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Title: :  REAL TIME HUMAN DETECTION AND COUNTING
PaperId: :  22381
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 10 Issue 1 2024
DUI:    16.0415/IJARIIE-22381
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Rahul SSRM Institute of Science and Technology
Gokul Shreeman MSRM Institute of Science and Technology
Gowtham RSRM Institute of Science and Technology
Moni Ajit SSRM Institute of Science and Technology

Abstract

Information Technology
Individual monitoring, Human recognition, Visual observation, Challenges, Limitations, YOLO algorithm, Image analysis, Video frames, Dataset analysis, Mobile application, Efficiency, Real-time identification, Complex backgrounds.
Dependable individual monitoring and human recognition within visual observation settings remain significant challenges in contemporary contexts. While recent strides have been made in this field, existing solutions often come with inherent limitations, requiring individuals to be in motion, necessitating a simple background, and demanding high image resolution. This study aims to pioneer an effective methodology capable of accurately assessing the number of individuals and identifying each person within images featuring complex and cluttered scenes. The primary objective of this research is to devise an innovative approach to tackle the persistent challenges outlined above, employing the You Only Look Once (YOLO) algorithm as the cornerstone for identifying individual people within video frames. Leveraging a comprehensive dataset, this study aims to delve deeper into the intricate task of identifying and counting individual people, with the ultimate output visualized through a user-friendly mobile application interface. By harnessing the capabilities of the YOLO algorithm, the intention is to revolutionize individual monitoring by achieving accurate and real-time identification of people within video frames, even amidst complex and challenging environmental backgrounds. In essence, this research aims to pioneer a novel solution that not only addresses the existing limitations but also sets a benchmark for effective individual monitoring and human recognition, thereby significantly enhancing operational efficiencies and user experiences across diverse settings and applications

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IJARIIE Rahul S, Gokul Shreeman M, Gowtham R, and Moni Ajit S. "REAL TIME HUMAN DETECTION AND COUNTING" International Journal Of Advance Research And Innovative Ideas In Education Volume 10 Issue 1 2024 Page 338-342
MLA Rahul S, Gokul Shreeman M, Gowtham R, and Moni Ajit S. "REAL TIME HUMAN DETECTION AND COUNTING." International Journal Of Advance Research And Innovative Ideas In Education 10.1(2024) : 338-342.
APA Rahul S, Gokul Shreeman M, Gowtham R, & Moni Ajit S. (2024). REAL TIME HUMAN DETECTION AND COUNTING. International Journal Of Advance Research And Innovative Ideas In Education, 10(1), 338-342.
Chicago Rahul S, Gokul Shreeman M, Gowtham R, and Moni Ajit S. "REAL TIME HUMAN DETECTION AND COUNTING." International Journal Of Advance Research And Innovative Ideas In Education 10, no. 1 (2024) : 338-342.
Oxford Rahul S, Gokul Shreeman M, Gowtham R, and Moni Ajit S. 'REAL TIME HUMAN DETECTION AND COUNTING', International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 1, 2024, p. 338-342. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/REAL_TIME_HUMAN_DETECTION_AND_COUNTING_ijariie22381.pdf (Accessed : ).
Harvard Rahul S, Gokul Shreeman M, Gowtham R, and Moni Ajit S. (2024) 'REAL TIME HUMAN DETECTION AND COUNTING', International Journal Of Advance Research And Innovative Ideas In Education, 10(1), pp. 338-342IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/REAL_TIME_HUMAN_DETECTION_AND_COUNTING_ijariie22381.pdf (Accessed : )
IEEE Rahul S, Gokul Shreeman M, Gowtham R, and Moni Ajit S, "REAL TIME HUMAN DETECTION AND COUNTING," International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 1, pp. 338-342, Jan-Feb 2024. [Online]. Available: https://ijariie.com/AdminUploadPdf/REAL_TIME_HUMAN_DETECTION_AND_COUNTING_ijariie22381.pdf [Accessed : ].
Turabian Rahul S, Gokul Shreeman M, Gowtham R, and Moni Ajit S. "REAL TIME HUMAN DETECTION AND COUNTING." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 10 number 1 ().
Vancouver Rahul S, Gokul Shreeman M, Gowtham R, and Moni Ajit S. REAL TIME HUMAN DETECTION AND COUNTING. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2024 [Cited : ]; 10(1) : 338-342. Available from: https://ijariie.com/AdminUploadPdf/REAL_TIME_HUMAN_DETECTION_AND_COUNTING_ijariie22381.pdf
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