• Title/Summary/Keyword: 카메라 애플리케이션

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Violence Recognition using Deep CNN for Smart Surveillance Applications (스마트 감시 애플리케이션을 위해 Deep CNN을 이용한 폭력인식)

  • Ullah, Fath U Min;Ullah, Amin;Muhammad, Khan;Lee, Mi Young;Baik, Sung Wook
    • The Journal of Korean Institute of Next Generation Computing
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    • v.14 no.5
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    • pp.53-59
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    • 2018
  • Due to the recent developments in computer vision technology, complex actions can be recognized with reasonable accuracy in smart cities. In contrast, violence recognition such as events related to fight and knife, has gained less attention. The capability of visual surveillance can be used for detecting fight in streets or in prison centers. In this paper, we proposed a deep learning-based violence recognition method for surveillance cameras. A convolutional neural network (CNN) model is trained and fine-tuned on available benchmark datasets of fights and knives for violence recognition. When an abnormal event is detected, an alarm can be sent to the nearest police station to take immediate action. Moreover, when the probabilities of fight and knife classes are predicted very low, this situation is considered as normal situation. The experimental results of the proposed method outperformed other state-of-the-art CNN models with high margin by achieving maximum 99.21% accuracy.

Deep Learning Based On-Device Augmented Reality System using Multiple Images (다중영상을 이용한 딥러닝 기반 온디바이스 증강현실 시스템)

  • Jeong, Taehyeon;Park, In Kyu
    • Journal of Broadcast Engineering
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    • v.27 no.3
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    • pp.341-350
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    • 2022
  • In this paper, we propose a deep learning based on-device augmented reality (AR) system in which multiple input images are used to implement the correct occlusion in a real environment. The proposed system is composed of three technical steps; camera pose estimation, depth estimation, and object augmentation. Each step employs various mobile frameworks to optimize the processing on the on-device environment. Firstly, in the camera pose estimation stage, the massive computation involved in feature extraction is parallelized using OpenCL which is the GPU parallelization framework. Next, in depth estimation, monocular and multiple image-based depth image inference is accelerated using the mobile deep learning framework, i.e. TensorFlow Lite. Finally, object augmentation and occlusion handling are performed on the OpenGL ES mobile graphics framework. The proposed augmented reality system is implemented as an application in the Android environment. We evaluate the performance of the proposed system in terms of augmentation accuracy and the processing time in the mobile as well as PC environments.

Development of Application to guide Putting Aiming using Object Detection Technology (객체 인지 기술을 이용한 퍼팅 조준 가이드 애플리케이션 개발)

  • Jae-Moon Lee;Kitae Hwang;Inhwan Jung
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.23 no.2
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    • pp.21-27
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    • 2023
  • This paper is a study on the development of an app that assists in putting alignment in golf. The proposed app measures the position and size of the hole cup on the green to provide the distance between the hole cup and the aiming point. To achieve this, artificial intelligence object recognition technology was applied in the development process. The app measures the position and size of the hole cup in real-time using object recognition technology on the camera image of the smartphone. The app then displays the distance between the aiming point and the hole cup on the camera image to assist in putting alignment. The proposed app was developed for iOS on the iPhone. Performance testing of the developed app showed that it could sufficiently recognize the hole cup in real-time and accurately display the distance to provide helpful information for putting alignment.

Stereoscopic Depth Fidelity: New Reference For Making Effective and Natural Stereoscopic 3D Content (효과적인 3D 콘텐츠 제작을 위한 참조지표 - 입체충실도)

  • Park, Byung-Jin;Jung, Jae-Woo;Park, Sung-Hwan
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2012.11a
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    • pp.92-95
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    • 2012
  • 대한민국에서 3DTV 방송서비스는 더 이상 '미래방송서비스'가 아니다. EBS는 올해 4월 지상파 DTV 주파수에서 세계최초로 2D/3D 혼용방송서비스를 실시하였으며, 오는 10월 15일에는 APC(Automatic Program Controller)와 연동하여 방송스케줄에 따라 자동으로 3D 방송을 송출하는 시스템을 구축하여 2차 시범방송을 진행할 예정이다. 이렇게 3D 방송을 위한 기술적 준비는 차근차근 이루어지고 있음에 반하여, 3D 방송서비스에 대한 시청자의 호응은 그다지 크지 않다. 이것은 방송되는 3D 콘텐츠의 양과 질이 부족하기 때문으로 풀이된다. 이 같은 3D 방송서비스의 장애요소에 착안하여, 본 논문에서는 3D 콘텐츠 제작효율을 높이고, 만들어지는 3D 방송콘텐츠의 품질을 높이기 위한 하나의 방법으로서, 제작현장에서 활용할 수 있는 3D 콘텐츠 제작과 밀접한 관련이 있는 새로운 참조지표인 '입체충실도(Depth Fidelity)'를 정의하여 제안하고자 한다. 입체충실도를 도출하기 위해 우선 양안식(兩眼式) 3D 입체영상의 특징을 분석하였고, 시청자 체감 가상깊이를 계산하여 활용하였다. 또한 연구를 통해 도출한 입체충실도 계산 알고리즘이 적용된 EBS 입체계산기(Stereoscopic Calculator) 애플리케이션을 개발하여 안드로이드 스마트폰에서 이용할 수 있도록 함으로써, 카메라감독과 프로듀서 등 방송제작 현업 스태프들이 연구결과를 활용할 수 있도록 했다.

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An Automatic Parking Space Identification System using Deep Learning Techniques (딥러닝 기법을 이용한 주차 공간 자동 식별 시스템)

  • Seo, Min-Gyung;Ohm, Seong-Yong
    • The Journal of the Convergence on Culture Technology
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    • v.7 no.4
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    • pp.635-640
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    • 2021
  • In this paper, we describe a parking space identification system that can automatically identify empty parking lot spaces from a parking lot photo. This system is based on a deep learning technique, and the accuracy of the identification result is good by learning various existing parking lot images. It could be applied to the existing parking management system. This system was also developed as a smartphone application for easy testing. Therefore, if you take a picture of a parking lot through a smartphone camera, the captured image is automatically recognized and an empty parking space can be automatically identified.

Remotely Controllable Smart Door Lock (원격 제어가 가능한 스마트 도어락)

  • Choi, Duk-Kyu;Lee, Sang-Bin;Park, Jin-Sol;Kwon, Yong-Min;Kim, Jun-Bin;Kwon, Min-Ji;Jang, Jae-Min;Jeong, woo-won
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2020.07a
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    • pp.261-262
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    • 2020
  • 현대에 흔히 쓰이는 도어락은 안전과 보안등의 목적과 편리함을 목적에 두고 있다. 실제로 그전에 쓰던 열쇠보다 더 편리하고 분실염려도 없고 복제키 등으로 인한 사건, 사고로 인한 범죄율이 줄어들었다. 도어락은 사용자가 손으로 직접 비밀번호를 입력하여 잠금을 해제하는 방식이고 이 과정에서 도어락에 지문이나 표시가 남으며 비밀번호가 주위에 쉽게 노출될 수 있다. 본 논문은 위의 문제를 해결하기 위해 아두이노로 라즈베리파이와 앱을 무선 통신하여 '원격 제어가 가능한 스마트 도어락'을 고안했다. 아두이노 와이파이 모듈을 통해 스마트폰으로 도어락을 원격으로 제어할 수 있으며 라즈베리파이 카메라 모듈과 초음파 센서를 통해 도어락에 접근하는 사람을 감지하고 확인할 수 있다. 이 기능으로 범죄를 예방할 수 있으며 자녀들의 귀가 여부도 확인할 수 있고 문을 열어줘야 할 상황에 비밀번호 노출없이 문을 열어줄 수 있다.

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Development of Authentication Service Model Based Context-Awareness for Accessing Patient's Medical Information (환자 의료정보 접근을 위한 상황인식 기반의 인증서비스 모델 개발)

  • Ham, Gyu-Sung;Joo, Su-Chong
    • Journal of Internet Computing and Services
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    • v.22 no.1
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    • pp.99-107
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    • 2021
  • With the recent establishment of a ubiquitous-based medical and healthcare environment, the medical information system for obtaining situation information from various sensors is increasing. In the medical information system environment based on context-awareness, the patient situation can be determined as normal or emergency using situational information. In addition, medical staff can easily access patient information after simple user authentication using ID and Password through applications on smart devices. However, these services of authentication and patient information access are staff-oriented systems and do not fully consider the ubiquitous-based healthcare information system environment. In this paper, we present a authentication service model based context-awareness system for providing situational information-driven authentication services to users who access medical information, and implemented proposed system. The authentication service model based context-awareness system is a service that recognizes patient situations through sensors and the authentication and authorization of medical staff proceed differently according to patient situations. It was implemented using wearables, biometric data measurement modules, camera sensors, etc. to configure various situational information measurement environments. If the patient situation was emergency situation, the medical information server sent an emergency message to the smart device of the medical staff, and the medical staff that received the emergency message tried to authenticate using the application of the smart device to access the patient information. Once all authentication was completed, medical staff will be given access to high-level medical information and can even checked patient medical information that could not be seen under normal situation. The authentication service model based context-awareness system not only fully considered the ubiquitous medical information system environment, but also enhanced patient-centered systematic security and access transparency.

Digilog Book Interaction Design Using Augmented Reality(AR) (Focused on Children's Books) (증강현실(AR)을 활용한 디지로그 북 인터랙션디자인 연구 (아동 서적물 중심으로))

  • Jung, Yong-Won;Ju, Min-Kyung;Kim, Yong-Ho
    • Journal of Digital Convergence
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    • v.18 no.6
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    • pp.425-433
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    • 2020
  • Digilog book using augmented reality is a form that augmented reality is implemented by illuminating the camera embedded in the mobile image on the page registered as an image marker after downloading the application, which shows a fragmentary limitation in the content implementation method. Therefore, in this study, we proposed a pop-up multi-tracking method that enables two-way interaction in a digit log book using augmented reality technology. Through this, we commissioned an authorized agency to test the technical differentiation of augmented reality content for two prototypes of existing book-type Digilog Book and Pop-up-type Digilog Book. A test report was issued. The pop-up type digit log book suggested in this study enables the user to implement the interactive contents according to the user's action (movement). This can induce the interaction between the virtual image and the printed picture book and give the learner an interest and immersion, so that it is possible to express the interaction of the digital log book.

Evaluation of Particle Counting by Smartphone-based Fluorescence Smartscope and Particle Positioning in Spinning Helical Channel (스마트폰 기반 형광 smartscope의 입자계수 및 회전하는 나선형 채널의 입자정렬 성능 평가)

  • Park, Eunjung;Kim, Subin;Cho, Myoung-Ock;Kim, Kyunghoon;Shourav, Mohiuddin Khan;Kim, Sunwook;Lee, Jeonghoon;Kim, Jung Kyung
    • Journal of Korea Society of Industrial Information Systems
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    • v.20 no.3
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    • pp.19-28
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    • 2015
  • With the aim of developing a smartphone-based point-of-care device that is small, inexpensive, and easy to handle by non-expert, we designed a fluorescence smartscope for counting particles and a DC motor-controlled particle positioning system. Our smartscope can count the number of fluorescent particles and fluorescently-stained white blood cells through a phone camera with an adaptor containing a LED, a ball lens and optical filters and an application running on a smartphone. The motor was controlled wirelessly via Bluetooth with an Android smartphone. We found that axial spinning of a helical microfluidic channel allows arrangement of particles having size similar to the white blood cells. The motor-controlled particle positioning system can minimize time-consuming manual processes and automate sample preparation process and thus, if integrated with the smartscope, it can be used for a point-of-care testing device based on a smartphone.

Monitoring system for grain sorting using embedded Linux-based servers and Web applications (임베디드 리눅스 기반의 서버와 웹 어플리케이션을 이용한 곡물 선별 모니터링 시스템)

  • Park, Se-hyun;Geum, Young-wook;Kim, Hyun-jae
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.20 no.12
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    • pp.2341-2347
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    • 2016
  • In this paper, we implement monitoring system for grain sorting using a high-speed FPGA and embedded LINUX. The proposed system is designed by base on web server and web-based applications while existing system was designed by base on stand-alone mode.The interface the Web server with high speed hardware of FPGA is designed on the implemented monitoring system. The proposed system has the advantages of multi-tasking on Linux web server and real-time high speed on FPGA also. The control logic of a high speed rate line-scan CCD camera, the method of center of gravity, HSL decoding and the interface on the Web server are implemented in FPGA. The implemented monitoring system has the advantage of being able to control the grain monitoring, system failure and recovery remotely by web application. As a result, we can upgrade the performance of sorting quality compared by existing system.