Abstract: The embodiments herein disclose methods and systems for monitoring health of eyes of a user, a method includes determining ambient light around an electronic device of the user. On determining that the ambient light is below a pre-defined threshold, the method includes determining a lumen output of at least one content to be displayed in at least one of a continuous manner and at pre-configured intervals. Based on the determined lumen output and at least one user profile, the method includes estimating a variation in a pupil size of the user. Further, the method includes generating an eye health index for the user based on the estimated variation in the pupil size of the user. Further, the method includes tagging the at least one content as safe based on the eye health index for viewing the at least one content.

Abstract: The embodiments herein disclose methods and systems for switching between a macro and a non-macro sensing mode for capturing macro and non-macro media in real-time. A method for controlling an electronic device may include acquiring at least one frame; identifying an operation mode of the electronic device among a macro sensing mode and non-macro sensing mode based on at least one of focus data and blur data of the at least one frame; and acquiring at least one image by using an image sensor, from among a plurality of image sensors of the electronic device, corresponding to the operation mode.

Abstract: Embodiments herein provide an on-device method for enhancing user experience in an electronic device. The method includes monitoring a plurality of parameters associated with an operation of the electronic device. The method includes identifying an anomaly associated with the electronic device based on the plurality of parameters associated with the operation of the electronic device and identifying a class of anomaly to which the anomaly associated with the electronic device belongs using a first on-device model. Further, the method includes presenting at least one question associated with the identified class of anomaly to user of the electronic device using on a second on-device model and receiving at least one user input for the at least one question. Furthermore, the method includes performing at least one action for enhancing the user experience based on the at least one user input for the at least one question.

Abstract: The present disclosure discloses systems and methods for content enhancement using QCFA sensors of an electronic device. Embodiments herein include previewing contents in a field of view (FOV) of a first QCFA sensor, wherein the first QCFA sensor is operating in a first mode. Embodiments herein include detecting whether a zoom level of the contents previewed meets a first zoom-level criteria, and whether a light condition of the contents previewed meets a light criteria. Further, the first QCFA sensor may be configured to switch from a first mode to a second mode in order to enhance a resolution of the contents being previewed in the FOV of the first QCFA sensor in response to detecting that the zoom level of the contents previewed meets the first zoom-level criteria, and that the light condition of the contents previewed meets the light criteria.

Abstract: The embodiments herein disclose methods and systems for switching between a macro and a non-macro sensing mode for capturing macro and non-macro media in real-time. A method for controlling an electronic device may include acquiring at least one frame; identifying an operation mode of the electronic device among a macro sensing mode and non-macro sensing mode based on at least one of focus data and blur data of the at least one frame; and acquiring at least one image by using an image sensor, from among a plurality of image sensors of the electronic device, corresponding to the operation mode.

Abstract: A method performed by user equipment (UE) for selecting a camera among multi-camera includes receiving a user instruction indicative of capturing of a scene and detecting Time of Flight (TOF) sensor information relating to scene. The TOF sensor information pertains to details relating to depth of each pixel in an image and an IR image of the scene. The method includes determining depth information of the scene based on the TOF sensor information and is indicative of a ROI in the scene, information about at least one object in the scene, and a type of the scene. The method includes determining scene information based on the depth information including identification information of the at least one object in the scene and distance information to the UE from each object from among the at least one object. The method includes selecting a camera, from among a plurality of cameras based on the scene information.

Abstract: The present disclosure discloses systems and methods for content enhancement using QCFA sensors of an electronic device. Embodiments herein include previewing contents in a field of view (FOV) of a first QCFA sensor, wherein the first QCFA sensor is operating in a first mode. Embodiments herein include detecting whether a zoom level of the contents previewed meets a first zoom-level criteria, and whether a light condition of the contents previewed meets a light criteria. Further, the first QCFA sensor may be configured to switch from a first mode to a second mode in order to enhance a resolution of the contents being previewed in the FOV of the first QCFA sensor in response to detecting that the zoom level of the contents previewed meets the first zoom-level criteria, and that the light condition of the contents previewed meets the light criteria.

Abstract: Embodiments herein provide an on-device method for enhancing user experience in an electronic device. The method includes monitoring a plurality of parameters associated with an operation of the electronic device. The method includes identifying an anomaly associated with the electronic device based on the plurality of parameters associated with the operation of the electronic device and identifying a class of anomaly to which the anomaly associated with the electronic device belongs using a first on-device model. Further, the method includes presenting at least one question associated with the identified class of anomaly to user of the electronic device using on a second on-device model and receiving at least one user input for the at least one question. Furthermore, the method includes performing at least one action for enhancing the user experience based on the at least one user input for the at least one question.

Abstract: The embodiments herein disclose methods and systems for monitoring health of eyes of a user, a method includes determining ambient light around an electronic device of the user. On determining that the ambient light is below a pre-defined threshold, the method includes determining a lumen output of at least one content to be displayed in at least one of a continuous manner and at pre-configured intervals. Based on the determined lumen output and at least one user profile, the method includes estimating a variation in a pupil size of the user. Further, the method includes generating an eye health index for the user based on the estimated variation in the pupil size of the user. Further, the method includes tagging the at least one content as safe based on the eye health index for viewing the at least one content.

Abstract: A smart device and a method of operating the same are provided. The smart device includes a processor, and a sensor configured to detect movement of the smart device, generate an interrupt signal including information on a movement range corresponding to at least one movement type determined based on the detected movement, and output the interrupt signal to the processor and the processor is configured to control an action, corresponding to the interrupt signal received from the sensor, to be performed in response to the interrupt signal.

Abstract: A smart device and a method of operating the same are provided. The smart device includes a processor, and a sensor configured to detect movement of the smart device, generate an interrupt signal including information on a movement range corresponding to at least one movement type determined based on the detected movement, and output the interrupt signal to the processor and the processor is configured to control an action, corresponding to the interrupt signal received from the sensor, to be performed in response to the interrupt signal.