CROSS-REFERENCE TO RELATED APPLICATIONS
[0001]
Pursuant to 35 U.S.C. § 119(a), this application claims the benefit of earlier filing date and right of priority to Korean Patent Application No. 10-2019-0100577, filed on Aug. 16, 2019, the contents of which are hereby incorporated by reference herein in its entirety.
BACKGROUND
[0002]
The present disclosure relates to an artificial intelligence moving agent, which is a moving agent capable of object recognition, to train an artificial intelligence model performing the object recognition by using labeling data directly inputted by a user.
[0003]
Artificial intelligence (AI) is one field of computer engineering and information technology for studying a method of enabling a computer to perform thinking, learning, and self-development that can be performed by human intelligence and may denote that a computer imitates an intelligent action of a human.
[0004]
In addition, the artificial intelligence is directly or indirectly associated with other fields of computer engineering without being individually provided. Particularly, at present, in various fields of information technology, an attempt to introduce AI components and use the AI components in solving a problem of a corresponding field is being actively done.
[0005]
Meanwhile, technologies have been actively studied to recognize and learn surrounding situations by using the artificial intelligence, and provide information desired by the user in a desired format or perform operations or functions desired by the user.
[0006]
In addition, an electronic device for providing such various operations and functions may be referred to as an artificial intelligence device.
[0007]
Meanwhile, recently, a robot cleaner in addition to an inherent cleaning function may recognize an object in a space using a mounted camera and may perform an additional function such as collision avoidance, optimal path setting, and crime prevention using the recognition result.
[0008]
Recently, in order to improve performance of the object recognition, various objects have been recognized by using an artificial intelligence model generated using a deep learning algorithm.
[0009]
The artificial intelligence model is released as a product after trained using various objects to set parameters. In addition, the robot cleaner equipped with the artificial intelligence model performs an object recognition function in an indoor space of the user. An object to learn in advance may be different from an object actually existing in the indoor space, and thus, the performance of the object recognition by the artificial intelligence model may be lowered.
SUMMARY
[0010]
To solve the above problems, embodiments provides an artificial intelligence moving agent to train an artificial intelligence model performing the object recognition by using labeling data directly inputted by a user. The artificial intelligence moving agent according to one embodiment includes: a camera configured to photograph an image, and a processor configured to photograph an object, acquire type information of the object by providing an image of the photographed object to an artificial intelligence model, acquire correction type information designated by a user with respect to the image of the photographed object, and train the artificial intelligence model by using the correction type information. The details of one or more embodiments are set forth in the accompanying drawings and the description below. Other features will be apparent from the description and drawings, and from the claims.
BRIEF DESCRIPTION OF THE DRAWINGS
[0011]
FIG. 1 illustrates an AI device 100 according to an embodiment.
[0012]
FIG. 2 illustrates an AI server 200 according to an embodiment.
[0013]
FIG. 3 illustrates an AI system 1 according to an embodiment.
[0014]
FIG. 4A is a perspective view of a robot cleaner according to an embodiment.
[0015]
FIG. 4B illustrates a horizontal angle of view of the robot cleaner of FIG. 4A .
[0016]
FIG. 4C is a front view of the robot cleaner of FIG. 4A .
[0017]
FIG. 4D illustrates a bottom surface of the robot cleaner of FIG. 4A .
[0018]
FIG. 4E is a block diagram illustrating a main parts of the robot cleaner according to an embodiment.
[0019]
FIG. 5 is a view describing a method of operating a moving agent 100 according to the embodiments.
[0020]
FIG. 6 is a view describing a method of generating an artificial intelligence model according to the embodiments.
[0021]
FIGS. 7 and 8 are views describing a method of acquiring type information of an object by photographing the object and by using an image obtained by photographing the object, according to the embodiments.
[0022]
FIG. 9 is a view describing a method of receiving correction type information according to the embodiments.
[0023]
FIG. 10 is a view describing a method of training an artificial intelligence model 810 by using a received feedback.
[0024]
FIG. 11 is a view describing a condition for transmitting the image obtained by photographing the object and type information of the object, according to the embodiments.
[0025]
FIGS. 12 and 13 are views describing a situation of re-training the artificial intelligence model by using a feedback, according to the embodiments.
DETAILED DESCRIPTION OF THE EMBODIMENTS
[0026]
Hereinafter, embodiments of the present disclosure are described in more detail with reference to accompanying drawings and regardless of the drawings symbols, same or similar components are assigned with the same reference numerals and thus overlapping descriptions for those are omitted. The suffixes “module” and “unit” for components used in the description below are assigned or mixed in consideration of easiness in writing the specification and do not have distinctive meanings or roles by themselves. In the following description, detailed descriptions of well-known functions or constructions will be omitted since they would obscure the invention in unnecessary detail. Additionally, the accompanying drawings are used to help easily understanding embodiments disclosed herein but the technical idea of the present disclosure is not limited thereto. It should be understood that all of variations, equivalents or substitutes contained in the concept and technical scope of the present disclosure are also included.
[0027]
It will be understood that the terms “first” and “second” are used herein to describe various components but these components should not be limited by these terms. These terms are used only to distinguish one component from other components.
[0028]
In this disclosure below, when one part (or element, device, etc.) is referred to as being ‘connected’ to another part (or element, device, etc.), it should be understood that the former can be ‘directly connected’ to the latter, or ‘electrically connected’ to the latter via an intervening part (or element, device, etc.). It will be further understood that when one component is re…
