• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2014.10a
• /
• pp.915-916
• /
• 2014

With the upcoming era of internet of things, the study of sensor network has been paid attention. Raspberry pi is a tiny versatile computer system which is able to act as a sensor node in hadoop cluster network. In this paper, we deployed 5 Raspberry pi's to construct an experimental testbed of hadoop sensor network with 5-node map-reduce hadoop software framework. We compared and analyzed the network architecture in terms of efficiency, resource management, and throughput using various parameters. We used a learning machine with support vector machine as test workload. In our experiments, Raspberry pi fulfilled the role of distributed computing sensor node in the sensor network.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2021.10a
• /
• pp.205-207
• /
• 2021

The way to develop an IoT device is to mount the sensor required by the application on a platform such as Arduino or Raspberry Pi, and write the sensor driver and application. At this time, if the driving driver for the sensor has already been written and the application can access the driver as a standardized API, then Plug&Play of the sensor will be possible. The old way to do this is because the sensor interface is too complicated to use on the current platform. In this paper, when a standardized sensor and driver with a USB terminal are plugged into the Raspberry Pi, we propose a method for automatically installing the driver. Application developers can get sensor values through Linux's file access API without worrying about sensor drivers. The proposed technique is currently being implemented on Raspberry-Pi.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2015.10a
• /
• pp.1375-1377
• /
• 2015

초음파센서와 광학먼지센서를 이용하여 라즈베리파이 청소기를 제작하였다. 블루투스 통신을 통해 로봇청소기의 움직임을 제어하고, 초음파센서를 활용하여 장애물의 위치를 파악하며, 광학먼지센서를 이용하여 먼지농도를 파악한 후 이를 활용하여 청소알고리즘을 구현한다. 라즈베리파이와 아두이노를 사용하여 기존의 로봇청소기와는 다른 광학먼지센서를 활용한 개선된 알고리즘 방식으로 로봇청소기를 제어하여 청소의 효율성을 높여주는 효과가 있다.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2021.11a
• /
• pp.167-169
• /
• 2021

본 논문에서는 아두이노와 라즈베리 파이를 기반으로 연동한 스마트 금고 시스템을 제안한다. 기존의 금고와 달리 보안성과 편리성의 취약점을 해결하도록 했다. 아두이노와 라즈베리 파이 기반의 다양한 센서를 이용해 스마트 금고의 보안성과 편리성을 높이도록 제안한다. 구현을 위해 지문인식 센서, RFID 센서, 키 패드, GPS, 충격감지 센서, 파이 카메라, PIR 센서를 사용한다. 또한, 스마트 금고 상태와 조작을 할 수 있는 어플리케이션을 제작해 편리성을 높이도록 했다. 금고 프로토 타입의 외부 재질은 3D 프린팅을 이용하여 제작을 했다.

• The Journal of the Korea institute of electronic communication sciences
• /
• v.17 no.4
• /
• pp.679-686
• /
• 2022

In this paper, we implemented an algae removal device that recognizes and removes algae existing in water using Raspberry Pi camera and DO (Dissolved Oxygen) sensor. The Raspberry Pi board recognizes the color of green algae by converting the RGB values obtained from the camera into HSV. Through this, the location of the algae is identified and when the amount of dissolved oxygen's decrease at the location is more than the reference value using the DO sensor, the algae removal device is driven to spray the algae removal solution. Raspberry Pi's camera uses OpenCV, and the motor movement is controlled according to the output value of the DO sensor and the result of the camera's green algae recognition. Algae recognition and spraying of algae removal solution were implemented through Arduino and Raspberry Pi, and the feasibility of the proposed portable algae removal device was verified through experiments.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2017.05a
• /
• pp.420-421
• /
• 2017

본 논문에서는 라즈베리파이와 가스센서, 파이카메라를 이용해 금연구역을 실시간으로 모니터링하고 관리자가 원할시 파이카메라를 통해 스트리밍 영상을 시청 및 저장하는 시스템을 제안한다. 본 논문에서 제안한 시스템의 주요 특징 및 기여도는 다음과 같다. 첫째, RaspberryPi에 MQ-2(가스센서)를 부착해 복합적인 가스 값을 실시간 측정한다. 둘째, 측정된 세선 값을 기반으로 부저에 신호를 보내 일정 농도가 넘으면 부저가 울리고 스마트폰 App 알림이 울리게 한다. 셋째, 관리자가 원할시 스트리밍으로 현장 영상을 시청 및 저장한다. 제안된 시스템을 사용하여 공공장소에서 흡연으로 인한 불특정 다수에게 생기는 문제를 해결 할 수 있을 것으로 기대된다.

• Journal of Advanced Marine Engineering and Technology
• /
• v.39 no.9
• /
• pp.953-958
• /
• 2015

Raspberry Pi is a credit card-sized computer with support for a large number of input and output peripherals. This makes it the perfect platform for interaction with many different devices and for usage in a wide range of applications. When combined with Wi-Fi, it can communicate remotely, therefore increasing its suitability for the construction of wireless sensor nodes. In addition, data processing and decision-making can be based on artificial intelligence, what is performed in developed testbed on the example of monitoring and determining the confidence of fire. In this paper, we demonstrated the usage of Raspberry Pi as a sensor web node for fire-safety monitoring in a building. When the UV-flame sensors detect a flame as thin as that of a candle, the Raspberry Pi sends a push-message to notify the assigned smartphone of the on-site situation through the GCM server. A mobile app was developed to provide a real-time video streaming service in order to determine a false alarm. If an emergency occurs, one can immediately call for help.

• Journal of Industrial Convergence
• /
• v.20 no.8
• /
• pp.61-67
• /
• 2022

The Internet of Things(IoT) is one of the key technologies in the Fourth Industrial Revolution. The IoT is a system that acquires information from various sensors and provides meaningful information to users. The method of obtaining information from sensor is using WIFI, Bluetooth and Server. is not accessible to external users because of different type of networks or local area communication. For this reason, there is a problem that external user cannot receive notification in regard to sensor information. In this paper, we want to establish a cloud message environment using Google's FCM(Firebase Cloud Messaging) and find out through experiments how users can receive notifications even if they are outside.

• Proceedings of the Korean Society of Computer Information Conference
• /
• 2023.07a
• /
• pp.661-664
• /
• 2023

이 프로젝트의 목표는 공유 공간에서의 고객 이용 시간 관리를 향상하기 위해 라즈베리 파이와 센서 기술을 활용한 자동 시간 체크 시스템의 개발입니다. 이 시스템은 로드셀, 진동 감지 센서, 그리고 LiDAR 센서, 이 세 가지 센서를 활용해 의자에서 사용자의 존재 여부를 감지하고, 사람과 물건을 구별하며, 사용자가 의자에서 일어나는 시점을 파악합니다. 특히, 고객이 의자에 앉게 되면 시스템이 자동으로 시간을 체크하여 실시간으로 이용 시간을 측정하게 됩니다. 이렇게 수집된 정보는 웹 기반의 사용자 인터페이스를 통해 제공되어, 이용 시간 관리가 보다 편리해집니다.

• The Journal of the Korea institute of electronic communication sciences
• /
• v.14 no.6
• /
• pp.1019-1024
• /
• 2019

In this paper, we plan to design and manufacture a new sleeping child check system using image and PIR sensors. Therefore, it plans to implement a system that can prevent in-vehicle accidents that can occur due to presence of human and certain temperature inside the vehicle by collecting data from PIR sensors and temperature sensors with the main control device based on Arduino. In addition, the values of sensors can be linked with Bluetooth communication or Wi-Fi communication to send information to the mobile phone, and the sensor values can be printed by texting on the screen. It also plans to use raspberry pie and camera modules to build a display and smartphone streaming service inside the vehicle. Through this, the objective of this study is to prevent safety accidents in school vehicles by making experiments and research in this paper recognize 100% inside the vehicle with the quantitative goal of PIR sensors.