INTELISURV / THE VIDEO INTELLIGENCE PLATFORM
Bring video management, AI workflows, and edge devices into one operational view. Built by Telenext. Deployed on infrastructure you control.
Talk Intelisurv
THE BIGGER PICTURE
Connect the event to the evidence, the location, and the response.
Intelisurv combines a video management system with Vidaria AI workflow orchestration and an edge device platform. Use the capabilities that fit your operation, from a local installation to a distributed estate.
Live views, recording, synchronized playback, incident tracking, hierarchical locations, and role-based access. A common view of the camera estate and its operational health.
Connect camera inputs, models, zones, rules, and outputs in a visual workflow builder. Extend the pipeline with custom ONNX models and local vision-language integrations.
Connect Android devices, body cameras, and mobile capture to the wider operation. Keep recording locally, apply supported on-device processing, and synchronize when connectivity permits.
EXPLORE A WORKFLOW
A person enters a configured zone. The pipeline evaluates the event and routes relevant evidence to the operator for review.
Illustrative workflow. Models, thresholds, hardware, and response procedures are configured and validated for each deployment.
DESIGNED AROUND YOUR OPERATION
Run the core platform in your own environment using a containerized deployment. Define your storage, network access, retention, and operating responsibilities.
Use supported processing on edge devices to reduce reliance on continuous upstream connectivity. Select compute and models for the actual scene and workload.
Organize locations, cameras, devices, and operator permissions. Connect selected events to central dashboards and response workflows.
Integrate custom models, external systems, local language models, and organization-specific workflows through the platform’s extensible architecture.
CAPABILITIES, WITH CONTEXT
Capability availability and performance depend on configuration, models, camera conditions, and hardware. Advanced edge functions such as on-device ANPR, audio events, and fall detection appear in the product roadmap and should be scoped separately.
A FEW GOOD QUESTIONS
The core platform supports on-premise deployment. External integrations, map services, notifications, and update mechanisms should be reviewed against the network policy of the intended installation.
The documented Vidaria architecture supports custom ONNX models and configurable workflows. Model compatibility, inputs, outputs, and runtime performance need validation.
Reference materials describe configurations with 64+ cameras per recording node and 100+ concurrent AI streams. These are configuration-dependent figures. We size and benchmark the system for resolution, frame rate, models, hardware, retention, and redundancy.
Yes. The Experience Lab offers small interactive vision experiments. They illustrate selected capabilities and are not a performance benchmark or a live instance of Intelisurv.