Thanks to the rapid evolution of IT technology, deploying video cameras in public and private spaces has become standard practice. For instance, in some public facilities such as airports, travelers can be in areas with camera coverage 100% of the time. Security guards watching banks of video panels that are fed from hundreds of security cameras are quickly being replaced by computer vision systems powered by artificial intelligence (AI), freeing time for other higher-value activities.

Today's advanced analytics can be performed on multiple camera streams in real time, eliminating the need for human intervention. These systems not only bolster personal safety but also offer a host of other benefits, including improved passenger experiences and enhanced shopping experiences. However, the failure to implement scalable, automated technology can prove detrimental. It can lead to businesses struggling to adapt under dynamic circumstances, resulting in missed opportunities, stunted growth, reduced revenue, or even compromised safety. This underlines the urgency of adopting these technologies.

This white paper describes the components and results of an optimized video management and computer vision AI solution. It shows how a Dell PowerFlex HCI cluster with VMware virtualization can be employed for these large-scale, multifaceted environments. Our test cases focused on the critical workflows for the broad application of computer vision and video management for various everyday use cases.