Increased frame rate for Crowd Counting in Enclosed Spaces using GANs

An efficient computer system for regulating and monitoring the density of people in confined areas is very helpful. It becomes imperative to implement a solution that takes into account the processing power and pre-installed hardware in these places. Using computer vision, in particular, to make use of regular CCTV cameras that have been augmented by neural networks, solves the problem of precisely counting individuals in enclosed spaces. We describe a control system specifically designed for this goal, maximizing the capabilities of current infrastructure and enhancing neural networks to achieve higher frame rates.