International Research Journal of Innovations in Engineering and Technology - IRJIET International Open Access, Monthly, Peer Reviewed, Reputed Journal ISSN (online): 2581-3048

Impact Factor (2025): 6.9

DOI Prefix: 10.47001/IRJIET

A Survey Paper on Smart Human Activity Detection Using Yolo

Abstract

A simple operational model could allow one person to monitor all around us to ensure security and privacy, while maintaining cost and performance of management and getting it right. This inspection with real-time video monitoring function can be sent to hospitals or nursing homes for the sick and elderly, as well as various people working in important area such as airport. In we decided to use the YOLOv4 (You Only One See One) algorithm, which is the newest and fastest of the total algorithms for fast analysis of actions and accurate results when dealing with complex human behaviour. This method uses a bounding box to indicate the action. In these cases, we collected 4,674 different data from different hospitals or different cases, making the most accurate use of one of the largest datasets used in this type of project. When we research, we divide our actions into three different classes: standing, sitting, and walking. Model can control and analyse the activities of many patients or other normal people, and support can monitor the activities of many. After completing three projects, the model achieved an average accuracy of 94.6667.

Country : India

1 Prof. Aparna Thakre2 Atharav Deshpande3 Rohan Kadam4 Ajay Ujagare5 Abhishek jadhav

  1. Profeesor, Computer Engineering, Siddhant College of Enguneering Technical Campus, Sudumbhare, Pune, India
  2. Student, Computer Engineering, Siddhant College of Enguneering Technical Campus, Sudumbhare, Pune, India
  3. Student, Computer Engineering, Siddhant College of Enguneering Technical Campus, Sudumbhare, Pune, India
  4. Student, Computer Engineering, Siddhant College of Enguneering Technical Campus, Sudumbhare, Pune, India
  5. Student, Computer Engineering, Siddhant College of Enguneering Technical Campus, Sudumbhare, Pune, India

IRJIET, Volume 7, Special Issue of ICRTET- 2023 pp. 236-241

IRJIET.ICRTET49

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