SYSTEM FOR PREPARING AT LEAST ONE FOOD AND METHOD FOR OPERATING THE SYSTEM IN QUESTION

Description

[0001] The invention relates to a system for preparing at least one foodstuff and a method for doing so.

[0002] Currently, systems exist where the user must provide the system with a large amount of information about the cooking process and the food being cooked. This increases the user's time commitment. Furthermore, despite correctly entering the required information, the food is often not cooked optimally within the cooking chamber.

[0003] Document EP 2 930 433 A1 discloses a system for the preparation of a foodstuff.

[0004] It is an object of the present invention to at least partially overcome the disadvantages described above. In particular, it is an object of the present invention to provide an improved system for preparing at least one foodstuff and a method for doing so, such that the foodstuff is cooked within the cooking chamber with as few defects as possible.

[0005] The foregoing problem is solved by a system with all the features of claim 1 and by a method with all the features of claim 17. Further features and details of the invention will become apparent from the respective dependent claims, the description, and the drawings. Features and details described in connection with the method according to the invention naturally also apply in connection with the system according to the invention, and vice versa, so that the disclosure of the individual aspects of the invention is always, or can always be, mutually referenced.

[0006] The task is solved in particular by a system for preparing at least one foodstuff with a cooking chamber in which the foodstuff can be prepared, wherein the system is equipped with an object recognition system for automatically determining input parameters of the foodstuff, a control unit which determines cooking data on the basis of the input parameters, and an energy unit in order to supply energy to the cooking chamber as specified for the foodstuff depending on the cooking data.

[0007] In particular, the object recognition system automatically detects defined input parameters of the food, enabling the system to generate corresponding cooking data. This allows the energy unit to precisely deliver energy to the cooking chamber, precisely tailored to the food being prepared, thus bringing the food to an optimal, edible state. According to the invention, a cooking instruction for the food in the cooking chamber is automatically applied, eliminating the need for time-consuming or error-prone manual input of cooking data by the user.Using the system according to the invention, the cooking data for each food item can be precisely determined, and in particular, the preparation instructions can be adapted for cooking, for example, by cooking large and heavy foods for a longer time and / or at a higher temperature. Small and light foods, especially those of the same category or type, are prepared or cooked for a correspondingly shorter time and / or at a lower temperature by the system according to the invention. The invention also includes the simultaneous preparation of several foods of the same type and / or different types, with the energy supply to each food item being adjusted accordingly. The system can be designed such that the cooking time is the same for all foods in the cooking chamber.Naturally, the system can also take into account that cooking times vary depending on the specific food being prepared. According to the invention, the system can be designed so that the user can individually adjust cooking parameters, naturally within the framework of the preparation instructions. This means that the system allows the user some flexibility in setting certain cooking parameters. This results in corresponding additional cooking parameters, such as cooking temperature, which the system then predefines.

[0008] Preferably, the input parameter can be at least one of the following parameters of the food: Size, weight, type, number, temperature, position in the cooking chamber.

[0009] The input variables mentioned are not an exhaustive list; naturally, other parameters can be considered as input variables. In one embodiment of the invention, size and weight are advantageous as input variables for determining the appropriate cooking time and / or temperature for the respective foodstuff. Of course, the type of foodstuff and / or the quantity of foodstuffs can also be important for determining the appropriate cooking data. The input variable temperature can also be taken into account by the system according to the invention, where the temperature is the food temperature. To ensure that the foodstuff is supplied with the appropriate energy for cooking in the cooking chamber, its position within the cooking chamber can be useful information for the system.

[0010] According to the invention, the system can be a cooking device comprising the cooking chamber and / or the energy unit and / or the object detection, in particular, the cooking device being an oven. The cooking chamber can be closed or open within the system, especially the cooking device. The cooking device can also be part of an oven-cooktop combination. Alternatively, the cooking device can be a standalone cooktop.

[0011] According to the invention, the preparation of the foodstuff in question using the system refers to cooking, which can include, for example, moist or dry cooking techniques. In moist cooking techniques, the use of water is important. The following moist cooking techniques are conceivable: boiling, steaming, braising, simmering, pressure cooking, low-temperature cooking, or sous-vide cooking. Dry cooking techniques are also included in this invention, such as roasting, sautéing, grilling, deep-frying, and braising. In a further embodiment of the invention, the power unit can emit high-frequency radiation into the cooking chamber, preferably between 2 GHz and 3 GHz, and more preferably 2.4 GHz. This allows for efficient food preparation.

[0012] Advantageously, within the scope of the invention, the object recognition can include at least one camera by which at least one input parameter can be determined; in particular, the camera can be integrated into the cooking device. For example, the camera can be designed to collect information to determine the size and / or weight and / or type and / or quantity of the food and / or the temperature of the food and / or its position in the cooking chamber. It is conceivable that the camera captures one or more images of the food. Advantageously, the object recognition is carried out using optical recognition methods, as described above, for example, with one or more cameras. The invention also includes the possibility that the object recognition is carried out using acoustic or other physical recognition methods.

[0013] Advantageously, the object recognition system incorporates one or more image sensors, enabling the detection of one or more input parameters of the food item. Furthermore, the object recognition system can include at least one 2D or 3D camera, allowing for the detection of parameters such as size and / or volume.

[0014] Furthermore, it is conceivable that the object recognition system includes the control unit and / or a device for measuring at least one input variable, in particular weight. Preferably, the object recognition system is configured such that the missing input variable, such as "weight," is calculated and / or determined from defined input variables.

[0015] Alternatively, a separate device for measuring weight can be provided, wherein the device is designed as a scale. In this embodiment, the object recognition determines at least some of the input parameters of the food, with the device for measuring weight being provided separately within the system. According to the invention, all input parameters are transmitted to the control unit, which determines the cooking data based on the input parameters.

[0016] A further advantage of the invention can be achieved by providing a database from which functional data for determining the cooking data can be read by the control unit, or from which cooking data can be read by the control unit, particularly by the cooking device incorporating the database. The database can, for example, contain functional data that makes determining the cooking data possible in the first place. For instance, it is conceivable that the object recognition system determines at least the input variables "size" and "type". The missing input variable "weight" can, for example, be determined from the functional data by storing the density related to the type of food in the functional data and consequently calculating the weight from it: Density * Volume = Mass (Weight).The database can be integrated into the control unit, and in another possible embodiment of the invention, the functional data can be changed, for example, successively by the user during the use of the system.

[0017] It is also advantageous that the cooking device has walls that define the cooking chamber, in particular that the walls comprise a floor, side walls, and a ceiling. Advantageously, the cooking device also has a closing element, in particular a door, which is in a closed position during the cooking process, thereby sealing off the cooking chamber from the outside world.

[0018] Furthermore, within the scope of the invention, it is conceivable that the energy unit is arranged in at least one wall, wherein the energy unit comprises a plurality of energy elements arranged in or on the at least one wall in such a way as to form a planar energy unit. Particularly efficient energy input is achieved when the energy unit is arranged in the ceiling or floor of the cooking appliance. It is also possible for the energy unit to be integrated into all walls, thereby enabling highly efficient cooking.

[0019] Furthermore, the system according to the invention comprises a planar energy unit adapted to the dimensions of the at least one wall in or on which the energy unit is arranged, wherein the planar energy unit corresponds to at least 50% of the dimensions of the at least one wall, preferably to at least 80% of the dimensions of the at least one wall. Each wall has a surface facing the cooking chamber. The planar energy unit advantageously has the dimensions of this surface, thereby enabling efficient energy input into the cooking chamber.

[0020] It has proven advantageous that the energy element is designed as an antenna, allowing energy to be emitted into the cooking chamber as high-frequency radiation. It is conceivable that the antennas could be individually controllable, creating multiple cooking zones within the cooking chamber. Based on the determined cooking data, the object recognition system, particularly the control unit, can ensure that the energy unit operates in a manner tailored to the specific food being cooked. Energy is supplied only to the areas within the cooking chamber where the food is located. Naturally, the cooking data can differ between the various cooking zones.

[0021] Furthermore, it can be advantageous for the cooking device to have a display that can show at least one input parameter and / or cooking data. The display can also serve as an input device to allow the user to select and / or enter at least one input parameter and / or one or more cooking data.

[0022] Furthermore, it is possible that a cloud is provided which includes the database and / or the control unit. The cloud can be a network, in particular a computer network, wherein several systems according to the invention can communicate with the cloud. The object recognition and / or the control unit of one system can exchange data, in particular input parameters and / or cooking data, with each other, for example via the cloud, thereby increasing the efficiency of preparing the at least one food product or enabling improved automatic determination of input parameters by the object recognition. The system with the cloud and / or the overall system, which is composed of several systems according to the invention, in particular with the cloud, can be self-learning. The invention can, for example, comprise a knowledge-based system, in particular an expert system.

[0023] Furthermore, it is conceivable that object detection takes place outside the cooking chamber. Advantageously, at least one wall of the cooking device must allow for the automatic determination of the food's input parameters. Preferably, one wall has a kind of window, so that the external object detection is directed through this window into the cooking chamber to determine the food's input parameters.

[0024] It is also conceivable within the scope of the invention that the object recognition system determines input parameters of the food outside the cooking device. The user then places the food in the cooking chamber, where it can be cooked accordingly by the energy unit in the next step.

[0025] Furthermore, according to the invention, it is conceivable that the object recognition is a mobile object recognition device with which at least some input parameters can be determined outside the cooking chamber, wherein the object recognition device has communication interfaces so that data communication between the cloud and / or the cooking device and / or the control unit is possible. The mobile object recognition device can have all the features that have been previously described for the object recognition arranged on the cooking device. The mobile object recognition device can, for example, be a mobile phone which, firstly, has the function of determining the input parameters. Secondly, it can be equipped with the control unit, which determines cooking data with which the system according to the invention can operate the energy unit accordingly in order to cook the food.

[0026] Furthermore, it may be essential to the invention that the object detection system includes a light source for illuminating the cooking chamber. It has been found that improved object detection is achieved when the cooking chamber is adequately illuminated, allowing for satisfactory determination of the food's input parameters via object detection.

[0027] It is also possible to provide thermal insulation between the object detection unit and the cooking chamber. Thermal insulation is only advantageous if the object detection unit is located inside or on the cooking chamber, thus effectively protecting it from radiation, heat, dirt, dust, etc.

[0028] The invention also relates to a method with the features of claim 17. The method thus offers the same advantages as have been described in detail with reference to the system according to the invention.

[0029] Advantageously, the method includes a database of functional data, which is at least partially linked to the input variables. The input variables can be at least one of the following food parameters: size, weight, type, quantity, temperature, or position in the cooking chamber. The cooking data determines a preparation instruction for cooking the food, and the cooking data can be at least one of the following: cooking time and cooking temperature. Advantageously, the input variables and / or the cooking data can be determined from the functional data.

[0030] In one embodiment of the invention, the object recognition determines at least the input parameters type and / or size of the foodstuff, wherein the input parameter "weight" is calculated taking functional data into account. Additionally or alternatively, the input parameter weight of the foodstuff can be measured by the object recognition.

[0031] In particular, it is conceivable that the object recognition system determines and / or measures at least the input parameters of the type and / or size and / or weight of the food. For example, the method according to the invention comprises determining and identifying the input parameters of the type and size of the food via object recognition, with the weight of the food being measured via a separate measuring device. The measured input parameter is then used to determine the cooking data.

[0032] Furthermore, the inventive method comprises an energy unit with a plurality of energy elements, which are arranged, in particular, next to each other, so that energy can be supplied evenly to the cooking chamber, whereby, depending on the input parameters and / or cooking data, energy can be supplied to the cooking chamber in such a way that several cooking chamber zones are created which can be operated with different cooking data. This allows food to be prepared particularly efficiently and effectively within the cooking chamber.

[0033] Advantageously, the method according to the invention can be configured such that the object recognition system communicates with an external unit to record input parameters and / or cooking data and / or images of the food during the cooking process and transmit them to the external unit, wherein the external unit is a mobile computer and / or a mobile phone and / or tablet computer and / or a display device. The user can thus read various information from the external unit. Furthermore, in a further embodiment of the method according to the invention, it is also conceivable that the method according to the invention can be controlled and / or regulated via the external unit. This means, for example, that the user can change cooking data that has been automatically determined by the method according to the invention.

[0034] Further advantages, features, and details of the invention will become apparent from the following description, in which several exemplary embodiments of the invention are described in detail with reference to the drawings. The features mentioned in the claims and in the description can each be essential to the invention individually or in any combination. The drawings show: Fig. 1 a schematic representation of a system according to the invention, in particular a cooking device, Fig. 2 a schematic representation of a system according to the invention, in particular a cooking device, with a cloud, Fig. 3 a schematic representation for determining input variables and cooking data, Fig. 4 a schematic representation of a system according to the invention, in particular a cooking device in a further embodiment, Fig. 5 a schematic representation for determining cooking data, Fig. 6 a further schematic representation of an alternative embodiment for determining cooking data, Fig. 7 a further embodiment for determining cooking data, Fig. 8 a further embodiment for determining cooking data, Fig. 9 a possible embodiment of an energy unit that can be used in a system according to the invention, Fig. 10 a further embodiment of a system according to the invention, in particular a cooking device, Fig.Fig. 11 An embodiment of a system according to the invention with a mobile object recognition system that communicates with a cloud and the cooking device according to the invention. Fig. 12 A further embodiment of a system according to the invention.

[0035] Fig. 1 shows a system 1.50 for preparing at least one food item 2. The in Fig. 1The illustrated system 1, 50 has a cooking chamber 3 in which the food 2 is located. The system 1, 50 includes an object recognition unit 10 for automatically determining input parameters 100 of the food 2. In the illustrated embodiment, the object recognition unit 10 is located within the cooking chamber 3 above the food 2. Furthermore, the system 1, 50 includes a control unit 20, which can determine cooking data 110 based on the input parameters 100. Energy can be supplied to the food 2 via an energy unit 30 within the system 1, 50, depending on the cooking data 110.

[0036] The input parameters 100 can be the following parameters of food 2: size 101 of food 2, weight 102 of food 2, type 103 of food 2, number 104 of food, temperature of food 2 and position 106 of food 2 in cooking chamber 3.

[0037] The parameters listed here do not constitute an exhaustive list.

[0038] The cooking parameters 110 define a preparation instruction for cooking the food 2, wherein the cooking parameters 110 can be at least one of the following: cooking time 111 and cooking temperature 112. In the present embodiment, the system 1, 50 is a cooking device 50 designed as an oven, wherein the cooking device 50 has walls 51 that delimit the cooking chamber 3. Alternatively, the invention also includes the possibility that the cooking chamber 3 is open, i.e., that no walls delimit the cooking chamber 3. Fig. 1 The cooking chamber 3 is bounded by a floor 52, side walls 53, a ceiling 54, and a door (not shown). The object detection unit 10 is located on the ceiling 54. According to all embodiments, it is also conceivable that the object detection unit 10 is fully integrated into one of the walls 51. Alternatively to Fig. 1 The inventive concept also includes the fact that the object recognition 10 can also be arranged outside the cooking chamber 3, which is located in Fig. 4 shown schematically.

[0039] The object recognition system 10 can, for example, include at least one camera 14 by which at least one of the aforementioned input variables 100 can be determined. For example, it is conceivable that the object recognition system 10 is equipped with one or more 2D or 3D cameras in order to efficiently determine the input variables 11. In one possible embodiment of the invention, the object recognition system 10 recognizes the size of the food item 2. The cooking device 50 system can also recognize, from the data of the object recognition system 10, the type 103 of the food item 2, the quantity 104 of the food item 2, and other input variables 100, which have already been mentioned here as examples. The weight 102 can also be determined via the object recognition system 10, for example, using a database 120 according to Fig. 7 or Fig. 8The control unit 20 extracts corresponding functional data 130 from the determined input variables 100. The functional data 130 can be used to calculate the weight 102. For example, the size 101 (volume) can be determined as input variable 100. Furthermore, the object recognition unit 10 can recognize the input variables 103, 104, and 106. The density of the food item 2 can be stored in the database 120. Based on the knowledge of the input variable 103, the control unit 20 can calculate the weight 102 as an input variable as follows: Mass = Density * Size (Volume).

[0040] Thus, the cooking data 110 can be determined, whereby the control unit 20 then transmits this cooking data 110 to the energy unit 30 according to Fig. 7 provides.

[0041] According to Fig. 8It is shown that in addition to the functional data 130, additional cooking data 110 are integrated within the database 120, so that the control unit 20 can receive or read out at least partially or all of the cooking data 110 from the database 120 via the determined input variables 100.

[0042] In Fig. 1Another alternative for determining the input variable "weight" 102 is shown schematically. System 1, 50 includes a device 40 for measuring the weight of the food 2. Thus, the cooking device 50 represents an oven with an integrated scale. For example, the device 50 can have integrated strain gauges, which are not explicitly shown, with the help of which the input variable "weight" 102 of the food 2 can be determined. Of course, alternative measurement methods for determining the weight are conceivable. In this embodiment, the object recognition determines a portion of the input variables 100, while the device 40 has the function of determining the input variable 102.

[0043] Regardless of whether the object recognition 10 determines all input variables 100 or at least partially determines an input variable 102 by the device 40, all input variables 100 are passed to the control unit 20, which determines Gardaten 111, 112 depending on the input variables 100, which in Fig. 5 and Fig. 6 shown schematically. Fig. 5 All gar data 111, 112 can be determined via object recognition 10. In Fig. 6 The schematic shows that the control unit 20 can determine a portion of the cooking data 111 from the determined input variables 100. A further portion of the cooking data 112 is first measured by the device 40 and then made available to the control unit 20.

[0044] The energy unit 30 can, for example, be integrated into a wall 51. This is shown as an example. Fig. 1that the energy unit 30 is located on the ceiling 54. It is also conceivable, although not explicitly shown, that the energy unit 30 is alternatively or additionally located on the floor 52 and / or on at least one side wall 53. In Fig. 9 It has been shown, for example, that the energy unit 30 is formed from a multitude of energy elements 31 arranged in a matrix. The energy unit 30 is planar. Advantageously, the planar energy unit 30 is adapted to the dimensions of a wall 53, in particular the ceiling 54, which is shown in Fig. 1 as shown, for example. Each energy element 31 is designed as an antenna with which energy can be emitted as high-frequency radiation into the cooking chamber 3. A particular advantage is that the antennas are designed in such a way that they can be individually controlled, so that a plurality of cooking chamber zones 4, 5 are created in the cooking chamber 3, which in Fig. 10As shown, if, for example, the object recognition unit 10 detects that two different types of food 2 are present in the cooking chamber 3, the cooking data 110 is determined as described above. Subsequently, each food item 2 located in the cooking chamber 3 can be individually cooked using the energy unit 30. In this process, the energy elements 31 are activated accordingly, emitting high-frequency radiation towards the respective food item 2. The control unit 20 ensures that the energy unit 30 receives the corresponding cooking data.

[0045] In Fig. 2It is shown that the system 1, 50 can be run with a cloud 60, which can, for example, include the database 120 and / or the control unit 20. The cooking device 50 has an interface 56 for communication with the cloud 60. For example, the interface 56 can ensure that the input variables 100 determined by the object recognition 10 are sent to the cloud 60. The cloud 60 can be configured according to Fig. 3 and / or Figs. 5 to 8 It must be designed to determine cooking data 110, which is then sent to the cooking device 50. The energy unit 30 can be operated according to the cooking data 110.

[0046] In Fig. 11The schematic representation shows that the object detection device 10 is located outside the cooking chamber 3, and that the object detection device 10 is a mobile object detection device 10, which the user can, for example, carry in their hand. The mobile object detection device 10 can determine some or all of the input parameters 100 outside the cooking chamber 3. The object detection device 10 can then transmit the input parameters 100 to the cooking device 50 via its communication interface 12, which in turn receives this data via its interface 56. The control unit 20 then determines the corresponding cooking data 110. Alternatively, it is conceivable that the cooking data 110 is determined within the mobile object detection device 10 and then transmitted to the cooking device 50. In a further embodiment according to Fig. 11It is also conceivable that the determined input variables 100 are first sent to a cloud 60, which, for example, uses a database 120 and / or a control unit 20 to determine corresponding cooking data 110. The cooking data 110 determined in the cloud 60 can be transmitted directly to the cooking device 50 or first to the mobile object recognition device 10, which can then provide the cooking data 110 to the cooking device 50.

[0047] Advantageously, the object recognition 10 has thermal insulation 13, see example in Fig. 1 and Fig. 2 , to protect the object recognition 10 from heat, contamination, dust, etc. Likewise, in an embodiment as shown in Fig. 1As shown, the system 1, 50 is equipped with a light source 15 to provide sufficient light for object recognition 10 to determine the input parameters of the food 2. During the cooking process, the light source 15 can be brought into both an activated and a deactivated state, which is advantageously selected by the user or the system.

[0048] For example, according to Fig. 1 The cooking device 50 may be equipped with a display 55, which can, for example, show all input variables 100 and cooking data 110. The user can also individually enter input variables 100 and / or change or re-enter cooking data 110 via the display 55. The display 55 is advantageously connected to the control unit 20 and / or the object recognition unit 10 via data communication. Fig. 1This also shows that the cooking device 50 can also be used as a scale, whereby the weight 102 can be displayed to the user via the display 55 without the actual cooking process having been started.

[0049] In Fig. 12 Another embodiment of the system 1 according to the invention is shown, which is comprised of a plurality of cooking devices 50, each of which is in data communication with a cloud 60. The embodiment according to Fig. 2 and according to Fig. 11 is in Fig. 12 This can be mapped. It is also conceivable that database 120 can be listed in cloud 60. This means that cloud 60 is self-learning; for example, database 120 can be populated with data from a large number of measured input variables 100 so that cooking data 110 for the remaining cooking devices 50 can be derived much faster and more easily.

[0050] According to Fig. 1Is it conceivable that an external unit 70 is provided, which communicates with the object recognition unit 10 in data communication in order to obtain images and / or information during the cooking process, which the user can then access from the external unit 70? The external unit 70 could, for example, be a mobile computer and / or a mobile phone or a display device.

[0051] The in Fig. 1 The described characteristics can be found in the systems according to Figs. 2 to 12 also realize, which, to avoid repetition, will not be explicitly addressed. Reference symbol list

[0052] 1.50 System 2 Food 3 Cooking chamber 4 Cooking chamber zone 5 Cooking chamber zone 10 Object detection 12 Communication interface 13 Thermal insulation 14 Camera 15 Light source 20 control unit 30 Energy unit 31 Energy element 40 Device (weight measurement) 50 Oven, cooking device 51 Walls 52 Floor 53 Side wall 54 Ceiling 55 Display 56 Interface 60Cloud 70 External unit 100 Input size 101 Size 102 Weight 103 Type 104 Quantity 105 Temperature 106 Position in the cooking chamber 110 Cooking data 111 Cooking time 112 Cooking temperature 120 database 130 Functional data

Claims

1. A system (1, 50) for preparing at least one food item (2), comprising a cooking chamber (3) in which the food item (2) can be prepared, an object detection unit (10) for automatically determining input variables (100) of the food item (2), a control unit (20) that determines cooking data (110) based on the input variables (100), an energy unit (30) for supplying energy to the cooking chamber (3) in a manner specified for the food item (2) based on the cooking data (110), wherein the object detection unit (10) can determine at least the input variable (100) type and / or size of the food item (2), and the input variable (100) weight (102) can be calculated by the object detection unit (10) taking into account functional data (130), and / or the object detection unit (10) can measure the input variable (100) weight (102) of the food item (2), wherein the cooking data (110) determine a preparation instruction for cooking the food item (2), wherein the preparation instruction for cooking the food item (2) located in the cooking chamber (3) can be used automatically.

2. System (1, 50) according to claim 1, characterized in that the input variable (100) is at least one of the following parameters of the food item (2): - type (103) - quantity (104) - temperature (105) - position in the cooking chamber (106)3. System (1, 50) according to claim 1 or 2, characterized in that the cooking data (110) are at least one of the following parameters: - cooking time (111) - cooking temperature (112).

4. System (1, 50) according to one of the preceding claims, characterized in that the system (1, 50) is a cooking device (50) comprising the cooking chamber (3) and the energy unit (30) and preferably the object detection unit (10), in particular that the cooking device (50) is an oven.

5. System (1, 50) according to one of the preceding claims, characterized in that the object detection unit (10) comprises at least one camera (14) by means of which at least one input variable (100) can be determined, in particular that multiple cameras (14) are provided.

6. System (1, 50) according to one of the preceding claims, characterized in that the object detection unit (10) comprises the control unit (20) and / or a device (40) for measuring at least one input variable (100), in particular the weight (102).

7. System (1, 50) according to one of the preceding claims, characterized in that the object detection unit (10) is configured such that the object detection unit (10) determines the weight (102) based on the determined input variables (100).

8. System (1, 50) according to one of the preceding claims, characterized in that the device (40) is a scale.

9. System (1, 50) according to any of the preceding claims, characterized in that a database (120) is provided from which functional data (130) for determining the cooking data (110) can be read by the control unit (20), or from which the cooking data (110) can be read by the control unit (20), in particular that the cooking device (50) comprises the database (120).

10. System (1, 50) according to any one of claims 4 to 9, characterized in that the cooking device (50) comprises walls (51) that delimit the cooking chamber (3), in particular the walls (51) comprise a bottom (52), side walls (53), and a ceiling (54).

11. System (1, 50) according to any one of the preceding claims, characterized in that the energy unit (30) is arranged in at least one wall (51), wherein the energy unit (30) comprises a plurality of energy elements (31) which are arranged in or on the at least one wall (51) such that a flat energy unit (30) is formed, in particular such that the flat energy unit (30) is adapted to the dimensions of the at least one wall (51) in or on which the energy unit (30) is arranged, wherein the flat energy unit (30) corresponds to at least 50% of the dimensions of the at least one wall (51), preferably the flat energy unit (30) corresponds to at least 80% of the dimensions of the at least one wall (51).

12. System (1, 50) according to claim 11, characterized in that the energy element (31) is designed as an antenna with which energy can be emitted into the cooking chamber (3) as high-frequency radiation, in particular that the antennas are designed such that they can be individually controlled, so that a plurality of cooking chamber zones (4, 5) can be created in the cooking chamber (3).

13. System (1, 50) according to any one of claims 4 to 12, characterized in that the cooking device (50) comprises a display (55) with which at least one input variable (100) and / or cooking data (110) can be displayed and / or that a cloud (60) is provided, which comprises the database (120) and / or the control unit (20).

14. System (1, 50) according to any one of the preceding claims, characterized in that the object detection unit (10) is a mobile object detection device with which input variables (100) can be determined at least partially outside the cooking chamber (3), wherein the object detection unit (10) comprises communication interfaces (12) so that data communication between the cloud (60) and / or the cooking device (50) and / or the control unit (20) is possible, in particular such that the object detection unit (10) operates outside the cooking chamber (3).

15. System (1, 50) according to one of the preceding claims, characterized in that the object detection unit (10) comprises a light source (15) for illuminating the cooking chamber (3).

16. System (1, 50) according to one of the preceding claims, characterized in that a thermal insulation (13) is provided between the object detection unit (10) and the cooking chamber (3).

17. Method for operating a system (1, 50), in particular according to one of the preceding claims, for preparing at least one food item (2) located in a cooking chamber (3), comprising an object detection unit (10) that automatically determines input variables (100) of the food item (2), a control unit (20) that, based on the input variables (100), determines cooking data (110), an energy unit (30) that supplies an energy specified for the food item (2) to the cooking chamber (3) depending on the cooking data (110), wherein the object detection unit (10) determines at least the input variable (100) type and / or size of the food item (2), and the input variable (100) weight (102) is calculated taking into account functional data (130), and / or the object detection unit (10) measures the input variable (100) weight (102) of the food item (2), wherein the cooking data (110) determine a preparation instruction for cooking the food item (2), wherein the preparation instruction for cooking the food item (2) located in the cooking chamber (3) is used automatically.

18. The method according to claim 17, characterized in that the input variable (100) is at least one of the following parameters of the food item (2): - type (103) - quantity (104) - temperature (105) - position in the cooking chamber (106), wherein the cooking data (110) are at least one of the following parameters: - cooking time (111) - cooking temperature (112)19. The method according to claim 17 or 18, characterized in that a database (120) contains functional data (130) that are at least partially correlated with the input variables (100), wherein input variables (100) and / or cooking data (110) are determined from the functional data (130).

20. A method according to any of the preceding method claims, characterized in that the energy unit (30) comprises a plurality of energy elements (31) which are arranged, in particular, side by side, so that the cooking chamber (3) can be supplied with energy uniformly, wherein, depending on the input variables (100) and / or cooking data (110), energy can be supplied to the cooking chamber (3) in such a way that multiple cooking chamber zones (4, 5) are created, which can be operated with different cooking data (110).

21. A method according to any of the preceding method claims, characterized in that the object detection unit (10) communicates with an external unit (70) to capture the input variables (100) and / or cooking data (110) and / or images of the food item (2) and to transmit them to the external unit (70), wherein the external unit (70) is a mobile computer and / or a mobile phone and / or a tablet computer and / or a display device.