Object Detection with Theft Alert Using Tensorflow and Yolo

Authors

  • Shraddha Shete  Data Science Department from G H Raisoni University Amravati, Maharashtra, India
  • Dr. Rais Abdul Hamid Khan  Assistant Professor of Data Science Department from G H Raisoni University Amravati, Maharashtra, India

DOI:

https://doi.org/10.32628/IJSRST2293109

Keywords:

Machine learning, Image Processing, Yolo, Tensor Flow.

Abstract

Theft is a common criminal activity that is prevailing over the years and is increasing day by day. To tackle this problem many surveillance systems have been introduced in the market. Some are simply based on video surveillance monitored by a human while some are AI-based capable of detecting suspicious activity and raising an alarm. However, none of them are intelligent enough to identify what kind of suspicious activity is being carried out and what kind of protective measures should be taken in real-time. This blog presents the design of an effective surveillance system using machine learning techniques.

References

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International Journal of Scientific Research in Science and Technology

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Published

2022-06-30

Issue

Volume 9, Issue 3, May-June-2022

Section

Research Articles

License

Copyright (c) IJSRST

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Shraddha Shete, Dr. Rais Abdul Hamid Khan "Object Detection with Theft Alert Using Tensorflow and Yolo" International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011,Volume 9, Issue 3, pp.576-579, May-June-2022. Available at doi : https://doi.org/10.32628/IJSRST2293109