AI video analytics platform

See every threat
before it escalates.

Security Ops turns any camera into an intelligent sensor — detecting intrusions, falls, fights, weapons and abandoned objects in real time, then routing alerts to your team instantly.

Start monitoring Try it — analyze a video

Sub-second detection Multi-camera fleet 24/7 alerting ML + rules hybrid

Fight detected

Fall alert · CAM-02

LIVE · CAM-01 REC --:--:--

PERSON 98%

FIGHT

Objects

Latency

148ms

Alerts

YOLO DetectionPose EstimationFall MLFight ClassificationZone IntrusionWeapon DetectionAbandoned ObjectReal-time SSETimescaleDBKafka PipelineSub-300ms LatencyYOLO DetectionPose EstimationFall MLFight ClassificationZone IntrusionWeapon DetectionAbandoned ObjectReal-time SSETimescaleDBKafka PipelineSub-300ms Latency

Architecture

From frame to alert in milliseconds

A streaming pipeline ingests video, runs AI inference, and surfaces actionable intelligence in your dashboard.

Ingest

Frames pulled from RTSP, files, or USB cameras into Kafka.

Detect

YOLO + pose models classify objects, falls, and fights.

Aggregate

Zone rules, cooldowns, and deduplication produce clean alerts.

Respond

Stream alerts to dashboard, email, and operator workflows.

Detection engine

Seven threat types, one platform

Computer-vision models and rule engines work together to flag what matters and ignore the noise.

Object & people tracking

YOLO-powered detection with persistent tracker IDs across frames and cameras.

Zone intrusion

Draw restricted areas with schedules; get alerted the instant someone steps in.

Fall detection

Pose-based ML spots people who collapse — critical for care and safety.

Fight detection

Video-classification models recognise physical altercations between people.

Weapon & abandoned objects

Flag brandished weapons and unattended bags left stationary in a scene.

Live analytics & alerts

Streaming dashboards, latency health, and instant acknowledge/resolve workflows.

Threat types detected

<0ms

Inference latency

0/7

Continuous monitoring

∞

Cameras supported

Evidence

Detected in real footage

Frames captured by the pipeline the moment a threat was flagged — weapons, fights, falls, running and abandoned objects, each stamped with its camera, severity and capture time.