Suspicious Activity Detection Using Deep Learning

Mr. Omkar Sutar; Prof .Kaveri Kari; Mr. Rohan Bankar; Mr. Ashish Bhatkal; MR. NAMDEV JEDGULE

Suspicious Activity Detection Using Deep Learning

March 2023

Vol-9, Issue-2

Paper ID: 19490

ISSN: 2395-4396

Downloads: 0

Abstract & Details

Research Area

Information technology (IT)

Keywords

Alert Generation Suspicious Activity Shoplifting Robbery Break-In

Abstract

The system aims to give CCTV cameras the ability to detect suspicious activity, without human intervention. This paper aims to identify suspicious activity for surveillance and alert shop owners when suspicious activity is detected. Electronic article surveillance (eas) systems are widely used in today’s retail stores, but this system is not capable enough as the shoplifters can easily remove the tag or label from the product. Hence, this system aims to take real-time videos from CCTV as input and pass it to the cnn model created with the help of transfer learning and detect ‘shoplifting’, ‘robbery’ or ’break-in’ in the store and notify the owners as soon as it occurs. Finally, the main motive is to provide a system that detects suspicious activities without human intervention and generates an alert, thus making a huge revolution in today’s surveillance system.

License

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

Author Information

#	Name	Institute / Affiliation
1	Mr. Omkar Sutar	Genba Sopanrao Moze College Of Engineering ,Balewadi, Pune, India
2	Prof .Kaveri Kari	Genba Sopanrao Moze College Of Engineering ,Balewadi, Pune, India
3	Mr. Rohan Bankar	Genba Sopanrao Moze College Of Engineering ,Balewadi, Pune, India
4	Mr. Ashish Bhatkal	Genba Sopanrao Moze College Of Engineering ,Balewadi, Pune, India
5	MR. NAMDEV JEDGULE	Genba Sopanrao Moze College Of Engineering ,Balewadi, Pune, India

How to Cite

Use the following formats to cite this article in your research.

APA Style

Sutar, Mr. Omkar, Kari, Prof .Kaveri, Bankar, Mr. Rohan, Bhatkal, Mr. Ashish, & JEDGULE, MR. NAMDEV (2023). Suspicious Activity Detection Using Deep Learning. International Journal of Advance Research and Innovative Ideas In Education, 9(2), 856-861.

MLA Style

Sutar, Mr. Omkar, et al. "Suspicious Activity Detection Using Deep Learning." International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 2, 2023, pp. 856-861.

IEEE Style

Mr. Omkar Sutar, Prof .Kaveri Kari, Mr. Rohan Bankar, Mr. Ashish Bhatkal, and MR. NAMDEV JEDGULE, "Suspicious Activity Detection Using Deep Learning," International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 2, pp. 856-861, 2023.

Vancouver Style

Sutar Mr. Omkar, Kari Prof .Kaveri, Bankar Mr. Rohan, Bhatkal Mr. Ashish, JEDGULE MR. NAMDEV. Suspicious Activity Detection Using Deep Learning. International Journal of Advance Research and Innovative Ideas In Education. 2023;9(2):856-861.

Harvard Style

Sutar, Mr. Omkar, Kari, Prof .Kaveri, Bankar, Mr. Rohan, Bhatkal, Mr. Ashish, & JEDGULE, MR. NAMDEV (2023) 'Suspicious Activity Detection Using Deep Learning', International Journal of Advance Research and Innovative Ideas In Education, 9(2), pp. 856-861.

Chicago Style

Sutar, Mr. Omkar, et al. "Suspicious Activity Detection Using Deep Learning." International Journal of Advance Research and Innovative Ideas In Education 9, no. 2 (2023): 856-861.

Turabian Style

Sutar, Mr. Omkar, et al. "Suspicious Activity Detection Using Deep Learning." International Journal of Advance Research and Innovative Ideas In Education 9, no. 2 (2023): 856-861.