February 28, 2017
Video Surveillance Fog Use Case
Surveillance and security cameras are being deployed worldwide in record numbers in order to ensure the security and safety of materials, people, and places. These surveillance devices are generating massive amounts of data, with a single camera generating in excess of one terabyte of data per day. This data must be analyzed in real time in order to ensure public safety.
As the number of cameras and the amount of data continues to grow exponentially, new approaches are required to better manage the devices and data. Traditional cloud-based models that were deployed for the lower resolution cameras in the past are not ideally suited to these high-definition cameras, due to the massive amount of data, associated latency challenges, network availability and the enormous costs to continually stream the data to the cloud and back.
Fog computing provides the architecture to build cost-effective, real-time and latency-sensitive distributed surveillance systems that help to preserve privacy challenges in open environments.