• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.23 no.4
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• pp.99-105
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• 2023

In this paper, an intelligent CCTV was designed and experimentally developed by using an IOT device, Raspberry Pi, and artificial intelligence technology. Object Detection technology was used to detect the number of people on the CCTV screen, and Action Detection technology provided by OpenPose was used to detect emergency situations. The proposed system has a structure of CCTV, server and client. CCTV uses Raspberry Pi and USB camera, server uses Linux, and client uses iPhone. Communication between each subsystem was implemented using the MQTT protocol. The system developed as a prototype could transmit images at 2.7 frames per second and detect emergencies from images at 0.2 frames per second.

• Proceedings of the Korea Information Processing Society Conference
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• 2022.11a
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• pp.523-525
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• 2022

CCTV 시스템은 다양한 목적으로 매우 많은 곳에서 유용하게 활용되고 있으나, 해킹 또는 기타의 이유로 사생활 침해에 대한 우려가 커지고 있다. 본 논문에서는 영상의 입수 시점에서부터 사생활침해가 발생할 수 있는 영상 정보를 제거하고, 대신 인공지능 기술을 활용하여 이를 대체할 수 있는 인물의 스켈레톤 정보를 추가로 제공함으로써 사생활 정보를 침해하지 않으면서도 상황을 충분히 인식할 수 있는 CCTV 용 카메라 시스템을 여러 인공지능 알고리즘을 비교하여 설계하였다. 또한 카메라 및 인공지능 기술을 쉽게 사용할 수 있으면서도 주변에서 쉽게 구할 수 있는 안드로이드 스마트폰을 이용하여 설계를 실제 구현한 후 영상의 각 해상도별 초당 처리 성능 및 스켈레톤 인식률 등의 성능을 평가하여 실제로 제품구현 및 제품화 시 중점을 두어야할 주요 개선점 및 향후 연구과제를 도출하였다.

• Journal of Korean Society of Water and Wastewater
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• v.32 no.2
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• pp.193-200
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• 2018

Owing to the development in information and communications technologies have improved the technology for high-speed transmission of massive data, which has changed closed-circuit television (CCTV) video transmission technology. In particular, digitization of the CCTV video format and streaming technology has made it possible to minimize transmission loss and integrate video transmission and camera control(pan/tilt). It has also become possible to provide additional services like remote emergency warning broadcasting with just Internet Protocol (IP). However, because of the structural problems of IP, these changes have also brought about the threat of hacking of CCTV monitoring systems. In this study, we propose a methode to optimize network management by examining cases of enhancement of operational efficiency and security by improving the structure of CCTV monitoring network.

• The Journal of the Korea institute of electronic communication sciences
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• v.3 no.4
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• pp.295-303
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• 2008

Under the obligations which is a protection of privacy and a respect for human rights of each person critical is caused by time about surveillance system and CCTV markets which stagnate during that about 911 terror after that securities about importance raising and direction of a ceremony crime prevention are caused by with world grafting of up-to-date IT technique of domestic and changes with the intelligent style surveillance system which leads and quite from the remote place the dead zone this the image which is photographed the Internet leads and with the intelligent style CCTV surveillance systems will be able to control which area at real-time watch and is embodied.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.9
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• pp.120-125
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• 2016

For the purpose of protecting personal property and lives from incidents, accidents, and threats such as terrorism, video surveillance equipment has been installed and operates in many places. Video surveillance technology has gradually developed into high-quality, high-definition equipment, and a lot of products have been launched. However, closed circuit television (CCTV) equipment for security purposes can invade a person's privacy. In this paper, we propose a way to protect personal video images using meta-data in an intelligent Internet protocol (IP) camera. We designed the system to mask personal video information from meta-data, define the method of image-information access according to user privileges, and show how to utilize the meta-data during storage and recorded data searches. The suggested system complies with guidelines for CCTV installation and operation from Korea's Ministry of the Interior. Installed on only a single server so far, due to the limitations and technical difficulties of hardware performance, it has been difficult to find a method that can be applied to personal image information using real-time protection techniques. Applying the method proposed in this paper can satisfy the guidelines, reduce server costs, and reduce system complexity.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2004.10a
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• pp.809-813
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• 2004

In this paper, we developed a network camera for CMOS camera module inspection. The design, implementation details including embedded linux porting and CPLD logics, and performance of network camera are described. The network camera consists of SoC(S3C4530A), CPLD and CMOS image sensor. In order to image data of CMOS image sensor we designed capture logics on CPLD by using VHDL program. Embedded Linux such as uClinux is performed on the network camera to utilize development environment and TCP/IP protocol specification. The application is based on socket communication between GUI on PC and Embedded Linux based network camera. When JPEG compression is applied, the transmission speed was improved enough for this system to be used for an alternative of expensive CCTV or remote monitoring system in a power plant and uninhabited places.

• Journal of information and communication convergence engineering
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• v.22 no.2
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• pp.109-120
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• 2024

Trash or garbage is one of the most dangerous health and environmental problems that affect pollution. Pollution affects nature, human life, and wildlife. In this paper, we propose modern solutions for cleaning the environment of trash pollution by enforcing strict action against people who dump trash inappropriately on streets, outside the home, and in unnecessary places. Artificial Intelligence (AI), especially Deep Learning (DL), has been used to automate and solve issues in the world. We availed this as an excellent opportunity to develop a system that identifies trash using a deep convolutional neural network (CNN). This paper proposes a real-time garbage identification system based on a deep CNN architecture with eight distinct classes for the training dataset. After identifying the garbage, the CCTV camera captures a video of the individual placing the trash in the incorrect location and sends an alert notice to the relevant authority.

• Journal of Korea Multimedia Society
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• v.21 no.8
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• pp.888-896
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• 2018

In this paper, we report detection and recognition of vehicle logo from images captured from street CCTV. Image data includes both the front and rear view of the vehicles. The proposed method is a two-step process which combines image preprocessing and faster region-based convolutional neural network (R-CNN) for logo recognition. Without preprocessing, faster R-CNN accuracy is high only if the image quality is good. The proposed system is focusing on street CCTV camera where image quality is different from a front facing camera. Using perspective transformation the top view images are transformed into front view images. In this system, the detection and accuracy are much higher as compared to the existing algorithm. As a result of the experiment, on day data the detection and recognition rate is improved by 2% and night data, detection rate improved by 14%.

• Journal of Korea Multimedia Society
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• v.19 no.4
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• pp.681-688
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• 2016

In the intelligent video surveillance, recognizing the moving objects is important issue. However, the conventional moving object recognition methods have some problems, that is, the influence of light, the distinguishing between similar colors, and so on. The recognition methods for the moving objects using depth information have been also studied, but these methods have limit of accuracy because the depth camera cannot measure the depth value accurately. In this paper, we propose a recognition method for the moving objects by using both the depth and the color information. The depth information is used for extracting areas of moving object and then the color information for correcting the extracted areas. Through tests with typical videos including moving objects, we confirmed that the proposed method could extract areas of moving objects more accurately than a method using only one of two information. The proposed method can be not only used in CCTV field, but also used in other fields of recognizing moving objects.

• Proceedings of the Korea Information Processing Society Conference
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• 2015.04a
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• pp.504-505
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• 2015

본 논문은 현재 이슈화 되고 있는 CCTV에서 광역 감시를 위한 지능형 영상보안중 프라이버시 보호기술에 대해 서술한다. 다중 영상 카메라에서는 단일 CCTV에서 일부 지역에 대한 감시를 벗어나 지역과 지역을 연계하여 보다 넓은 지역을 하나의 시스템으로 연동하여 개인 신변의 안전 서비스를 제공하는데 목적을 갖는다. 본 논문에서는 다중 영상 카메라에서 프라이버시 보호 방법으로써 마스킹 기술, 이벤트 탐지 기술, 그리고 연동 기반의 객체 추적 기술, 객체 검색 기술 및 증거영상 생성 기술을 제시한다.