Anti-Robo: A Tool Detection System

Authors

  • Thutheja V Department of Computer Science and Engineering, Jhulelal Institute of Technology, Nagpur, Maharashtra, India
  • Mohankar V Department of Computer Science and Engineering, Jhulelal Institute of Technology, Nagpur, Maharashtra, Indi
  • Mulchandani M Department of Computer Science and Engineering, Jhulelal Institute of Technology, Nagpur, Maharashtra, India

Keywords:

Object detection, image processin, notification, MVC algorithm

Abstract

Tool Detection System is a web application which detects those objects and tools that are not generally used in public places, which are more harmful to public like gun, knife, etc. When someone like robber, theft get inside the shop or ATM with having weapon like gun, knife and wear a mask, this tool detection system detects all unusual tools like guns that holed by robbers and send notification to the police station and we can easily stop happening robbery. This tool when capture image of tool or weapon and can subtract background image. After subtracting background image, the system checks the tool with the installed objects in the system and if matched then it sends notification and location to the nearby police station and related authority for the alert.

References

[1] Wang Zhiqiang and Liu Jun ”A Review of Object Detection Basedon Convolutional Neural Network”,Proceedings of the 36th ChineseControl Conference July 26-28, 2017

[2] Sharma, K.U. and Thakur, N.V. (2017) ‘A review and an approach for object detection in images’, Int. J. Computational Vision and Robotics, Vol. 7, Nos. 1/2, pp.196–237.

[3]Agarwal, S., Awan, A., and Roth, D. (2004). Learning to detect objects in images via a sparse, part-based representation. IEEE Trans. Pattern Anal. Mach. Intell. 26, 1475–1490. doi:10.1109/TPAMI.2004.108

[4] Alexe, B., Deselaers, T., and Ferrari, V. (2010). “What is an object?,” in Computer Vision and Pattern Recognition (CVPR), 2010 IEEE Conference on (San Francisco, CA: IEEE), 73–80. doi:10.1109/CVPR.2010.5540226

[5] Verschae, R., Ruiz-del-Solar, J., and Correa, M. (2008). A unified learning frame- work for object detection and classification using nested cascades of boosted classifiers. Mach. Vis. Appl. 19, 85–103. doi:10.1007/s00138-007-0084- 0

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Published

2025-11-25

How to Cite

[1]
V. Thutheja, V. Mohankar, and M. Mulchandani, “Anti-Robo: A Tool Detection System”, Int. J. Comp. Sci. Eng., vol. 7, no. 12, pp. 26–28, Nov. 2025.

Issue

Vol. 7 No. 12 (2019): IJCSE Special Issue May Edition

Section

Research Article

License

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