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Sevanthi G. Meti, Majusha P.K, Niveditha M. Hiremath, Vinod Desai, Sannidhi N. Reddy, Anagha Tholpady S.
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- Student,, Lecturer,, Student,, 3Assistant Professor,, Student,, Student, Department of Computer Science, Sai Vidya Institute of Technology, Bengaluru,, Department of Computer Science, Sai Vidya Institute of Technology, Bengaluru,, Department of Computer Science, Sai Vidya Institute of Technology, Bengaluru,, Department. of Computer Science, Sai Vidya Institute of Technology, Bengaluru,, Department of Computer Science, Sai Vidya Institute of Technology, Bengaluru,, Department. of Computer Science, Sai Vidya Institute of Technology, Bengaluru, Karnataka,, Karnataka, India, Karnataka,, Karnataka,, Karnataka,, Karnataka, India, India, India, India, India, India
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Abstract
nIn contemporary society, the prominence of security and safety has become a significant apprehension. Every day, both stores and banks fall victim to robberies, and the frequency of such incidents is progressively increasing. The assurance of public safety has emerged as a crucial matter in the present era, particularly considering the escalating global security concerns. Considering the advancements in computer vision technologies, the utilization of You Only Look Once (YOLO) algorithms for weapon detection stands out as a particularly auspicious approach. The YOLO family of real-time object identification algorithms, including YOLO v4 and YOLO v5, have gained attention for their speed and accuracy. YOLO v4 introduced improvements such as the CSPDarknet53 backbone and refined data augmentation techniques. A significant step toward enhancing public safety has been taken with the integration of YOLO with weapon detection and alarm systems. This essay will explain the basic concepts of YOLO, its application in weapon detection, current advancements, and possible future uses in applying this technology to address new security concerns. YOLO v5 further simplified the architecture while maintaining performance. In weapon detection, the system notifies the manager or user through a web portal and triggers an alarm. The manager can confirm the threat or dismiss it. If confirmed, the system uses the GSM module to contact local authorities. Response not received within 15 seconds; relevant authorities are alerted A simulated heist scenario demonstrated the system’s effectiveness.
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Keywords: YOLO, GSM, ATMs, Tracklets
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References
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| Volume | 15 | |
| [if 424 equals=”Regular Issue”]Issue[/if 424][if 424 equals=”Special Issue”]Special Issue[/if 424] [if 424 equals=”Conference”][/if 424] | 01 | |
| Received | April 27, 2024 | |
| Accepted | May 27, 2024 | |
| Published | June 13, 2024 |
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