The amount of video is growing rapidly across industries. A recent IDC report projects that 79.4 zettabytes of data will be created by connected Internet of things (IoT) devices by 2025, mostly generated by video applications.1
Harnessing the full potential of this content deluge is no small task. Manual video analysis is a slow, labor-intensive process that is prone to errors and often not feasible due to lack of resources.
Failure to fully optimize content or effectively monitor and respond to live video can result in missed opportunities for a variety of industries. Below is a sampling of how object detection in video and overall video analytics technology is impacting specific industries: