The present invention proposes a household appliance, more specific to an oven system. Such an oven system comprises of an oven with a camera unit, a control unit, and a remote smart device. On switching on the oven system, the camera unit is configured to capture the images of the oven cavity at regular interval of time. Furthermore, the control unit within the oven system is configured to performs image analysis on the received captured images from the camera unit. On analyzing the images, if the oven cavity is recognized as empty, no data transmission takes place between the oven’s control panel and the remote smart device. At the same time, if an empty oven cavity is driving a heating operation for couple of minutes exceeding its threshold value, the control unit may trigger a notification and stop a pre-heating operation for reducing energy consumption. In contrast, on recognizing that the oven cavity is not empty, the control unit transmits the analyzed image signals (i.e., data transmission) to the remote smart device wirelessly. Further, the received image by the remote smart device is processed with an algorithm based on a neural network to determine the type of food based on a food list. According to this processed results, the remote smart device recommends appropriate cooking operation via its user interface. The user selects a cooking operation from the recommended list of cooking operations on the user interface of the smart device. On user selection, the oven system executes the cooking operation. Following this, the remote smart device continuously monitors the following captured images by the camera unit. Therefore, such an oven system may reduce the unnecessary data transmission and uneconomical energy consumption.
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Mohr, Christian, "Empty Oven Recognition_ID-05977", Technical Disclosure Commons, (March 28, 2022)