Scalable Platform
AIEYE can scale from small 5-10 camera installations to multi-site, multi-tenant either on-premise or in the cloud supporting thousands of cameras with AI detections. The platform is designed to accommodate evolving surveillance needs, various environments, and applications, accommodating expansion in camera networks, data processing capabilities, and security requirements.
AIEYE operates across on-premises, cloud, and hybrid environments, scaling vertically, horizontally, and functionally. Vertical scaling enhances the capacity of individual servers or nodes by upgrading resources like CPU, RAM, or storage. Meanwhile, its horizontal scalability allows for the addition of more nodes or servers, distributing the workload and enabling virtually limitless resource expansion. This flexibility ensures that IRIS+ can adapt to any scale of operation.
The platform's distributed architecture enables deployment across different geographical regions or data centers, optimizing performance and redundancy. In mission-critical environments where downtime is unacceptable, IRIS+’s elasticity dynamically adjusts resources in response to demand. Its load balancing and failover techniques efficiently distribute incoming requests or workloads across multiple servers or nodes, ensuring maximum resource utilization and consistent performance.
Flexibility
Designed to adapt to various environments and use cases.
Centralized Management
Single dashboard to manage all camera networks and analytics.
Kubernetes Ready
Supports containerized deployment with Kubernetes orchestration.
Health Monitoring
Real-time system and camera health monitoring.
Floating Licenses
Dynamic license allocation across multiple sites.
Integrations
Easy integration with third-party systems.
Real-time Analytics
Low-latency real-time video analytics.
Investigation
Advanced forensic and investigation tools.