Abstract:
Environmental security is currently a matter of concern for many
people. More and more people are competing to be able to create intelligent
and integrated technology to assist in monitoring. This research will discuss
the problem of the limitations of conventional CCTV systems in automatically
detecting dangerous objects and providing secure access to recordings and
how alternative steps as a solution to the problem. The main purpose of this
research is to learn and develop a CCTV anomaly detection system integrated
with AI analysis to improve monitoring efficiency and data security. Various
approaches are taken to be able to create an integrated system with good
accuracy, one of which is through an experimental approach to find out
whether this system works as desired. The result is that this system is able to
detect dangerous objects with a good level of accuracy and excellent
integration. Through this system, it is expected to be a solution and learning in
the field of computer vision in the future.
