A microwave oven comprising a cavity in which a material can be placed for heating and a magnetron for generating a microwave. The microwave oven further comprises an electromagnetic element adapted to interact with microwaves into the cavity and a control unit that provides a control signal to the electromagnetic element for modifying an impedance of the electromagnetic element during time of heating.

A device for heating liquids to be supplied to the human body includes an electric heating, a conduit for passing liquid there through, which conduit includes a conduit body on which the electric heating acts for supplying heat, and a heating which acts by electromagnet radiation on the liquid in order to heat it, characterized in that the heating is a microwave heating which includes a microwave generator and a housing which is shielded against microwaves and which includes a cavity in which the microwave generator generate a microwave field, and that a section of the conduit is disposed to extend in the cavity.

Several embodiments include a cooking appliance. The cooking appliance can include one or more heating elements; a cooking chamber; and a camera attached to the interior of the chamber. In some embodiments, the cooking chamber prevents any visible light from escaping the chamber (e.g., the cooking chamber is windowless). In some embodiments, the heating elements are controlled by a computing device in the cooking appliance. In some embodiments, the output of the camera is used to adjust heating pattern of the heating elements.

A core temperature detector for a combination cooking appliance, has a measuring section and a handle section. Furthermore, a contacting tube is provided, a cable being guided in the contacting tube. The cable has an unsheathed area in the handle section, in which the contacting tube forms a contact point along with the cable, wherein the contact point has a distance to the handle-side end, which corresponds to an electrical length of the microwave radiation in the handle section, which is shorter than or equal to one quarter of the wavelength of the microwave radiation used in the combination cooking appliance. Also described is a combination cooking appliance comprising the core temperature detector as above described.

A combination cooking appliance has a cooking chamber and a microwave source with a microwave power. In a method for the safe operation of the combination cooking appliance, a cooking chamber temperature prevailing in the cooking chamber is detected, and a convection-relevant parameter is determined. The detected cooking chamber temperature and the convection-relevant parameter are evaluated to determine a maximum permissible microwave power. The microwave power of the microwave source is limited to the maximum permissible microwave power.

A method of controlling a cooking appliance, the method including obtaining an image captured by a camera arranged inside a cooking chamber of the cooking appliance, detecting, based on the captured image, a probe inserted into an object to be cooked that is placed inside the cooking chamber, performing a cooking operation on the object to be cooked, obtaining a probe temperature measurement value measured by the probe, determining whether a difference in value between a predicted probe temperature value, which is determined based on a type and an amount of the object to be cooked, and the measured probe temperature measurement value is greater than or equal to an error reference value, and based on the difference in value between the predicted probe temperature value and the probe temperature measurement value being greater than or equal to the error reference value, compensating the probe temperature measurement value.

An oven may include an image processing system configured to take images of an interior of a cavity of the oven. Images of the interior of the oven cavity captured by the image processing system are input into a machine learning model trained to identify food items in the image. The oven uses the identity of the food item output by the machine learning model to determine a cooking program for the food item and cooks the food item according to the cooking program. The oven may use the image processing system to monitor the cooking process of the food item and update the cooking program during the cooking process based on the observed progress.