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International Journal of Computing and Artificial Intelligence

Impact Factor (RJIF): 5.57, P-ISSN: 2707-6571, E-ISSN: 2707-658X
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2025, Vol. 6, Issue 1, Part B

Crowd monitoring with alerting system


Author(s): Sachin Choudhari, Bhushan Rajani, Mayank Sahajramani, Nikhil Nanwani, Sujal Nawani and Sujal Bhojwani

Abstract: The goal of this work is to explain a crowd management system that uses Raspberry Pi technology integrated with GSM and YOLOv8. This system is essential for monitoring and confronting violent behavior inside a group of people. The most recent recognized model, YOLOv8, which has a high degree of accuracy, potentially high detection speed, and low latency, is utilized by the design. Users are provided with a gateway that allows them to set boundaries and view real-time crowd activity monitoring. GSM was used to send warnings for every violent occurrence that was found. Advanced communication technologies and detection are used in the rapid and economical system solutions. The projected crowd administration scheme influences progressive electronics like Raspberry Pi, GSM, and YOLOv8 to monitor and control big crowds, specifically in surroundings place extreme action concede possibility happen. The system aims to discover, path, and put oneself in the place of another occurrence of attitude in certain-opportunity, guaranteeing improved security honestly rooms in the way that stadiums, concerts, or protests. At the center of bureaucracy is the YOLOv8 (You Only Look Once report 8) model, a newfangled object discovery invention famous for allure extreme veracity, speedy discovery speed, and reduced abeyance. YOLOv8 is particularly created to perceive and path things or groups of nation inside a crowd, recognizing severe conduct like fights, hostile gestures, or different campaigns. Its skill to process broadcast feeds from cameras attributed to a Raspberry Pi guarantees honest-period study and operation. Raspberry Pi serves as the alter center, merging accompanying cameras to capture live movie of the crowd. It acts as a cheap, adept resolution to act the difficult computational tasks wanted for object discovery. The system admits controllers to set predefined frontiers or zones inside the crowd, taking alerts when powerful act crosses these limits. Additionally, GSM (Global System for Mobile Communications) electronics is organized to please mechanical warnings to appropriate experts or crew when destructive performance is discovered. These warnings are shipped by way of manual ideas, permissive accelerated reaction to occurrence and guaranteeing unexpected mediation. Combining cheap fittings accompanying progressive discovery and ideas electronics, this crowd administration whole offers an effective, ascendable, and inexpensive answer for asserting public security.

DOI: 10.33545/27076571.2025.v6.i1b.140

Pages: 119-122 | Views: 584 | Downloads: 292

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International Journal of Computing and Artificial Intelligence
How to cite this article:
Sachin Choudhari, Bhushan Rajani, Mayank Sahajramani, Nikhil Nanwani, Sujal Nawani, Sujal Bhojwani. Crowd monitoring with alerting system. Int J Comput Artif Intell 2025;6(1):119-122. DOI: 10.33545/27076571.2025.v6.i1b.140
International Journal of Computing and Artificial Intelligence

International Journal of Computing and Artificial Intelligence

International Journal of Computing and Artificial Intelligence
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