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Title: :  Crowd Density Prediction using Deep Learning
PaperId: :  26694
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 11 Issue 3 2025
DUI:    16.0415/IJARIIE-26694
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Abdul Jabbar ShaikhVidya Vikas Institute of Engineering & Technology, Karnataka, India
Ankush KVidya Vikas Institute of Engineering & Technology, Karnataka, India
Fathima ZehraVidya Vikas Institute of Engineering & Technology, Karnataka, India
TasmiyaVidya Vikas Institute of Engineering & Technology, Karnataka, India

Abstract

Computer Science and Engineering
Human Detection, Crowd Monitoring, Deep Learning, YOLOv5, Real-Time Analytics, Public Safety, Computer Vision, Surveillance, Telegram Alerts, Density Estimation.
As urban areas grow and public events become more common, the need for efficient crowd management is increasingly critical—especially at high-traffic locations such as tourist destinations and religious sites. Traditional methods like manual headcounts or static surveillance systems often lack the precision and scalability needed for modern crowd control. To address these limitations, this project introduces a real-time human density monitoring system powered by the YOLOv5 deep learning model. By analyzing video feeds, the system can detect and count individuals, issuing instant alerts via Telegram when crowd density exceeds safe levels. This allows authorities to take prompt action and prevent overcrowding. The system is implemented using Python and integrates a pre-trained YOLOv5 model within a real-time processing pipeline. Surveillance footage is captured and processed frame-by-frame to detect humans using bounding boxes. The number of detected individuals is used to compute crowd density, and alerts are triggered if it crosses the predefined safety limit. Built in the PyCharm environment, the solution minimizes human involvement while ensuring real-time functionality and high scalability. The alert mechanism utilizes the python-telegram-bot library for seamless communication with relevant personnel.

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IJARIIE Abdul Jabbar Shaikh, Ankush K, Fathima Zehra, and Tasmiya. "Crowd Density Prediction using Deep Learning" International Journal Of Advance Research And Innovative Ideas In Education Volume 11 Issue 3 2025 Page 2107-2113
MLA Abdul Jabbar Shaikh, Ankush K, Fathima Zehra, and Tasmiya. "Crowd Density Prediction using Deep Learning." International Journal Of Advance Research And Innovative Ideas In Education 11.3(2025) : 2107-2113.
APA Abdul Jabbar Shaikh, Ankush K, Fathima Zehra, & Tasmiya. (2025). Crowd Density Prediction using Deep Learning. International Journal Of Advance Research And Innovative Ideas In Education, 11(3), 2107-2113.
Chicago Abdul Jabbar Shaikh, Ankush K, Fathima Zehra, and Tasmiya. "Crowd Density Prediction using Deep Learning." International Journal Of Advance Research And Innovative Ideas In Education 11, no. 3 (2025) : 2107-2113.
Oxford Abdul Jabbar Shaikh, Ankush K, Fathima Zehra, and Tasmiya. 'Crowd Density Prediction using Deep Learning', International Journal Of Advance Research And Innovative Ideas In Education, vol. 11, no. 3, 2025, p. 2107-2113. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Crowd_Density_Prediction_using_Deep_Learning_ijariie26694.pdf (Accessed : ).
Harvard Abdul Jabbar Shaikh, Ankush K, Fathima Zehra, and Tasmiya. (2025) 'Crowd Density Prediction using Deep Learning', International Journal Of Advance Research And Innovative Ideas In Education, 11(3), pp. 2107-2113IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Crowd_Density_Prediction_using_Deep_Learning_ijariie26694.pdf (Accessed : )
IEEE Abdul Jabbar Shaikh, Ankush K, Fathima Zehra, and Tasmiya, "Crowd Density Prediction using Deep Learning," International Journal Of Advance Research And Innovative Ideas In Education, vol. 11, no. 3, pp. 2107-2113, May-Jun 2025. [Online]. Available: https://ijariie.com/AdminUploadPdf/Crowd_Density_Prediction_using_Deep_Learning_ijariie26694.pdf [Accessed : ].
Turabian Abdul Jabbar Shaikh, Ankush K, Fathima Zehra, and Tasmiya. "Crowd Density Prediction using Deep Learning." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 11 number 3 ().
Vancouver Abdul Jabbar Shaikh, Ankush K, Fathima Zehra, and Tasmiya. Crowd Density Prediction using Deep Learning. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2025 [Cited : ]; 11(3) : 2107-2113. Available from: https://ijariie.com/AdminUploadPdf/Crowd_Density_Prediction_using_Deep_Learning_ijariie26694.pdf
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