KR20240049048A - 엣지 cctv를 위한 엣지 ai 모델 생성 방법 및 시스템 - Google Patents
엣지 cctv를 위한 엣지 ai 모델 생성 방법 및 시스템 Download PDFInfo
- Publication number
- KR20240049048A KR20240049048A KR1020220129119A KR20220129119A KR20240049048A KR 20240049048 A KR20240049048 A KR 20240049048A KR 1020220129119 A KR1020220129119 A KR 1020220129119A KR 20220129119 A KR20220129119 A KR 20220129119A KR 20240049048 A KR20240049048 A KR 20240049048A
- Authority
- KR
- South Korea
- Prior art keywords
- edge
- cctv
- model
- analysis result
- data set
- Prior art date
Links
- 238000000034 method Methods 0.000 title claims abstract description 28
- 238000004458 analytical method Methods 0.000 claims abstract description 68
- 238000010191 image analysis Methods 0.000 claims abstract description 36
- 230000008685 targeting Effects 0.000 claims abstract description 3
- 238000004891 communication Methods 0.000 claims description 20
- 238000001514 detection method Methods 0.000 claims description 12
- 230000006870 function Effects 0.000 claims description 12
- 238000009434 installation Methods 0.000 claims description 5
- 238000013528 artificial neural network Methods 0.000 description 5
- 230000008901 benefit Effects 0.000 description 5
- 238000004422 calculation algorithm Methods 0.000 description 5
- 238000005516 engineering process Methods 0.000 description 4
- 230000008569 process Effects 0.000 description 4
- 238000013473 artificial intelligence Methods 0.000 description 2
- 238000013527 convolutional neural network Methods 0.000 description 2
- 238000013135 deep learning Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 230000007774 longterm Effects 0.000 description 2
- 238000010801 machine learning Methods 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 238000002360 preparation method Methods 0.000 description 2
- 230000004044 response Effects 0.000 description 2
- 238000012549 training Methods 0.000 description 2
- 241001112258 Moca Species 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 238000004590 computer program Methods 0.000 description 1
- 238000013480 data collection Methods 0.000 description 1
- 238000013500 data storage Methods 0.000 description 1
- 230000009545 invasion Effects 0.000 description 1
- 239000004973 liquid crystal related substance Substances 0.000 description 1
- 238000007726 management method Methods 0.000 description 1
- 230000001151 other effect Effects 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 230000000306 recurrent effect Effects 0.000 description 1
Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
- G06V10/77—Processing image or video features in feature spaces; using data integration or data reduction, e.g. principal component analysis [PCA] or independent component analysis [ICA] or self-organising maps [SOM]; Blind source separation
- G06V10/774—Generating sets of training patterns; Bootstrap methods, e.g. bagging or boosting
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N20/00—Machine learning
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/40—Scenes; Scene-specific elements in video content
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/40—Scenes; Scene-specific elements in video content
- G06V20/46—Extracting features or characteristics from the video content, e.g. video fingerprints, representative shots or key frames
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/56—Context or environment of the image exterior to a vehicle by using sensors mounted on the vehicle
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
- H04N21/44—Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream or rendering scenes according to encoded video stream scene graphs
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
- H04N21/44—Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream or rendering scenes according to encoded video stream scene graphs
- H04N21/44008—Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream or rendering scenes according to encoded video stream scene graphs involving operations for analysing video streams, e.g. detecting features or characteristics in the video stream
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
- H04N7/181—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast for receiving images from a plurality of remote sources
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Multimedia (AREA)
- General Physics & Mathematics (AREA)
- Physics & Mathematics (AREA)
- Software Systems (AREA)
- Evolutionary Computation (AREA)
- Medical Informatics (AREA)
- Computing Systems (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Artificial Intelligence (AREA)
- Signal Processing (AREA)
- General Engineering & Computer Science (AREA)
- Data Mining & Analysis (AREA)
- Mathematical Physics (AREA)
- Health & Medical Sciences (AREA)
- Databases & Information Systems (AREA)
- General Health & Medical Sciences (AREA)
- Image Analysis (AREA)
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| KR1020220129119A KR20240049048A (ko) | 2022-10-07 | 2022-10-07 | 엣지 cctv를 위한 엣지 ai 모델 생성 방법 및 시스템 |
| PCT/KR2023/010760 WO2024075950A1 (fr) | 2022-10-07 | 2023-07-25 | Procédé et système de génération de modèle d'ia embarquée pour cctv embarquée |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| KR1020220129119A KR20240049048A (ko) | 2022-10-07 | 2022-10-07 | 엣지 cctv를 위한 엣지 ai 모델 생성 방법 및 시스템 |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| KR20240049048A true KR20240049048A (ko) | 2024-04-16 |
Family
ID=90608638
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| KR1020220129119A KR20240049048A (ko) | 2022-10-07 | 2022-10-07 | 엣지 cctv를 위한 엣지 ai 모델 생성 방법 및 시스템 |
Country Status (2)
| Country | Link |
|---|---|
| KR (1) | KR20240049048A (fr) |
| WO (1) | WO2024075950A1 (fr) |
Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20210096405A (ko) | 2020-01-28 | 2021-08-05 | 한국전자통신연구원 | 사물 학습모델 생성 장치 및 방법 |
Family Cites Families (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR101850286B1 (ko) * | 2017-06-27 | 2018-04-19 | 한국기술교육대학교 산학협력단 | 딥 러닝 기반 cctv용 영상 인식 방법 |
| KR102293431B1 (ko) * | 2019-10-29 | 2021-08-25 | 주식회사 디비엔텍 | Cctv 관제 시스템 업데이트 방법 및 cctv 관제 시스템 업데이트 장치 |
| KR102340644B1 (ko) * | 2020-04-29 | 2021-12-20 | 주식회사 디케이아이테크놀로지 | 인공지능형 토탈 보안관제 서비스시스템 |
| KR102152237B1 (ko) * | 2020-05-27 | 2020-09-04 | 주식회사 와치캠 | 상황 분석 기반의 cctv 관제 방법 및 시스템 |
| KR20220055512A (ko) * | 2020-10-26 | 2022-05-04 | 한국전자기술연구원 | 딥러닝 모델의 가변적 운용이 가능한 인공지능 cctv |
-
2022
- 2022-10-07 KR KR1020220129119A patent/KR20240049048A/ko unknown
-
2023
- 2023-07-25 WO PCT/KR2023/010760 patent/WO2024075950A1/fr unknown
Patent Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20210096405A (ko) | 2020-01-28 | 2021-08-05 | 한국전자통신연구원 | 사물 학습모델 생성 장치 및 방법 |
Also Published As
| Publication number | Publication date |
|---|---|
| WO2024075950A1 (fr) | 2024-04-11 |
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