• Yendhe Kirti
• Temkar Siddhi
• Pabale Snehal
• Auti Mayuri

The main goal of the system is to find out the doubtful activates without the interference of any human being. The motivation of the paper is to identify the doubtful activity and observation for the alertness to the shop owner when doubtful activity is seen. Electronic Article Surveillance (EAS) systems are broadly used in most of the retail stores, still this system is incapable as some of the shop lifters can remove the tags from the product. So, this system takes the videos from the CCTV as an input and after passing to the CNN model developed by the help of transfer learning and detect shoplifting, robbery or breaking in the shop and inform it to the shop owners as sooner as it happens. At the end the main motive is to provide a system that finds doubtful activities without interference of human and create alert. Hence making the vast revolution in today’s surveillance system

Deep Learning, Suspicious Behavior, Alert Generation, CNN.

"Alert Generation On Suspicious Activity Detection From Videos Using CNN", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 5, page no.n532-n535, May-2023, Available :http://www.jetir.org/papers/JETIR2305D76.pdf

"Alert Generation On Suspicious Activity Detection From Videos Using CNN", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 5, page no. ppn532-n535, May-2023, Available at : http://www.jetir.org/papers/JETIR2305D76.pdf