


Volume 20 No 20 (2022)
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ALERT GENERATION ON SUSPICIOUS ACTIVITY DETECTION Using Convolutional Neural Network
Suvarna Nandyal,Sanjeevkumar Angadi
Abstract
The technology seeks to enable CCTV cameras to recognize suspicious activity without the need for a person
to intervene. The purpose of this research is to spot suspicious behaviour during ATM surveillance and notify
higher authorities when it is discovered. Surveillance systems are used in ATM, but it becomes difficult to
catch the suspicious event with the existing techniques. Hence, this Therefore, this system seeks to take
real-time videos from CCTV as an input and feed it to the CNN model constructed with the aid of transfer
learning to detect any type of suspicious event in the ATM environment and notify the higher authorities as
soon as it occurs. The primary goal is to create a system that can detect suspicious activity without human
interaction and send an alarm, completely revolutionizing the surveillance system in use today
Keywords
Alert Generation, Suspicious Activity, ATM, CNN
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