Detect defined safety conditions and route evidence to the responsible team.
Computer vision that works with existing camera infrastructure.
Rennix AI designs local and edge video analytics for safety, security and operations. Video can remain on-site while the system produces events, evidence and alerts.
Edge video pipeline
ObserveExisting CCTV, NVR or VMS streams
DetectLocal models evaluate defined events and zones
RespondCreate alerts and evidence for authorized teams
Operational video use cases
Computer vision adds value when teams need timely, consistent awareness across camera feeds without sending all video to a third-party cloud.
Monitor restricted zones, access violations, people and vehicles.
Measure events and activity patterns that are difficult to observe manually.
Private by deployment design
The system can process streams close to the cameras and expose only the events and evidence the organization chooses.
- Compatibility assessment for CCTV, NVR and VMS
- Edge sizing for stream count, resolution and latency
- Event thresholds, review workflow and false-alert evaluation
- Retention, access, evidence export and audit controls
From idea to an operating system
Each phase produces a clear decision or piece of evidence before the next investment is made.
DiscoverConfirm the workflow, users, evidence and constraints.
DesignChoose the architecture, controls and measurable acceptance criteria.
PilotTest with representative data and real operational scenarios.
OperateDeploy with monitoring, ownership, support and a change process.
Frequently asked questions
Can computer vision use our existing cameras?
Often yes. Compatibility depends on stream protocols, available resolution, frame rate, network access and the current NVR or VMS.
Does video need to leave our site?
No. Edge or on-premise processing can keep live video within the organization's environment.
How do you measure detection quality?
A pilot uses representative video and agreed scenarios to measure misses, false alerts, latency and operational usefulness before rollout.
Start with a clear operational problem.
We will help you evaluate value, data, risk and the right deployment path before committing to a build.
Book a discovery session