This report looks at the drivers behind the rapid adoption of video analytics for public safety and business intelligence, and offers statistics about the growth of the market. As analytics become more sophisticated through the developments in Artificial Intelligence and deep-learning neural networks, organizations are becoming more reliant on insights derived through collected video data. With this growth, we are seeing a roaring demand for flexible video analytic deployment architectures. The need for ubiquitous accessibility and distribution of processing requirements is driving AI to edge, cloud and hybrid models, beyond the traditional confines of a centralized deployment.
Download this report for an overview of the various processing architectures:
- Edge on the camera
- Centrally on a on-premise server
- In the cloud
- Hybrid Approach