Where should video AI processing happen? On-site? In the cloud? Or both? There is no universal answer.
With Edge AI, video is processed close to where it is generated.
Advantages include lower latency, reduced upstream bandwidth and greater control over where video is processed.
Video or relevant data is processed through centralized cloud infrastructure.
Cloud can be useful for centralized management and distributed deployments, depending on bandwidth, latency, security and data-governance needs.
Many enterprise environments benefit from a combination:
The edge handles time-sensitive processing while centralized infrastructure provides management, analytics and multi-site visibility.
Consider the number of cameras, available bandwidth, required response time, data policies, number of locations, existing infrastructure and integration requirements. DeepObserve can be architected to the customer's requirements rather than forcing every deployment into the same model.
Discover how DeepObserve can bring computer vision to your organisation.
