How it works
Each compact "node" processes approximately 10 cameras. For 30 cameras, deploying three devices is sufficient.
The user specifies which cameras are mission-critical and must remain operational.
The system constantly monitors all nodes in the network and performs regular health checks.
In the event of hardware failure:
- If one machine fails, the load is automatically redistributed.
- Non-critical cameras are temporarily disabled, and critical ones are immediately routed to active nodes.
- Critical infrastructure continues to run without interruption.
Advantages of this approach:
- No single point of failure: several small and affordable devices are more reliable than one powerful machine.
- The system automatically knows how many nodes are in the cluster and which cameras should have priority.
- Load redistribution happens smoothly and transparently for the user.
Hardware Redundancy
We have developed a system that ensures reliable video surveillance even in the event of equipment failure.
Unlike the traditional approach, where the failure of one machine leads to the shutdown of the entire system, we have implemented distributed redundancy.
Performance and Scalability
Linear growth:
Add more nodes to process a larger number of cameras without reprocessing the system.
Flexible deployment:
Start with a few devices and expand as needs grow.
Optimal resource utilization:
Non-critical cameras can be deprioritized under high load so that critical streams are always processed.
Future-ready:
The architecture is designed to scale from small installations (10-20 cameras) to enterprise systems with hundreds of cameras.