Paper Contents
Abstract
High-quality CCTV cameras have been installed using a variety of technologies to ensure the protection of people and property. It is not feasible to manually keep an eye on every activity at all times. In this work, the concept of CNN is utilized to identify if behavior in an environment is suspicious or normal, and a system that alerts the similarity authority in the event that it predicts suspicious activity is proposed. It's important to remember that the deployment environment, the machine learning model's architecture, and the caliber of the training data all affect how successful a suspicious activity detection system.
Copyright
Copyright © 2024 Krutika Mukund Karande. This is an open access article distributed under the Creative Commons Attribution License.
