Predicting crime using machine learning and deep learning techniques has gained
considerable attention from researchers in recent years, focusing on identifying patterns and …

The security of a community is its topmost priority; hence, governments must take proper
actions to reduce the crime rate. Consequently, the application of artificial intelligence (AI) in …

Security and safety is a big concern for today's modern world. For a country to be
economically strong, it must ensure a safe and secure environment for investors and tourists …

With the adaptation of video surveillance in many areas for object detection, monitoring
abnormal behavior in several cameras requires constant human tracking for a single camera …

Predicting crimes before they occur can save lives and losses of property. With the help of
machine learning, many researchers have studied predicting crimes extensively. In this …

Featured Application This work has applied computer vision and deep learning technology
to develop a real-time weapon detector system and tested it on different computing devices …

The proliferation of surveillance cameras has resulted in an exponential growth in video
data, which has created several challenges for video data analysis, extraction, and storage …

Neural networks are a machine learning method that excel in solving classification and
forecasting problems. They have also been shown to be a useful tool for working with big …

The conventional surveillance and control system of Closed-Circuit Television (CCTV)
cameras require human resource supervision. Almost all the criminal activities take place …

Crime detection is one of the most important research applications in machine learning.
Identifying and reducing crime rates is crucial to developing a healthy society. Big Data …