System Integration

Yes.

Depending on the product and deployment, Cupola360 can be integrated into broader monitoring environments involving existing cameras, VMS/NVR systems, NAS storage, sensors, web platforms, dashboards, AI solutions, and other third-party systems.

Yes.

Third-party AI analytics can be incorporated into a Cupola360 solution depending on the system architecture and the capabilities of the selected AI platform.

Cupola360 provides panoramic visual context, while the integrated AI platform performs its respective analytics functions.

Selected Cupola360 products can be integrated with video management and recording environments.

Compatibility depends on the specific Cupola360 product, third-party platform, protocol requirements, and intended functions.

Supported protocols and interfaces vary by product and application.

Depending on the deployment, Cupola360 solutions may support technologies such as RTSP, RTMP, ONVIF, web embedding, APIs, and other system-integration methods.

For a specific project, compatibility should be confirmed based on the selected products and system architecture.

Yes.

Depending on the implementation, Cupola360⁺ Patrol can bring together video with other contextual information such as dashboards, IoT data, web content, AI events, and operational information.

Cupola360⁺ Patrol can support API-based actions within the visual interface, allowing users to trigger supported external workflows without leaving the current site view.

Depending on the integration, this may include actions such as creating a work order, changing equipment status, triggering an external system command, or interacting with an existing enterprise platform.

This helps bring visual awareness and operational actions into the same workflow.

When AI analysis or user interaction takes place within a cropped or perspective view, the detected position can be converted back to its corresponding location in the original 360° panoramic image.

This is done by establishing the geometric relationship between the local view and the panoramic coordinate system.

By mapping detections, annotations, or event locations back to the same 360° reference, different views and AI results can be presented within a consistent spatial context.

Read More