Integration of Computer Vision with Raspberry Pi in Surveillance Robotics

Year : 2024 | Volume : | : | Page : –
By

Dr.Shalini sahay,

Aayushi rajput,

Sapna Kushwaha,

Sumit giri,

Swati meena,

  1. Assistant professor, Sagar Institute of Research and Technology, Bhopal Madhya Pradesh, India
  2. Student, Sagar Institute of Research and Technology, Bhopal Madhya Pradesh, India
  3. Student, Sagar Institute of Research and Technology, Bhopal Madhya Pradesh, India
  4. Student, Sagar Institute of Research and Technology, Bhopal Madhya Pradesh, India
  5. Student, Sagar Institute of Research and Technology, Bhopal Madhya Pradesh, India

Abstract

An enhanced method for tracking the weather at a specific location and having the data viewable from anywhere in the world is the system described in this paper. The technology behind this is the Internet of Things (IoT), a state-of-the-art and efficient way to connect devices to the internet and connect everything in the world in a network.. Things like electronic devices, sensors, and vehicle electronics could be found here.Temperature, relative humidity, and CO level are just a few of the environmental variables that the system monitors and controls via sensors. After that, it sends the information to a web page, where graphical statistics are plotted using the sensor data. Through the internet, anyone can access the most recent data from the established system from anywhere in the globe.

Keywords: Unmanned aerial vehicles , Robot , HARDWARE , Single printed circuit board

How to cite this article: Dr.Shalini sahay, Aayushi rajput, Sapna Kushwaha, Sumit giri, Swati meena. Integration of Computer Vision with Raspberry Pi in Surveillance Robotics. Journal of Microcontroller Engineering and Applications. 2024; ():-.
How to cite this URL: Dr.Shalini sahay, Aayushi rajput, Sapna Kushwaha, Sumit giri, Swati meena. Integration of Computer Vision with Raspberry Pi in Surveillance Robotics. Journal of Microcontroller Engineering and Applications. 2024; ():-. Available from: https://journals.stmjournals.com/jomea/article=2024/view=167235



References

  • [1]. Nsabagwa M, Byamukama M, Kondela E, Otim JS. Towards a robust and affordable Automatic Weather Station. Development Engineering. 2019 Jan 1;4:100040.
  • [2]. Kodali RK, Mandal S. IoT based weather station. In2016 international conference on control, instrumentation, communication and computational technologies (ICCICCT) 2016 Dec 16 (pp. 680-683). IEEE.
  • [3]. Ravi Kishore Kodali and Archana Sahu “An IoT based Weather Information Prototype Using WeMos” 2016 2nd International Conference on Contemporary Computing and Informatics (ic3i), 978-1-5090-5256- 1/16/$31.00, IEEE, (2016)
  • [4]. Huang ZQ, Chen YC, Wen CY. Real-time weather monitoring and prediction using city buses and machine learning. Sensors. 2020 Sep 10;20(18):5173.
  • [5]. Ladi K, Manoj AV, Deepak GV. IOT based weather reporting system to find dynamic climatic parameters. In2017 International Conference on Energy, Communication, Data Analytics and Soft Computing (ICECDS) 2017 Aug 1 (pp. 2509-2513). IEEE.
  • [6]. Susmitha P, Bala GS. Design and implementation of weather monitoring and controlling system. International journal of Computer applications. 2014 Jan 1;97(3).
  • [7]. Parashar T, Gahlot S, Godbole A, Thakare YB. Weather monitoring system using Wi-Fi. IJSR) ISSN (Online). 2016 Nov:2319-7064.
  • [8]. Sabharwal N, Kumar R, Thakur A, Sharma J. A Low-Cost Zigbee Basedautomatic Wireless Weather Station With Gui And Web Hosting Facility. International Journal of Electrical and Electronics Engineering. 2014 May;1.
  • [9]. Prasanna M, Iyapparaja M, Vinothkumar M, Ramamurthy B, Manivannan SS. An Intelligent Weather Monitoring System using Internet of Things. International Journal of Recent Technology and Engineering (IJRTE) ISSN. 2019 Nov:2277-3878.

Ahead of Print Subscription Review Article
Volume
Received May 7, 2024
Accepted May 8, 2024
Published August 14, 2024

Check Our other Platform for Workshops in the field of AI, Biotechnology & Nanotechnology.
Check Out Platform for Webinars in the field of AI, Biotech. & Nanotech.