@ARTICLE{Milton_Davidson_Kamala_Dhas_Crowd_2023,
 author={Milton, Davidson Kamala Dhas and Velraj, Arun Raj},
 volume={vol. 69},
 number={No 1},
 journal={International Journal of Electronics and Telecommunications},
 pages={19-24},
 howpublished={online},
 year={2023},
 publisher={Polish Academy of Sciences Committee of Electronics and Telecommunications},
 abstract={In this covid19 pandemic the number of people gathering at public places and festivals are restricted and maintaining social distancing is practiced throughout the world. Managing the crowd is always a challenging task. It requires monitoring technology. In this paper, we develop a device that detects and provide human count and detects people who are not maintaining social distancing . The work depicted above was finished using a Raspberry Pi 3 board with OpenCV-Python. This method can effectively manage crowds.},
 type={Article},
 title={Crowd Size Estimation and Detecting Social Distancing using Raspberry Pi and OpenCV},
 URL={http://www.czasopisma.pan.pl/Content/126534/PDF/3.pdf},
 doi={10.24425/ijet.2023.144326},
 keywords={Haar features, human detection, distance checking, raspberry pi, opencv},
}