Hanwha Techwin Co., Ltd.

Hanwha Vision Co., Ltd.

Dae Bong Kim

Young Sang Kwon

Dong Jin Park

Young Mi Kim

Jong In Park

Ki Bum Park

Cheol Ho Kim

Ho Young Lee

Han Sang Kim

Young Sub Kim

Sang Wook Lee

Jae Woon Byun

Dong Seong Kim

Hee Joong Han

Ku Hyeon Jeong

Joon Chan Park

Jung Suk Oh

Sang Hyun Cho

Jae Goo Lee

Ali Hussain

Yunhee Lee

An image noise learning server includes an image input interface configured to receive training images, and at least one processor configured to control an image extractor to extract, from the training images, a first image including a stationary object and a second image including a moving object, a noise filter to obtain a third image by applying noise filtering with a first intensity to the second image, the third image including the moving object, a labeling unit to determine an intensity of a side effect based on a difference between the stationary object included in the first image and the moving object included in the third image, and a machine learning unit to receive, as a label, the determined intensity of the side effect and image attributes of the training images, and obtain artificial intelligence (AI) parameters by performing machine learning on the second image based on the received label.

Machine learning-based image noise learning server and image noise reduction device

A monitoring system includes a camera module configured to photograph a subject, a laser distance sensor configured to sense a distance to the subject, the laser distance sensor being arranged in a line with the camera module, and a processor configured to acquire a first angle and a first sensing value of the laser distance sensor in response to an event, calculate a first distance between the camera module and the subject by using the first angle and the first sensing value, calculate a second angle by using the first distance, a laser angle of view of the laser distance sensor, and a laser angle of view length of the laser distance sensor, rotate the laser distance sensor up to the second angle when a difference between the first angle and the second angle exceeds a predetermined range, and acquire a second sensing value of the laser distance sensor.

Monitoring system and operation method thereof

A method of creating a privacy mask from an image imaged by an imaging device in which a rotation axis of a camera and a center of a lens do not match includes measuring a distance from the camera to an object in a first imaging condition; creating a first mask for the object, and storing the distance together with the first mask; and creating a second mask for the object in a second imaging condition and correcting a position of the second mask using the first mask and the distance, wherein an imaging angle of the camera the first imaging condition is same as the imaging angle of the camera in the second imaging condition, and wherein a position of the lens in the first imaging condition is reversed around the rotation axis from a position of the lens in the second imaging condition.

Method for optimizing privacy mask of camera with panning and tilting control and imaging device with privacy mask optimization applied

Provided is an optical device including an optics including at least two moving groups that are movable along an optical axis and share portions of driving regions; a plurality of actuators configured to move the at least two moving groups along the optical axis, respectively; and a control unit configured to control the positions of the at least two moving groups by operating the actuators, wherein the control unit moves the at least two moving groups independently, such that the position coordinates of the at least two moving groups in one integrated coordinates system do not coincide with each other.

Optical device and driving control method of optical device

A method of correcting an optical axis of a zoom lens includes obtaining a degree of optical axis misalignment corresponding to a current zoom lens state of a camera, considering the current zoom lens state of the camera and data previously stored to define a relationship between a state of the zoom lens of the camera and the degree of optical axis misalignment, determining digital zoom information to compensate for the degree of optical axis misalignment, considering the degree of optical axis misalignment, and generating correction image data by cropping and magnifying image data photographed by the camera to correspond to the digital zoom information.

Method, apparatus, and computer program for correcting optical axis of zoom lens

A zoom tracking method performed by a control unit of a zoom camera includes operations (a) through (c). In operation (a), the control unit determines a focusing progress state at a time when a zooming start signal is received. In operation (b), the control unit narrows an estimated range of a subject distance or estimates the subject distance, according to the focusing progress state. In operation (c), the control unit performs focusing for a zoom magnification according to the narrowed estimated range or the estimated subject distance.

Zoom tracking method and zoom camera

A method of controlling panning of a surveillance camera configured to perform panning over a set angle during a preset mode includes: obtaining an edge value with respect to each pixel of an object captured image of a panning-completed time, the edge value being a difference between brightness of a left adjacent pixel thereof and brightness of a right adjacent pixel thereof; obtaining an object vertical-line number among vertical pixel lines of the object captured image, the object vertical-line number being a number of a vertical pixel line in which a sum of the edge values is largest; and correcting the panning such that the object vertical-line number coincides with a reference vertical-line number corresponding to the panning over the set angle.

Method of controlling panning and tilting of surveillance camera using edge value

A monitoring system according to the present embodiment comprises a surveillance camera and a monitoring device. The surveillance camera transmits information on an operation environment thereof to the monitoring device. The monitoring device periodically predicts a future breakdown date of at least one component according to the information on the operation environment of the surveillance camera and characteristic information on the al least one component of the surveillance camera, and provides a warning when the future breakdown date of the prediction result is within a predetermined period from a current date.

Predictive diagnostic device and monitoring system

A method of rotating a surveillance camera having an acceleration sensor and being controllable by a processor to maintain a tilt-angle to conform to a command tilt-angle, includes the steps of moving the surveillance camera tilt to a predetermined command tilt-angle in response to a signal from the processor; periodically calculating estimated tilt-angles by using acceleration values in at least one axis of an acceleration sensor; calculating a difference value between an estimated tilt-angle of a current period and an estimated tilt-angle of a previous period; and when the difference value between the estimated tilt-angles exceeds a set limit, moving the camera to another position to correct the tilt angle according to the difference calculate.

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Seongnam-si, South Korea

Dae Bong Kim