Home smart motion system assisted by multi-sensor

被引:3
|
作者
Gu, Zhiming [1 ]
机构
[1] Jiaxing Vocat & Tech Coll, Basic Educ Dept, Jiaxing 314000, Zhejiang, Peoples R China
关键词
Motion detection; Raspberry pi; Passive infrared sensor (pir sensor); Email server; Internet of Things (IOT);
D O I
10.1016/j.micpro.2020.103591
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
The development of embedded systems has been demonstrated in a reliable solution for a motion detection system, so motion detection is one of the key technologies in surveillance. Focuses on the use wherein detecting A Passive Infrared sensor (PIR sensor) for unauthorised activity on low for multisensory computing system captures an image "Raspberry Pi," to improve motion detection. The System is suitable for the small personal area of intelligent home monitoring system assisted motion, the car park entrance whenever the PIR sensor and camera detect motion to capture an image by storing a raspberry PI module, then sent to the email server. Internet of Things (IOT) applications for informed and view the image movement occurs via email server via the Internet; therefore, the System provides the IOT to use an innovative method to detect theft. A motion sensor uses one or multiple technologies to detect movement in an area. When a sensor detects motion, it sends a signal to the security system's control panel, which connects to the monitoring center. Some units combine motion sensors and light sensors, but their photocells don't turn the lights on when the sun goes down. When paired with motion detectors, photocells keep lights off during daylight hours. Also, adjust these fixtures to allow the motion sensors to work all-day.
引用
收藏
页数:6
相关论文
共 50 条
  • [1] An UAV assisted Multi-Sensor based Smart Parking System
    Gogoi, Pritom
    Dutta, Joy
    Matam, Rakesh
    Mukherjee, Mithun
    [J]. IEEE INFOCOM 2020 - IEEE CONFERENCE ON COMPUTER COMMUNICATIONS WORKSHOPS (INFOCOM WKSHPS), 2020, : 1225 - 1230
  • [2] Smart assisted diagnosis solution with multi-sensor Holter
    Bie, Rongfang
    Zhang, Guangzhi
    Sun, Yunchuan
    Xu, Shuaijing
    Li, Zhuorong
    Song, Houbing
    [J]. NEUROCOMPUTING, 2017, 220 : 67 - 75
  • [3] Multi-sensor dataset of human activities in a smart home environment
    Chimamiwa, Gibson
    Alirezaie, Marjan
    Pecora, Federico
    Loutfi, Amy
    [J]. DATA IN BRIEF, 2021, 34
  • [4] A Pervasive Multi-sensor Data Fusion for Smart Home Healthcare Monitoring
    Medjahed, Hamid
    Istrate, Dan
    Boudy, Jerome
    Baldinger, Jean-Louis
    Dorizzi, Bernadette
    [J]. IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ 2011), 2011, : 1466 - 1473
  • [5] Multi-sensor switch technique in multi-sensor system
    Liu, YH
    Chen, WD
    Wang, DJ
    [J]. INES 2005: 9TH INTERNATIONAL CONFERENCE ON INTELLIGENT ENGINEERING SYSTEMS, 2005, : 83 - 86
  • [6] Towards a Smart Multi-Sensor Ionizing Radiation Monitoring System
    Andjelkovic, Marko
    Chen, Junchao
    Syed, Rizwan Tariq
    Vargas, Fabian
    Ulbricht, Markus
    Krstic, Milos
    Ilic, Stefan
    Marjanovic, Milos
    Veljkovic, Sandra
    Mitrovic, Nikola
    Dankovic, Danijel
    Ristic, Goran
    Duane, Russell
    Vasovic, Nikola
    Jaksic, Aleksandar
    Palma, Alberto J.
    Lallena, Antonio M.
    Carvajal, Miguel A.
    [J]. 2023 26TH EUROMICRO CONFERENCE ON DIGITAL SYSTEM DESIGN, DSD 2023, 2023, : 286 - 293
  • [7] Deep Neural Networks for Activity Recognition with Multi-Sensor Data in a Smart Home
    Park, Jiho
    Jang, Kiyoung
    Yang, Sung-Bong
    [J]. 2018 IEEE 4TH WORLD FORUM ON INTERNET OF THINGS (WF-IOT), 2018, : 155 - 160
  • [8] Design of Smart Car Networking System based on Multi-Sensor Network
    Xu, Rong
    Liu, Hui
    Wang, Harry Haoxiang
    [J]. PROCEEDINGS OF THE 6TH INTERNATIONAL CONFERENCE ON INVENTIVE COMPUTATION TECHNOLOGIES (ICICT 2021), 2021, : 1 - 4
  • [9] Design and Accuracy Assessment of the Multi-Sensor Weigh-In-Motion System
    Gajda, Janusz
    Sroka, Ryszard
    Stencel, Marek
    Zeglen, Tadeusz
    Piwowar, Piotr
    Burnos, Piotr
    Marszalek, Zbigniew
    [J]. 2015 IEEE INTERNATIONAL INSTRUMENTATION AND MEASUREMENT TECHNOLOGY CONFERENCE (I2MTC), 2015, : 1036 - 1041
  • [10] A Smart Multi-sensor for the Diagnosis of Distribution Transformers
    Faria, Joana R. C.
    Lima, David M. C.
    Cardoso, Francisco J. A.
    [J]. 2018 IEEE SENSORS, 2018, : 1480 - 1483