Nithya Shree R, Rajeshwari Sah and Shreyank N Gowda, R.V.College of Engineering, India

Over recent years, surveillance camera is attracting attention due to its wide range of applications in suspicious activity detection. Current surveillance system focuses on analysing past incidents. This paper proposes an intelligent system for real-time monitoring with added functionality of anticipating the outcome through various Image processing techniques. As this is a sensitive matter, human decisions are given priority, still facilitating limited logical intervention of human resource. This framework detects risk in the area under surveillance. One such dangerous circumstance is implemented, like a person with a knife. Here the prediction is that in the firm places like ATM, Banks, Offices etc. a person possessing knife is unusual and likely to cause harmful activities like threatening, injuring and stabbing. The experiment demonstrates the effectiveness of the technique on training dataset collected from distinct environments. An interface is developed to notify concerned authority that boosts reliability and overall accuracy

Surveillance behaviour; Real-time dynamic video; pattern match; precautionary measures; sharp objects;