RennixEye

Turn existing CCTV into intelligent monitoring.

RennixEye is an AI-powered video analytics platform that connects to current cameras and NVRs, analyzes live video streams in real time, detects predefined incidents, and generates alerts with visual evidence through a centralized dashboard.

RennixEye detecting a group incident from CCTV footage
RennixEye fire incident detection
RennixEye face and license plate detection

Camera streams become real-time decisions.

RennixEye adds an intelligence layer on top of existing surveillance infrastructure. It connects to RTSP streams, NVRs, or compatible video management systems and applies computer vision rules based on zones, schedules, objects, and client-defined alert conditions.

01

Video input

Connect existing CCTV cameras, NVRs, or VMS platforms without replacing camera hardware.

02

AI processing

Detect people, vehicles, objects, movements, and event patterns in live video.

03

Rule engine

Apply zones, schedules, thresholds, and incident definitions for each site.

04

Alert evidence

Generate notifications, snapshots, short clips, and dashboard items for review.

Built for sensitive environments.

Video is among the most sensitive data an organization owns. RennixEye is designed for on-premise deployment so footage can be processed inside the client's controlled environment.

On-premise processing

Analyze video locally to support privacy, security, and operational compliance requirements.

Camera agnostic

Use compatible RTSP feeds and NVR integrations instead of forcing camera replacement.

Evidence-first alerts

Each alert can include snapshots or clips so operators can verify incidents quickly.

Use cases for security, safety, and operations.

RennixEye can be configured around the operational risks of universities, factories, warehouses, government facilities, campuses, and public areas.

Security monitoring

  • Unauthorized access into restricted zones.
  • Movement after working hours.
  • Loitering or unusual activity.

Safety and compliance

  • Overcrowding and crowd density thresholds.
  • Vehicle or pedestrian violations.
  • Safety violations based on site rules.

Custom detection

  • Object detection for client-specific needs.
  • Littering or environmental violations.
  • Optional face recognition where legally permitted.

A decision-support layer for surveillance teams.

RennixEye reduces manual monitoring load, improves response time, and gives teams documented evidence for incident review.

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