An Intelligent CCTV System with Context-Aware Alerts for User-Defined Threats

Author(s)	Mr. Prajyot Pravin Fulari, Mr. Saharsh Anand Dudhyal, Mr. Samarth Sanjay Dangat, Mr. Varad Vijay Chidrawar, Dr. Girish J. Navale
Country	India
Abstract	Traditional security systems are the types that simply capture videos and they are incapable of raising an alarm whenever something bad is occurring. In contrast, a smart, correct alert, such as the sense that someone is intruding to the premises or that somebody is stealing something, might be helpful in preventing it before it grows. Majority of traditional intelligent CCTV configurations are also based on alerts that are configured by programmers and are hard coded which are highly likely to give a lot of false positives and are not readily manipulated to meet the requirements of the customers. The rule-based context- conscious alert engine that I have to offer is a priority system and simple anomaly detection. This allows users to configure the way the CCTV alerts act without necessarily the user touching the code, but by simply using the interface
Keywords	Smart Surveillance CCTV, User-Pre- Defined Alerts, Context-Aware Surveillance, IoT Security, Rule- Based Alerting.
Field	Engineering
Published In	Volume 8, Issue 2, March-April 2026
Published On	2026-04-14

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