CFP last date
20 May 2024
Reseach Article

MST Detector (Face Mask, Social Distance and Body Temperature Detector)

by Jash Patel, Rutvik Raval, Harsh Patel
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 184 - Number 13
Year of Publication: 2022
Authors: Jash Patel, Rutvik Raval, Harsh Patel
10.5120/ijca2022922123

Jash Patel, Rutvik Raval, Harsh Patel . MST Detector (Face Mask, Social Distance and Body Temperature Detector). International Journal of Computer Applications. 184, 13 ( May 2022), 38-43. DOI=10.5120/ijca2022922123

@article{ 10.5120/ijca2022922123,
author = { Jash Patel, Rutvik Raval, Harsh Patel },
title = { MST Detector (Face Mask, Social Distance and Body Temperature Detector) },
journal = { International Journal of Computer Applications },
issue_date = { May 2022 },
volume = { 184 },
number = { 13 },
month = { May },
year = { 2022 },
issn = { 0975-8887 },
pages = { 38-43 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume184/number13/32385-2022922123/ },
doi = { 10.5120/ijca2022922123 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:21:23.077863+05:30
%A Jash Patel
%A Rutvik Raval
%A Harsh Patel
%T MST Detector (Face Mask, Social Distance and Body Temperature Detector)
%J International Journal of Computer Applications
%@ 0975-8887
%V 184
%N 13
%P 38-43
%D 2022
%I Foundation of Computer Science (FCS), NY, USA
Abstract

"MST Detector" is the system for preventing the spread of COVID-19. Nowadays, a person hired for detecting mask and temperature, by following this manner a person may be affected by covid and spreading it. MST detector is an innovative approach that has an arrangement that can identify the person who wears a mask and detect their temperature. Additionally, it can detect social distance violations and it also keep records of the people so that their measurements can be searched easily. The main purpose of this system is to make work contactless and automatic. This combined system can be used in hospitals, institutions, organizations, shopping centers, etc. This system is built using the camera, the Arduino Nano and an Infrared Sensor. In organizations, schools and colleges, this system can be used to detect masks and recognize faces using a camera and it can also be used to detect temperature using an infrared sensor. This system needs to be placed at the entrance of the organization so it can detect and identify the people and measure the temperature accurately. It can also be used in large domains for monitoring social distance violations, such as in public places and large private sectors.

References
  1. Anantharam Vinay, Gupta Abhijay, Garg Harsh, Bharadwaj Aprameya, Srinivasan Arvind, Murthy Kn Balasubramanya, S Natarajan.2020. Neural Network-Based Face Recognition.
  2. Shivkaran Ravidas, M A Ansari.2020. Multi-view face detection system using deep convolutional neural network.
  3. Akira Shibata, Makoto Ishigami, Naohito Takeuchi. Face Mask.
  4. Ramireddy Karthik, Deepak Ch. 2020. Social distance monitoring and face mask detection equipment.
  5. Rajesh Singh, Anita Gehlot, Navjot Rathour, Manoj Kumar Jena, Manish Gupta. 2020. A standalone vision device for face mask detection in a public place.
  6. V Neethidevan, K Kanagaraj, G Chandrasekaran, Jmurugachandra Vel, Samirtharaj. 2020. Internet Of Things Based Face Mask Detection System.
  7. Ruhul Amin Choudhury, Mandeep Singh, Sorabh Lakhanpal.2020. A System To Detect Face Mask And Body Temperature Of A User At Entrance.
  8. Adrian Rosebrock.2018. Face detection with OpenCV and deep learning.
  9. Adrian Rosebrock.2020. COVID-19: Face mask detector with OpenCV, Keras/Tensorflow and Deep Learning.
  10. Berkeley AI Research (BAIR), Yangqing Jia, Evan Shelhamer. 2012. Deep learning framework by BAIR. ILSVRC2012.
  11. Himasha Harinda. 2019. Detecting faces with Python and OpenCV Face Detection Neural Network.
  12. FaceRecognition module documentation.
  13. Shantnu Tiwari. Face Recognition with Python, in Under 25 Lines of Code.
  14. Milliohm. Non-Contact Temperature Sensor MLX90614 With Arduino Tutorial.
  15. Akshay Joseph.2020. COVID-19 Non-contact Thermometer.
  16. Melexis. MLX90614 datasheet.
  17. Python Software Foundation smbus2 0.4.1 python package.2021.
  18. Adrian Rosebrock.2020. OpenCV Social Distancing Detector.
  19. Ravindu Senaratne.2020. Social Distance Detector with Python, YOLO v4, Darknet and OpenCV.
  20. Roman Orac.2020. What’s new in YOLO v4?
  21. Ayoosh Kathuria.2018. What’s new in YOLO v3?
  22. AlexyAB. YOLO v4v / Scaled-YOLO v4 - Neural Networks for Object Detection (Windows and Linux version of Darknet ).
  23. Dherrada. 2020. library for the MLX90614 temperature sensor.
  24. Joseph Redmon, Santosh Divvala, Ross Girshick, Ali Farhadi. 2016. You Only Look Once: Unified, Real-Ttime Object Detection.
Index Terms

Computer Science
Information Sciences

Keywords

Face Mask Detection Social distance Detection Body Temperature Detection Face Recognition