Abstract: Disclosed are a lens control device using AI and a smart variable-focus lens and a lens control method using the same. The lens control device using AI includes a gaze determination unit configured to train an artificial intelligence (AI) model by receiving data and a controller configured to control a focus of a lens based on a result value derived by the AI model. The smart variable-focus lens includes a data collection unit configured to collect data for the training of the common sense model, an additional data collection unit configured to collect small-scale data based on a feedback signal, a lens control device using AI, and a variable-focus lens having a changeable focus.

Abstract: A method of controlling focus-adjustable glasses based on user feedback is provided. The method includes a step of classifying a feedback type of user feedback data collected from focus-adjustable glasses by using a feedback classifier, a step of determining a focus adjustment policy according to the classified feedback type and performing a focus adjustment operation corresponding to the determined focus adjustment policy by using a focus controller, a step of collecting after-focus-adjustment user feedback data from the focus-adjustable glasses adjusted based on the focus adjustment operation and updating a compensation function on the focus adjustment operation by using a feedback learner, based on the after-focus-adjustment user feedback data, and a step of maximizing the updated compensation function to learn the focus adjustment policy by using the focus controller.

Abstract: The present disclosure relates to a visual assistance device that controls focus through progressive learning. The device includes: a data acquisition unit configured to collect visual information of an object gazed at by a user, based on the user's biometric, visual, and auxiliary signals; a gaze analysis unit configured to analyze the user's gaze using the visual information and to generate focus control information through a trained focus prediction model; a control unit configured to produce a control signal to adjust the focus of the device based on the focus control information and to receive user feedback on the set focus; and a data learning unit configured to acquire training data for the focus prediction model, detect errors in the focus control information, and update the model by retraining it with the revised data.