公开(公告)号：US20250069207A1

公开(公告)日：2025-02-27

申请号：US18781142

申请日：2024-07-23

Applicant: Korea Electronics Technology Institute

Inventor： Ki Woong KWON ,  Seung Hyeon PARK ,  Sang Hun KIM

IPC: G06T5/80 ,  G06T5/20 ,  G06T7/13

Abstract: There are provided a method and a system for CCTV radial distortion estimation with low-complexity. An image distortion estimation method according to an embodiment includes: adding a certain distortion to an inputted image; detecting outlines from the image to which the distortion is added; detecting straight lines from the detected outlines; calculating a sum of the detected straight lines; performing the above operations N times, and determining parameters of an objective function by fitting an ‘objective function resulting from modeling of a sum of detected straight lines caused by an added distortion’ to the N distortions and the N sums; and estimating a distortion on the image by using the objective function the parameters of which are determined. Accordingly, the method does not need a cumbersome process since a separate reference image is not used, and is performed fast due to low-complexity of computation and less resources are required, and furthermore, relatively accurate distortion estimation is possible only with one image.

公开(公告)号：US20250164962A1

公开(公告)日：2025-05-22

申请号：US18951016

申请日：2024-11-18

Applicant: Korea Electronics Technology Institute

Inventor： Seung Hyeon PARK ,  Ki Woong KWON ,  Sang Hun KIM

IPC: G05B19/18

Abstract: Provided are AI-based optimal operation number control system and method for increasing operation efficiency of industrial boilers. A boiler control method according to an embodiment includes: collecting operation data of boilers; deriving operating boiler combinations by inputting the collected operation data to an AI model that is trained to receive operation data and to derive operating boiler combinations; and controlling operation of the boilers according to the derived operating boiler combinations. Accordingly, by analyzing operating conditions changeable according to a schedule of the field and using the operating conditions for deriving a control value, operation efficiency of industrial boilers are increased.

公开(公告)号：US20240191871A1

公开(公告)日：2024-06-13

申请号：US18384202

申请日：2023-10-26

Applicant: Korea Electronics Technology Institute

Inventor： Ki Woong KWON ,  Seung Hyeon PARK ,  Sang Hun KIM ,  Dong Jin YANG

IPC: F22B35/00 ,  F22B35/18

CPC classification number: F22B35/001 ,  F22B35/18

Abstract: There is provided an AI-based air damper control system and method for industrial boilers. An AI-based optimal air damper control method according to an embodiment calculates energy efficiency under a given control condition and an environment by extracting energy efficiency-related data from industrial boiler operational data and analyzing a correlation between corresponding data, trains an AI-based optimal air volume-for-load prediction model by using the extracted data and the calculated energy efficiency as training data, and derives an air volume condition that results in peak energy efficiency under a given load, based on the trained optimal air volume-for-load prediction model, and automatically controls the air damper according to the corresponding air volume condition.