JP2008193570A - Photographing system - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a photographing system that facilitates recording of food and drink while reducing costs. <P>SOLUTION: The photographing system has a lighting means for lighting a table on which dishes with cooked food are prepared, an image pickup means installed in the lighting means so as to be capable of photographing the table, a specification means for specifying a name of each cooked food on the basis of a cooked-food image showing the cooked food photographed by the image pickup means, and a cooked-food information recording means for recording cooked-food information including the name of each cooked food specified by the specification means. <P>COPYRIGHT: (C)2008,JPO&INPIT

Description

  The present invention relates to a photographing system, and more particularly to a photographing system that photographs food and drink prepared on a dining table.

  It is necessary to record foods and drinks not only for daily health management but also for the treatment of obesity, diabetes, hypertension, hyperlipidemia, anorexia and bulimia.

In relation to such food and drink records, Patent Document 1 discloses a meal recording camera and a meal evaluation system using the same. Patent Document 2 discloses a meal measurement device and an analysis system.
Japanese Patent Laid-Open No. 7-234439 JP 2001-258890 A

  However, in the technique disclosed in Patent Document 1, the photographer must take a picture for each meal, and there is a possibility of forgetting or neglecting to take a picture. In that case, food and drink are not recorded. There is a problem. Moreover, since the technique disclosed in Patent Document 2 requires a strobe, there is a problem that the corresponding cost is required.

  As described above, the conventional techniques have a problem that food and drink are not recorded and a problem that a cost is required for the strobe.

  The present invention has been made in view of the above problems, and an object of the present invention is to provide an imaging system that can easily record foods and drinks and can reduce costs.

  In order to solve the above-mentioned problems, the invention of claim 1 is directed to illumination means for illuminating a table on which food and drink are prepared, imaging means installed on the illumination means in a state where the table can be photographed, and the imaging Food and drink information for recording food and drink information including the name of the food and drink specified by the specifying means based on the food and drink image showing the food and drink taken by the means Recording means.

  In the invention of claim 1, the lighting means illuminates a table on which food and drink are prepared, the imaging means is installed in the lighting means in a state where the table can be photographed, and the identification means is taken by the imaging means. Since the food and drink information recording means records the food and drink information including the name of the food and drink specified by the specifying means based on the food and drink image showing the food, the food and drink information recording means easily records the food and drink. Can be recorded, and a photographing system capable of reducing the cost can be provided.

  The invention of claim 2 further includes time detection means for detecting arrival of a predetermined time, and the imaging means photographs the dining table when arrival of time is detected by the detection means.

  According to the second aspect of the present invention, it is not necessary to prepare a camera for each meal, and since a picture is automatically taken when a predetermined time arrives, food and drink can be recorded easily.

  The invention of claim 3 further comprises tableware detection means for detecting the presence of tableware on the table, and seating detection means for detecting that a person has been seated when a person eats on the table. And the imaging means detects that the tableware is present on the table by the tableware detecting means, and detects that the person has taken a seat when the person eats at the table by the seating detection means. Then, take a picture of the table.

  According to the invention of claim 3, since it is not necessary to prepare a camera for each meal, and food and drinks are prepared and automatically taken when sitting on a chair, food and drinks can be easily recorded. .

  The invention according to claim 4 is a food / drink in which food / drink type information indicating a ratio of the food / beverage area for each type of color included in the food / drink indicated by the food / drink image and a food / drink name is recorded in advance. It further includes a type information recording unit, and the specifying unit determines, for each type of color included in the food and drink, the area of the food and drink shown in the food and beverage image from the food and drink image captured by the imaging unit. By detecting the proportion of the area, and by referring to the food type information recorded in the food type information recording means, the highest degree of similarity is equal to or higher than a predetermined level and the name of the food or drink is the highest. Identify.

  According to invention of Claim 4, the name of food and drink can be specified by the process which does not take the process load comparatively.

  The invention of claim 5 further includes illumination control means for controlling the illumination brightness of the illumination means during photographing by the imaging means so as to be a predetermined brightness.

  According to the invention of claim 5, by setting the brightness at the time of photographing to a predetermined brightness, it is possible to obtain an image capable of accurately specifying food and drink.

  According to the present invention, it is possible to provide an imaging system that can easily record food and drink and can reduce costs.

  Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings. In this embodiment, food is described as food and drink. However, food and drink includes all food and drink such as beverages such as beer and juice, fruits such as bananas, vegetables such as tomatoes, and sweets such as cakes. It is.

  First, the imaging system according to the present embodiment will be described with reference to FIG. As shown in the figure, the imaging system includes a digital camera 10, a lighting fixture 60, a personal computer 62, and a pressure sensor 68. Moreover, the table 64 and the dish 66 are shown by the same figure.

  The digital camera 10 and the lighting fixture 60 are connected to a personal computer 62, and the pressure sensor 68 is also connected to the personal computer 62, and each can exchange information. The connection may be, for example, a wired connection using a USB (Universal Serial Bus), a LAN cable, or a wireless connection using IEEE 802b / g.

  The lighting device 60 is a general lighting device that illuminates a table on which food is prepared. Therefore, the photographing system according to the present embodiment does not require camera-specific illumination such as a strobe, and thus can reduce costs. Further, the lighting brightness of the lighting fixture 60 may be controlled by the personal computer 62. The digital camera 10 is installed in the lighting fixture 60 in a state where the dining table 64 can be photographed. For example, in the case of a ring-shaped fluorescent lamp, the installation location of the digital camera 10 may be arranged so as not to make a shadow on the subject.

  Further, the digital camera 10 transmits image data indicating the captured image to the personal computer 62. The personal computer 62 records a dish type DB (database), which will be described later, and executes processing such as identification of a dish name and dish recording. Details of this processing will be described later using a flowchart. The personal computer 62 is provided with a display unit such as a display (not shown). The pressure sensor 68 is provided on the chair as shown in the figure, detects that a person has been seated, and notifies the personal computer 62 to that effect.

  Next, with reference to FIG. 2, the configuration of the main part of the electrical system of the digital camera 10 according to the present embodiment will be described.

  The digital camera 10 includes an optical unit 22 that includes a lens, a charge coupled device (hereinafter referred to as “CCD”) 24 that is an imaging device disposed behind the optical axis of the lens, and an input analog. And an analog signal processing unit 26 that performs various analog signal processing on the signal. A CMOS image sensor or the like may be used as the image sensor.

  In addition, the digital camera 10 includes an analog / digital (AD) converter (hereinafter referred to as “ADC”) 28 that converts an input analog signal into digital data, and various digital signals for the input digital data. And a digital signal processing unit 30 that performs processing.

  The digital signal processing unit 30 has a built-in line buffer having a predetermined capacity, and also performs control to directly store the input digital data in a predetermined area of the memory 48 described later.

  The output terminal of the CCD 24 is connected to the input terminal of the analog signal processing unit 26, the output terminal of the analog signal processing unit 26 is connected to the input terminal of the ADC 28, and the output terminal of the ADC 28 is connected to the input terminal of the digital signal processing unit 30. . Therefore, the analog signal indicating the subject image output from the CCD 24 is subjected to predetermined analog signal processing by the analog signal processing unit 26 and converted into digital image data (hereinafter, simply referred to as image data) by the ADC 28. This is input to the digital signal processor 30 later.

  On the other hand, the digital camera 10 is obtained by photographing with a network I / F (interface) 36 for exchanging information such as image data with the personal computer 62, a CPU (central processing unit) 40 that controls the operation of the entire digital camera 10. A memory 48 for storing the digital image data and the like, and a memory interface 46 for controlling access to the memory 48.

  Furthermore, the digital camera 10 includes a compression / decompression processing circuit 54 that performs compression processing and decompression processing on digital image data.

  In the digital camera 10 of the present embodiment, a VRAM (Video RAM) is used as the memory 48.

  The digital signal processing unit 30, the CPU 40, the memory interface 46, and the compression / decompression processing circuit 54 are connected to each other via a system bus BUS. Therefore, the CPU 40 can respectively control the operation of the digital signal processing unit 30 and the compression / decompression processing circuit 54 and access the memory 48 via the memory interface 46.

  On the other hand, the digital camera 10 includes a timing generator 32 that mainly generates a timing signal for driving the CCD 24 and supplies the timing signal to the CCD 24, and the driving of the CCD 24 is controlled by the CPU 40 via the timing generator 32.

  Further, the digital camera 10 is provided with a motor drive unit 34, and driving of a focus adjustment motor, a zoom motor, and an aperture drive motor (not shown) provided in the optical unit 22 is also controlled by the CPU 40 via the motor drive unit 34. The

  In other words, the lens 21 according to the present embodiment has a plurality of lenses, is configured as a zoom lens that can change (magnify) the focal length, and includes a lens driving mechanism (not shown). The lens drive mechanism includes the focus adjustment motor, the zoom motor, and the aperture drive motor, and these motors are each driven by a drive signal supplied from the motor drive unit 34 under the control of the CPU 40.

  Next, an overall operation at the time of shooting of the digital camera 10 according to the present embodiment will be briefly described.

  First, the CCD 24 performs imaging through the optical unit 22 and sequentially outputs analog signals for R (red), G (green), and B (blue) indicating the subject image to the analog signal processing unit 26. The analog signal processing unit 26 performs analog signal processing such as correlated double sampling processing on the analog signal input from the CCD 24 and sequentially outputs the analog signal to the ADC 28.

  The ADC 28 converts the R, G, and B analog signals input from the analog signal processing unit 26 into 12-bit R, G, and B signals (digital image data) and sequentially outputs them to the digital signal processing unit 30. To do. The digital signal processing unit 30 accumulates digital image data sequentially input from the ADC 28 in a built-in line buffer and temporarily stores the digital image data directly in a predetermined area of the memory 48.

  Digital image data stored in a predetermined area of the memory 48 is read out by the digital signal processing unit 30 under the control of the CPU 40, and a white balance is adjusted by applying a digital gain according to a predetermined physical quantity. Processing and sharpness processing are performed to generate digital image data of predetermined bits, for example, 8 bits.

  The digital signal processing unit 30 performs YC signal processing on the generated digital image data of predetermined bits to generate a luminance signal Y and chroma signals Cr and Cb (hereinafter referred to as “YC signal”), and stores the YC signal in a memory. The data is stored in an area different from the above-mentioned predetermined area. The brightness signal Y generated here is used to measure the brightness of the subject.

  The digital camera 10 is configured to be able to transmit a moving image (through image) obtained by continuous imaging by the CCD 24 to the personal computer 62. YC signals are sequentially transmitted via the network I / F 36. As a result, a through image can be displayed on the display unit of the personal computer 62.

  Here, when a shooting instruction is issued from the personal computer 62, after the AE function is activated and the exposure state is set, the AF function is activated and the focus control is performed. Thereafter, the YC signal stored in the memory 48 at this time is displayed. Then, after being compressed in a predetermined compression format (for example, JPEG format) by the compression / decompression processing circuit 54, it is transmitted to the personal computer 62 via the network I / F 36.

  Next, the configuration of the personal computer 62 will be described with reference to FIG. The personal computer 62 includes a CPU 70, an HDD 72, a RAM 74, a network I / F 76, a ROM 78, a display unit 80, an operation input unit 82, and a bus.

  The CPU 70 governs the overall operation of the personal computer 62, and a flowchart showing processing of the personal computer 62 described later is executed by the CPU 70. The HDD 72 is a non-volatile storage device in which information related to cooking such as the above-described cooking type information DB, a program, an OS, and the like are recorded. The RAM 74 is a volatile storage device in which the OS, programs, and data are expanded. The network I / F 76 is for connecting to the digital camera 10 and the pressure sensor 68 by wire or wirelessly, and includes a NIC and its driver. The ROM 78 is a non-volatile storage device that stores a boot program that operates when the personal computer 62 starts up. The display unit 80 displays information related to the personal computer 62 to a user such as a photographer. The operation input unit 82 is used when an operator inputs operations and information on the personal computer 62. The bus is used when information is exchanged.

  Next, the dish type information will be described with reference to FIG. As described above, the dish type information is recorded in advance in the HDD 72 of the personal computer 62 as the dish type DB.

  As shown in the figure, the dish type DB includes the color No, the luminance, and the color ratio (ratio to the area of the dish for each type of color included in the dish). The color ratio indicates a ratio for each dish name (in the figure, dishes A, B, and C).

  Among these, the color No. is identification information for identifying each color. Luminance indicates the type of color with three levels of RGB. Of course, the luminance is not limited to three levels, and the number of levels may be determined in consideration of the processing load, the data size of the dish type information, and the like. In this case, for example, if there are n stages, the number of colors is n to the third power.

  The color ratio indicates a ratio of the area of the dish for each type of color included in the dish indicated by the image indicating each dish A, B, and C. Specifically, for example, in the case of dish A, the ratio of color No. 4 is 10%, the ratio of color No. 13 is 30%, and the ratio of color No. 23 is 60%.

  The dishes are not limited to the dishes A, B, and C, and the number of dishes as necessary is recorded. It is also possible to register the color ratio of a new dish in the dish type information. Specifically, for example, a curry is photographed by the digital camera 10, the personal computer 62 detects the color ratio from the image indicating the curry, and the user selects “curry” from the operation input unit 82 of the personal computer 62 as a dish of the color ratio. By inputting, the color ratio of a new dish can be registered in the dish type information.

  Hereinafter, details of the processing will be described using a flowchart. The flowchart shown below shows processing executed by the digital camera 10 and the personal computer 62. In the following processing, it is assumed that the above-described through image is transmitted from the digital camera 10 to the personal computer 62.

  First, the overall process will be described with reference to FIG. In step 101, the digital camera 10 executes a photographing process for photographing a table on which a dish is prepared. In step 102, the personal computer 62 performs a name identifying process for identifying a dish name based on the dish image indicating the photographed dish. Execute. In step 103, the personal computer 62 records the dish information including the identified dish name in the HDD 72.

  Details of steps 101 and 102 will be described. First, details of the photographing process in step 101 will be described.

  FIG. 6 is a flowchart showing the photographing process (part 1). In this process, the user photographs a dish by pressing a photographing switch provided in the operation input unit 82 of the personal computer 62. Accordingly, in step 201, the personal computer 62 determines whether or not the shooting switch has been pressed. If it is determined that the shooting switch has been pressed, the personal computer 62 performs shooting execution processing in which shooting is performed in step 202. Details of this photographing execution process will be described later with reference to a flowchart.

  By the process shown in FIG. 6, the user does not need to prepare a camera for each meal, and thus can easily record a dish.

  Next, imaging processing (part 2) will be described with reference to FIG. In this process, a dish is photographed by detecting the arrival of a predetermined time. Therefore, this process is effective for users who have a fixed meal time. First, in step 301, the personal computer 62 determines whether or not a predetermined time has arrived. If it is determined that the time has arrived, the personal computer 62 performs the above-described shooting execution process in which shooting is performed in step 302.

  With the process shown in FIG. 7, the user does not have to prepare a camera for each meal, and is automatically photographed when a predetermined time arrives, so that the dish can be easily recorded. In addition, if the time for photographing food and drink is determined, the user will eat at this time, so that the user will eat at a fixed time every day, reducing the burden on the user's body. it can.

  Next, imaging processing (part 3) will be described with reference to FIG. This process is a process of photographing the table when it is detected that tableware is present on the table and when it is detected that a person has taken a seat at the table.

  Therefore, first, in step 401, the personal computer 62 performs a dish presence determination process. As will be described later, this process is a process for determining whether or not a dish exists on the table.

  In the next step 402, the personal computer 62 determines whether or not there is a dish. If there is no dish, the personal computer 62 performs the process of step 401 again. On the other hand, if a dish exists, it is determined in step 403 whether or not pressure is detected by the pressure sensor 68. If no pressure is detected, the process of step 401 is performed again. On the other hand, when the pressure is detected, the personal computer 62 performs a photographing execution process in step 404.

  With the processing shown in FIG. 8, the user does not need to prepare a camera for each meal, and since the dish is prepared and is automatically taken when sitting on a chair, the dish can be easily recorded. . Also, even if the person sits other than when eating a dish, the dish is not photographed because the dish is not detected.

  The dish presence determination process performed in step 401 will be described with reference to the flowchart of FIG. 9 and FIG. First, the personal computer 62 records the color of the table in advance from the table as shown in FIG.

  In step 501, the personal computer 62 determines whether or not a color different from the color of the table exists on the table, and if an affirmative determination is made (see FIG. 10B), it is determined that there is a dish in step 502. judge. Then, in step 503, the personal computer 62 detects a color other than the color of the table (see FIG. 10C), and in step 504, detects a lump in which colors other than the color of the table are continuously present as a dish. At this time, as shown in FIG. 10D, a number may be given to each dish.

  On the other hand, if a negative determination is made in step 501, the personal computer 62 determines in step 505 that there is no dish.

  It should be noted that the presence of a color different from the color of the table can be not only cooking, but also chopsticks, spoons, etc., and in this case as well, it is determined that there is cooking. In the dish presence determination process described above, it is determined whether a dish exists using an image. For example, an IC tag is attached to tableware, and the IC tag and the personal computer 62 communicate with each other. Thus, it may be determined whether or not a dish exists.

  Next, photographing execution processing executed in accordance with the flowcharts described with reference to FIGS. 6, 7, and 8 will be described with reference to the flowcharts in FIGS.

  First, photographing execution processing (part 1) will be described with reference to the flowchart of FIG. In step 601, the personal computer 62 instructs the digital camera 10 to shoot. In step 602, the digital camera 10 instructed to shoot images. In step 603, image data is transmitted and received. This process is a process in which the digital camera 10 transmits image data obtained by photographing to the personal computer 62, and the personal computer 62 receives the image data.

  Next, photographing execution processing (part 2) will be described using the flowchart of FIG. This process is a process for controlling the brightness of the illumination fixture 60 at the time of photographing so as to be a predetermined brightness.

  First, in step 701, the personal computer 62 outputs an instruction for setting the illumination to a predetermined brightness to the luminaire 60. This brightness is determined by the performance of the digital camera 10, the environment around the dining table, and the like, but it is assumed that the image obtained by photographing can determine the type of dish. Therefore, the predetermined brightness is generally brighter than usual. Further, the predetermined brightness is the same as the brightness at which the dish is photographed when the dish type information is recorded. Thereby, since the difference of brightness does not arise, the image which can specify a dish correctly can be obtained.

  In the next step 702, the personal computer 62 instructs the digital camera 10 to shoot. In step 703, the digital camera 10 instructed to shoot images. In step 704, image data is transmitted and received. Thereafter, in step 705, the personal computer 62 outputs an instruction for setting the illumination to a normal brightness to the luminaire 60. Thus, by returning to normal brightness, it is possible to prevent the user's meal atmosphere from being destroyed. In addition, power consumption can be reduced.

  Note that when the lighting fixture 60 is an illumination that generates flicker, such as a fluorescent lamp, a difference occurs in the amount of light received by the CCD 24 even during the same exposure time. A control example of the fluorescent lamp in that case will be described with reference to the flowchart of FIG. In step 801, the fluorescent lamp is first turned off. In step 802, a variable L indicating the brightness of the fluorescent lamp is initialized. In step 803, whether or not the brightness of the table matches that recorded in advance in step 803. Judge whether or not. If they match, the process ends. If dark, in step 804, it is determined whether or not L is Lmax, that is, the maximum light quantity of the fluorescent lamp.

  If it is determined in step 804 that L is Lmax, the process ends. If a negative determination is made, the light amount is increased by 1 and the process of step 803 is executed again.

  As shown in FIG. 14, the above process starts the exposure in accordance with the phase of the AC power source synchronized with the flicker. FIG. 14 shows the above-mentioned AC power source and fluorescent lamp. Flicker and exposure time are shown, and an example is shown in which the phase starts at 0 °. By doing so, it is possible to eliminate luminance variations due to fluorescent flicker at the time of exposure and photographing.

  Note that the F value and the shutter time are not changed when the light quantity of the fluorescent lamp is increased. In this way, the brightness of the fluorescent lamp can be determined so that the brightness of the table where there is no dish is the reference color sample and the brightness is the same as that of the photographed image.

  Next, the name specifying process in step 102 described with reference to FIG. 5 will be described. First, an outline will be described with reference to a schematic diagram related to the name specifying process shown in FIG. FIG. 15A is a screen showing the area and color ratio of dishes already registered in the dish type DB. As shown in the figure, the area of the dish and the ratio of red and orange in the area are registered. Then, as shown in FIG. 15B, the area of the dish shown in the dish image and the ratio of the area for each color type included in the dish are detected from the photographed dish image, and the dish type With reference to the DB, the name of the dish is specified as shown in FIG. In addition, in the case of a new dish that is not registered in the dish type DB, the name of the dish is input by the user as shown in FIG.

  This name specifying process will be described with reference to the flowchart of FIG. This process is a process executed by the personal computer 62. First, in step 901, the area of the dish is detected from the number of pixels, and in step 902, the color included in the dish is decomposed into RGB. In step 903, the brightness level of each pixel is detected to identify the color of each pixel. Specifying the color of each pixel means specifying the color No. of the dish type DB described with reference to FIG. 4 for each pixel.

  In the next step 904, the number of pixels (area) of each color specified in this way is obtained. In step 905, the dish type DB is referred to, and the highest degree of similarity is not less than a predetermined degree and the highest is specified as the name of the dish.

  The processing in step 905 will be described in detail with reference to FIG. FIG. 17 compares the dish type DB described in FIG. 4 with the area of the dish of the photographed dish image and the ratio of the area for each type of color included in the dish. It is a figure which shows specifying.

  First, the column of the photographed image showing the color ratio of the photographed food shows that color No0 is 35%, color No1 is 5%, color No9 is 5%, and color No21 is 55%. From this color ratio, the difference with the color ratio of each dish A, B, C is obtained. The total difference is 200 for dish A, 200 for dish B, and 20 for dish C, as shown in FIG. Therefore, since the difference of the dish C is the smallest, it can be said that the degree of similarity is the highest. Thereby, the name of the dish of the photographed dish image is specified as dish C. Thus, in the present embodiment, the degree of similarity is the sum of differences.

  In the above-described processing, obtaining the luminance for each RGB or referring to the dish type DB is a process that does not require a relatively large processing load as an image process. Can be specified.

  The name of the dish specified by the above process is recorded in the HDD 72 as shown in FIG. 18 in step 103 described with reference to FIG. As shown in FIG. 18, the recorded contents are date, time, and food.

  In the name specifying process, it is possible to avoid specifying a completely different dish name by providing a threshold for the total difference. Specifically, the threshold of the sum of differences is set to 10, for example, and if it is more than that, even the dish having the highest degree of similarity is not specified as the dish.

  The processing flow of each flowchart described above is an example, and the processing order may be changed, new steps may be added, or unnecessary steps may be deleted without departing from the scope of the present invention. Needless to say, you can.

  As described above, in the imaging system according to the present embodiment, by installing the digital camera 10 in the lighting fixture 60, the act of taking out the camera and shooting is not necessary, so that the burden on the user is reduced. In addition, by installing a camera in the table lighting, it is always front-lit and there is no need to use a strobe. In addition, when the normal brightness of the illumination is not suitable for shooting, the illumination can be set to a predetermined brightness for shooting only during shooting.

  Furthermore, since a new dish is recorded in the dish type DB by inputting a name and can be automatically detected from the image thereafter, it is not necessary for the user to enter the dish name by looking at the picture.

  Moreover, in embodiment described above, although cooking was demonstrated as food and drink, since foods and drinks, such as a drink, fruit, vegetables, and confectionery, also have a color, it cannot be overemphasized that this Embodiment can be applied.

It is a figure which shows the imaging | photography system which concerns on this Embodiment. It is a figure which shows the principal part structure of the electric system of the digital camera which concerns on this Embodiment. It is a figure which shows the structure of the personal computer which concerns on this Embodiment. It is a figure which shows cooking classification information. It is a flowchart which shows the whole process which concerns on this Embodiment. It is a flowchart which shows an imaging | photography process (the 1). It is a flowchart which shows an imaging | photography process (the 2). It is a flowchart which shows an imaging | photography process (the 3). It is a flowchart which shows a dish presence determination process. It is a schematic diagram which shows a dish presence determination process. It is a flowchart which shows imaging | photography execution processing (the 1). It is a flowchart which shows imaging | photography execution processing (the 2). It is a flowchart which shows a fluorescent lamp control process. It is a figure which shows the timing which image | photographs with the illumination which a flicker generate | occur | produces. It is a schematic diagram which concerns on a name specific process. It is a flowchart which shows a name specific process. It is a figure which shows specifying the name of a dish by comparing the dish area | region DB, the area of the dish of the image | photographed dish image, and the ratio for the area for every kind of color contained in the dish. It is a figure which shows an example of the name of the recorded dish.

Explanation of symbols

10 Digital camera 40, 70 CPU
48 Memory 60 Lighting fixture 62 Personal computer 64 Dining table 66 Cooking 68 Pressure sensor 72 HDD

Claims (5)

Lighting means for illuminating a table with food and drinks;
Imaging means installed in the lighting means in a state where the table can be photographed;
Based on the food and drink image showing the food and drink taken by the imaging means, a specifying means for specifying the name of the food and drink,
Food and beverage information recording means for recording food and drink information including the name of the food and drink specified by the specifying means;
A shooting system. It further has time detection means for detecting the arrival of a predetermined time,
The imaging system according to claim 1, wherein when the arrival of time is detected by the detection unit, the imaging unit captures the table. Tableware detection means for detecting the presence of tableware on the table;
Seating detection means for detecting that a person has been seated when a person eats at the table;
Further comprising
When the imaging means detects that the tableware is present on the table by the tableware detection means, and the seating detection means detects that a person has taken a seat when eating at the table The imaging system according to claim 1, wherein the table is photographed. The food / beverage type information recording means in which the ratio of the food / beverage to the area of the food / beverage displayed in the food / beverage image and the food / beverage type information indicating the food / beverage name are recorded in advance. And
The identification means detects an area of the food and drink shown in the food and drink image, and a ratio of the area for each type of color included in the food and drink from the food and drink image photographed by the imaging means, 4. The food and beverage type information recorded in the food and beverage type information recording means is used to identify the highest degree of similarity as the name of the food and beverage with the highest degree of similarity. The imaging system according to any one of the above.   The photographing according to any one of claims 1 to 4, further comprising illumination control means for controlling the brightness of the illumination means at the time of photographing by the imaging means so as to become a predetermined brightness. system.

Images