Abstract Vision Transformers (ViTs), with the magnificent potential to unravel the information
contained within images, have evolved as one of the most contemporary and dominant …

Smart policing refers to the use of advanced technologies such as artificial intelligence to
enhance policing activities in terms of crime prevention or crime reduction. Artificial …

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 …

In recent years, the number of crimes with weapons has grown on a large scale worldwide,
mainly in locations where enforcement is lacking or possessing weapons is legal. It is …

Weapon detection is the process of identifying handheld weapons such as guns, knives,
etc., and creating a bounding box around them to highlight the spatial locations. Weapon …

Weapon detection (WD) provides early detection of potentially violent situations. Despite
deep learning (DL) algorithms and sophisticated closed-circuit television (CCTVs), detecting …

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

Weapon detection is a critical and serious topic in terms of public security and safety,
however, it's a difficult and time-consuming operation. Due to the increase in demand for …

Model Inversion (MI) is a type of privacy violation that focuses on reconstructing private
training data through abusive exploitation of machine learning models. To defend against MI …

Early detection of armed threats is crucial in reducing accidents and deaths resulting from
armed conflicts and terrorist attacks. The most significant application of weapon detection …