation unit capable of irradiating food placed on the container,
A first detection unit for detecting reflected light of the irradiation light;
A storage unit that stores a database including characteristic information including at least one of the absorbance of the container, the brightness of the container, the shape of the container, the material of the container, and the size of the container ;
The characteristic information obtained from the detection result of the first detection unit, and an estimation unit that estimates the weight of the food using the database,
A food analysis device, comprising: an analysis unit that analyzes the components of the food using the detection result of the first detection unit and the weight of the food obtained by the estimation unit. An arrangement part in which a container can be arranged,
Irradiation light including near-infrared light, the container arranged in the arrangement unit, and an irradiation unit capable of irradiating food placed on the container,
A first detection unit for detecting reflected light of the irradiation light;
A second detection unit that detects a characteristic of the container placed in the placement unit;
A storage unit that stores a database including characteristic information including at least one of the absorbance of the container, the brightness of the container, the shape of the container, the material of the container, and the size of the container ;
The characteristic information obtained from the detection result of the second detection unit, and an estimation unit that estimates the weight of the food using the database,
A food analysis device, comprising: an analysis unit that analyzes the components of the food using the detection result of the first detection unit and the weight of the food obtained by the estimation unit. The food analysis device according to claim 2, wherein the second detection unit includes a light receiving element arranged in the arrangement unit, and detects a characteristic of the container. The food analysis device according to claim 2, wherein the second detection unit detects a characteristic of the container from a tag provided on the container. The food analysis device according to claim 4, wherein the second detection unit detects the tag by an optical method or an electromagnetic method. Further comprising a weighing scale for measuring the weight of the container and the weight of the food,
The database associates the characteristic information with the weight of the container.
The food analysis device according to claim 1 .

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