Hanwha Techwin Co., Ltd.

Hanwha Vision Co., Ltd.

Daebong Kim

Youngsang Kwon

Jaewoon Byun

Dongjin Park

Hyun Ho Kim

SangWook Lee

Kyoungjeon Jeong

Seonggon Kim

Kyungeun Lee

Eunyoung Kim

Youngseo Park

Dongseuk Park

Chunwon Lee

Junsik Kim

Jungkyung Lee

Junho Gal

Joohye Noh

Jinhyuk Choi

An image capturing device includes a lens, a lens driver configured to change a focus position by moving the lens, an image sensor configured to detect light passed through the lens, and a focus controller configured to control, based on an image generated by the image sensor, the lens driver to adjust the focus position. The focus controller is further configured to: monitor a feature change of a saturated object having an intensity greater than or equal to a threshold value, in each of a plurality of regions of an image, by adjusting the focus position; and adjust the focus position based on a trend of the feature change of the saturated object while the focus position is changed in a direction.

Image capturing device for performing autofocus

Provided is an operating method for an artificial intelligence (AI) camera that communicate with at least one another AI camera, the operating method including: configuring a cluster for the image analysis together with other AI camera by exchanging registration information with the other AI camera; sharing, with the other AI camera, registration information about normal cameras used to access the normal cameras; receiving, based on one of the normal cameras being allocated to AI camera, an image captured by the allocated normal camera by accessing the allocated normal camera; analyzing the received image using an AI processor in the AI camera; and transmitting a result of the analyzing the received image together with an identifier of the allocated normal camera to an external device.

Camera analyzing images on basis of artificial intelligence, and operating method therefor

An image capturing device including: a lens; a lens driver configured to change a focus position by moving the lens; an image sensor configured to acquire an image signal from light having passed through the lens; a calculator configured to output a focus value determined by passing the image signal from the image sensor through a frequency filter; and a focus controller configured to control the lens driver to move the lens, based on focus values corresponding to focus positions of the lens. The focus controller may receive one or more focus values from the calculator when the lens is positioned at one or more focus positions among the focus positions, and estimate a focus value of another focus position among the focus positions based on the one or more focus positions and the one or more focus values.

Image capturing device and method to perform autofocus

An optimal zooming speed determining device includes: a storage to store a zooming speed at each position of a zoom lens; a tracking implementer to calculate a position of the zoom lens changed in a unit time at a zooming speed at each position of the zoom lens; a moving time calculator to calculate a difference between a position of a focus lens corresponding to a position of the zoom lens before the position of the zoom lens is changed and a position of the focus lens corresponding to the changed position of the zoom lens, and calculate a focus moving time by dividing the difference between positions of the focus lens by a highest moving speed of the focus lens; and a zooming speed determiner to reduce the zooming speed at each position of the zoom lens, if the focus moving time is greater than the unit time.

Apparatus and method for finding optimal zooming speed

Provided is an improved zoom-tracking method. A point or two points between a Wide point and a Tele point are chosen, histogram information is stored, and a distance to a subject is estimated based on the stored histogram information. A locus curve is selected based on the estimated distance to the subject, and zoom-tracking is performed along the locus curve after a zoom lens reaches a specific point.

Zoom-tracking method performed by imaging apparatus

An auto-focusing method includes dividing an image into a plurality of blocks, performing discrete cosine transform (DCT) on image data of the plurality of blocks to output a plurality of DCT blocks each comprising DCT coefficients, generating a DCT mask for selecting DCT coefficients corresponding to a selected frequency range in a DCT block among the plurality of DCT blocks, and calculating a focus value of the image by applying the generated DCT mask to the DCT block.

Auto-focusing system and method

Growing community of inventors

Changwon-si, South Korea

Daebong Kim