Abstract: Provided is a positive electrode active material which includes an inner region that is a region from the center of the positive electrode active material particle to R/2, and an outer region that is a region from R/2 to the surface of the positive electrode active material particle, wherein R is a distance from the center of the positive electrode active material particle to the surface thereof. The positive electrode active material further includes 25% to 80% of crystallites C with respect to a total number of crystallites in the outer region. The crystallites C have a high crystallite long-axis orientation degree of 0.5 to 1 and a low crystallite c-axis orientation degree less than 0.5. Thus, the positive electrode active material has high capacity characteristics and a small amount of gas generated.

Abstract: Provided is a positive electrode active material which includes an inner region that is a region from the center of the positive electrode active material particle to R/2; and an outer region that is a region from R/2 to the surface of the positive electrode active material particle, wherein R is a distance from the center of the positive electrode active material particle to the surface thereof. The positive electrode active material further includes 30% to 80% of crystallites A with respect to a total number of crystallites in the outer region of the positive electrode active material, the crystallites A having high crystallite long-axis orientation degree and crystallite c-axis orientation degree. Thus, the positive electrode active material can achieve excellent capacity characteristics and service life characteristics.

Abstract: A vehicle parking assistance device includes an image sensing device, an artificial intelligence learning device, and a controller connected with the image sensing device and the artificial intelligence learning device. The controller is configured to obtain an image using the image sensing device, detect at least one parking line pair in the obtained image, detect a parking slot based on deep learning, detect a parking area based on the detected parking slot and the at least one detected parking pair, detect an entrance point for the parking area, and generate parking information based on the parking area and the entrance point.

Abstract: The present invention relates to a method and a device for determining structural progression of an eye disease using an ocular image. According to an embodiment of the present invention, a device for determining structural progression of an eye disease includes a processor, and a memory electrically connected to the processor, wherein, when the processor is executed, the memory stores instructions for obtaining a first-nth ocular image, which is an nth first ocular image for a user (where n is a natural number), obtaining a second-nth ocular image, which is an nth second ocular image for the user, combining the first-nth ocular image and the second-nth ocular image according to a preset method to generate an nth combined image, and generating an nth eye disease image for the user by using the nth combined image and a preset prone area image.

Abstract: A vehicle parking assistance device includes an image sensing device, an artificial intelligence learning device, and a controller connected with the image sensing device and the artificial intelligence learning device. The controller is configured to obtain an image using the image sensing device, detect at least one parking line pair in the obtained image, detect a parking slot based on deep learning, detect a parking area based on the detected parking slot and the at least one detected parking pair, detect an entrance point for the parking area, and generate parking information based on the parking area and the entrance point.

Abstract: Disclosed is an eyeball movement analysis system. The eyeball movement analysis system includes an image capturing unit configured to acquire a first image of an eyeball at a reference location and acquire a second image of the eyeball at a moved location, and an eyeball movement analyzing unit configured to calculate a rotational angle of the eyeball and a translational distance of the eyeball in a process of moving the eyeball from the reference location to the moved location through comparison of the first image and the second image.

Abstract: Disclosed is an eyeball movement analysis system. The eyeball movement analysis system includes an image capturing unit configured to acquire a first image of an eyeball at a reference location and acquire a second image of the eyeball at a moved location, and an eyeball movement analyzing unit configured to calculate a rotational angle of the eyeball and a translational distance of the eyeball in a process of moving the eyeball from the reference location to the moved location through comparison of the first image and the second image.

Abstract: A method of recognizing a contactless fingerprint is provided. The method includes displaying a guide screen for recognizing the contactless fingerprint on a display, receiving an input image of a target object positioned according to the guide screen by using a camera, and determining whether the received input image is suitable for fingerprint recognition.

Abstract: A method of recognizing a contactless fingerprint is provided. The method includes displaying a guide screen for recognizing the contactless fingerprint on a display, receiving an input image of a target object positioned according to the guide screen by using a camera, and determining whether the received input image is suitable for fingerprint recognition.