Open Access   Article Go Back

Anti-Robo: A Tool Detection System

V. Thutheja1 , V. Mohankar2 , M. Mulchandani3

Section:Research Paper, Product Type: Journal Paper
Volume-07 , Issue-12 , Page no. 26-28, May-2019

Online published on May 12, 2019

Copyright © V. Thutheja, V. Mohankar, M. Mulchandani . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

View this paper at   Google Scholar | DPI Digital Library

XML View
PDF Download

How to Cite this Paper

  • IEEE Citation
  • MLA Citation
  • APA Citation
  • BibTex Citation
  • RIS Citation

IEEE Style Citation: V. Thutheja, V. Mohankar, M. Mulchandani, “Anti-Robo: A Tool Detection System,” International Journal of Computer Sciences and Engineering, Vol.07, Issue.12, pp.26-28, 2019.

MLA Style Citation: V. Thutheja, V. Mohankar, M. Mulchandani "Anti-Robo: A Tool Detection System." International Journal of Computer Sciences and Engineering 07.12 (2019): 26-28.

APA Style Citation: V. Thutheja, V. Mohankar, M. Mulchandani, (2019). Anti-Robo: A Tool Detection System. International Journal of Computer Sciences and Engineering, 07(12), 26-28.

BibTex Style Citation:
@article{Thutheja_2019,
author = {V. Thutheja, V. Mohankar, M. Mulchandani},
title = {Anti-Robo: A Tool Detection System},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {5 2019},
volume = {07},
Issue = {12},
month = {5},
year = {2019},
issn = {2347-2693},
pages = {26-28},
url = {https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=1033},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=1033
TI - Anti-Robo: A Tool Detection System
T2 - International Journal of Computer Sciences and Engineering
AU - V. Thutheja, V. Mohankar, M. Mulchandani
PY - 2019
DA - 2019/05/12
PB - IJCSE, Indore, INDIA
SP - 26-28
IS - 12
VL - 07
SN - 2347-2693
ER -

           

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.

Key-Words / Index Term

Object detection, image processing, notification, MVC algorithm

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