The present disclosure provides a cooking apparatus and a method for controlling the same for analyzing changes in the internal temperature, the external temperature, and the surface of a cooking material that is being cooked, and appropriately heating the cooking material based on the analysis result to cook the same. In particular, the intensity of heat emitted toward the cooking material from a heater or the cooking time may be controlled using an artificial intelligence (AI) model, which executes machine learning (ML) over a 5G network, such that the cooking material is appropriately cooked in accordance with a change in the surface of the cooking material and a change in a thermal image representing the internal temperature and the external temperature of the cooking material.

A heating cooking device includes: a heating chamber having a front face opening; and a heater that is provided on an upper wall of the heating chamber to heat an object to be heated stored in the heating chamber, at least part of the heater being disposed at a center of the heating chamber seen from above. The heating cooking device further includes camera that is provided on the upper wall of the heating chamber and is disposed closer to a front of the heating chamber than the center of the heating chamber is when seen from above, with camera having an imaging direction inclined toward a rear side of the heating chamber with respect to a vertical direction. The heating cooking device further includes blower fan that is provided on the upper wall of the heating chamber, closer to a front of the heating chamber than the center of the heating chamber is when seen from above and is disposed at a position on one of a right side and a left side with respect to camera as seen from above, and that blows air toward camera from the one of the right side and the left side.

A heating cooking device includes: a heating chamber having a front face opening; and a heater that is provided on an upper wall of the heating chamber to heat an object to be heated stored in the heating chamber, at least part of the heater being disposed at a center of the heating chamber seen from above. The heating cooking device further includes camera that is provided on the upper wall of the heating chamber and is disposed closer to a front of the heating chamber than the center of the heating chamber is when seen from above, with camera having an imaging direction inclined toward a rear side of the heating chamber with respect to a vertical direction. The heating cooking device further includes blower fan that is provided on the upper wall of the heating chamber, closer to a front of the heating chamber than the center of the heating chamber is when seen from above and is disposed at a position on one of a right side and a left side with respect to camera as seen from above, and that blows air toward camera from the one of the right side and the left side.

Operation of a combustion control system of furnace is controlled by image analysis, outside of the furnace or within the furnace, of a flame produced by combustion within the furnace, to correlate the image with carbon monoxide content of the flame, and adjustment of the oxygen and/or fuel flow into the furnace in response to the correlation.

Operation of a combustion control system of furnace is controlled by image analysis, outside of the furnace or within the furnace, of a flame produced by combustion within the furnace, to correlate the image with carbon monoxide content of the flame, and adjustment of the oxygen and/or fuel flow into the furnace in response to the correlation.

Externally-positioned cameras for use with ovens. The cameras may be provided as a single camera or as a plurality of cameras. In one example, the camera image a food item entering an oven and help set cooking parameters for the food item.

Externally-positioned cameras for use with ovens. The cameras may be provided as a single camera or as a plurality of cameras. In one example, the camera image a food item entering an oven and help set cooking parameters for the food item.

A measurement system is provided for predicting a future status of a refractory lining that is lined over an inner surface of an outer wall of a manufacturing vessel and exposed to an operational cycle during which the refractory lining is exposed to a high-temperature environment for producing a non-metal and the produced non-metal. The system includes one or more laser scanners and a processor. The laser scanners are configured to conduct one or more pre-operational laser scans of the refractory lining prior to the operational cycle to collect data related to pre-operational cycle structural conditions, and one or more post-operational laser scans of the refractory lining after the operational cycle to collect data related to post-operational cycle structural conditions of the refractory lining. The processor is configured to predict future status of the refractory lining after subsequent operational cycles based on the determined exposure impact of the operational cycle.

A refrigerator door and a manufacturing method of the same are disclosed. The refrigerator door includes a front panel that includes a first through hole and an input unit, a door liner, an upper cap decoration unit configured to seal an upper side of a first space defined between the front panel and the door liner, a frame attached to an inside of the front panel and defining a second space, a display assembly provided between the frame and the front panel and configured to emit light through the first through hole, and a touch sensor assembly provided between the frame and the front panel, the touch sensor assembly being fixed to a rear of the front panel at a position that corresponds to a location of the input unit. The upper cap decoration unit includes a communication hole for communicating with the second space and includes a cap cover.

A method and a system for determining a mass of feedstock discharged by a conveyor during a first time interval t are disclosed. The method includes taking successive digital images of the feedstock in a specific zone of the conveyor being separated by a second time interval t of smaller duration than the first time interval t, for each of the second time intervals t: computing the advancing distance of a sub-volume of feedstock during the second time interval t in the specific zone of the conveyor by numerical treatment of the two successive images associated with the second time interval t; determining at least one transversal height profile of the sub-volume of feedstock; and determining an effective feedstock density for the sub-volume of feedstock. The method further includes computing the mass of feedstock discharged by the conveyor during the first time interval t into the metallurgical furnace on the basis of the advancing distance, the at least one transversal height profile and the effective feedstock density, computed or determined for each of the second time intervals t.