Abstract: Aspects of the disclosed technology provide an Artificial Intelligence Process Control (AIPC) for automatically detecting errors in a manufacturing workflow of an assembly line process, and performing error mitigation through the update of instructions or guidance given to assembly operators at various stations. In some implementations, the disclosed technology utilizes one or more machine-learning models to perform error detection and/or propagate instructions/assembly modifications necessary to rectify detected errors or to improve the product of manufacture.

Abstract: Disclosed is a method and system for providing a camera effect. An effect providing method of an electronic device configured as a computer includes determining an emotion for a camera image of the electronic device as a criterion for selecting an effect to be applied to the camera image of the electronic device; and immediately applying, to the camera image, an effect that is randomly selected from among effects representing the determined emotion.

Abstract: Aspects of the disclosed technology provide an Artificial Intelligence Process Control (AIPC) for automatically detecting errors in a manufacturing workflow of an assembly line process, and performing error mitigation through the update of instructions or guidance given to assembly operators at various stations. In some implementations, the disclosed technology utilizes one or more machine-learning models to perform error detection and/or propagate instructions/assembly modifications necessary to rectify detected errors or to improve the product of manufacture.

Abstract: Disclosed is a method and system for providing a camera effect. An effect providing method of an electronic device configured as a computer includes determining an emotion for a camera image of the electronic device as a criterion for selecting an effect to be applied to the camera image of the electronic device; and immediately applying, to the camera image, an effect that is randomly selected from among effects representing the determined emotion.

Abstract: A home robot device includes a memory, a movement module, and a processor. The processor is configured to execute a motion based on specified motion execution information stored in the memory, obtain feedback information of a user, generate modified motion execution information by modifying at least a portion of the specified motion execution information based on the feedback information of the user, where the modified motion execution information includes a movement value of at least one joint unit of the home robot device or at least one support linked to the at least one joint unit selected from a probability model of the specified motion execution information, and execute a motion of the home robot device based on the modified motion execution information.