Detection of Weapons and Alert System in ATM

Year : 2024 | Volume :15 | Issue : 01 | Page : 20-24
By

Sevanthi G. Meti

Majusha P.K

Niveditha M. Hiremath

Vinod Desai

Sannidhi N. Reddy

Anagha Tholpady S.

  1. Student, Department of Computer Science, Sai Vidya Institute of Technology, Bengaluru, Karnataka, India
  2. Lecturer, Department of Computer Science, Sai Vidya Institute of Technology, Bengaluru, Karnataka, India India
  3. Student, Department of Computer Science, Sai Vidya Institute of Technology, Bengaluru, Karnataka, India
  4. 3Assistant Professor, Department. of Computer Science, Sai Vidya Institute of Technology, Bengaluru, Karnataka, India
  5. Student, Department of Computer Science, Sai Vidya Institute of Technology, Bengaluru, Karnataka, India
  6. Student, Department. of Computer Science, Sai Vidya Institute of Technology, Bengaluru, Karnataka, India

Abstract

In 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.

Keywords: YOLO, GSM, ATMs, Tracklets

[This article belongs to Journal of Electronic Design Technology(joedt)]

How to cite this article: Sevanthi G. Meti, Majusha P.K, Niveditha M. Hiremath, Vinod Desai, Sannidhi N. Reddy, Anagha Tholpady S.. Detection of Weapons and Alert System in ATM. Journal of Electronic Design Technology. 2024; 15(01):20-24.
How to cite this URL: Sevanthi G. Meti, Majusha P.K, Niveditha M. Hiremath, Vinod Desai, Sannidhi N. Reddy, Anagha Tholpady S.. Detection of Weapons and Alert System in ATM. Journal of Electronic Design Technology. 2024; 15(01):20-24. Available from: https://journals.stmjournals.com/joedt/article=2024/view=150192

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Regular Issue Subscription Review Article
Volume 15
Issue 01
Received April 27, 2024
Accepted May 27, 2024
Published June 13, 2024
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