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AI VIDEO ANALYTICS.
WITH SYNAEYE.

SynaEYE connects your cameras with analytics, rules, alerting and search. Your team sees what is happening, reviews relevant events and initiates the appropriate next steps.

  • Existing cameras
  • Process locally
  • Extend flexibly
SynaEYE · Alert dashboard
SynaEYE: event overview with preview images, camera filters and timestamps in dark mode.SynaEYE: event overview with preview images, camera filters and timestamps in light mode.
A look inside the SynaEYE interface

What is SynaEYE?

SynaEYE is Synaedge’s platform for continuous AI video analytics. It connects existing cameras with analytics, event rules, alerting and video search. Organisations gain one interface for detecting and reviewing relevant events and passing them to teams or connected systems.

Deployment
Security, operational processes, vehicles and visitor analytics.
Operations
On site, on your own servers or in a coordinated hybrid architecture.
Extension
Custom models, operational rules and interfaces to existing systems.

What should your camera
detect for you?

One camera can perform several tasks. The right analytics depend on your scene, image quality and the outcome you need in daily operations.

Abstract museum scene with a person, protected zones and a time reference for access monitoring.

Assess access and protected zones in context.

Combine intrusion, visible weapons, fire and smoke or abandoned-object detection with your zones and alerting routes.

For example: a person enters a protected area after operating hours. The zone and time window determine whether this creates a case for your team.

SynaEYE analytics
at a glance.

Combine the right analytics with your zones, time windows and operational rules. We use your camera images to determine which modules you need.

Security & safety

  • Intrusion
  • PPE Detection
  • Person down
  • Fire and smoke
  • Weapon Detection
  • Violence Detection
  • Mask detection (e.g. balaclavas)
  • Abandoned Object Detection

Vehicles & movement

  • LPR
  • Vehicle theft detection
  • Speed
  • Accident Detection
  • Wrong-way Detection
  • Line Counting
  • Persistent tracking

Spaces & processes

  • Crowd Monitoring
  • Heatmaps
  • Retail Analytics
  • Change
  • Reference Condition
  • Conveyor belt

Objects & image understanding

  • Object Detection
  • QR and Barcode Detection
  • Natural Language Search
  • VLM analysis

LPR stands for number plate recognition. A Vision Language Model (VLM) adds natural-language questions about images to the analytics.

All AI Video Analytics

How an image becomes
into a relevant event.

You decide which observations matter to your operation. SynaEYE combines detections with time, location and your rules, through to review and the appropriate handover.

  1. Dark 3D graphic of several cameras connected to a shared network.
    01

    Capture image

    Suitable cameras provide images from your areas.

  2. Dark 3D graphic with four analytics views for a person, vehicle, zone and smoke.
    02

    Detect an event

    Analytics inspect objects, movements and visible conditions.

  3. Dark 3D graphic of an analytics monitor linked to location, time, zone and object.
    03

    Verify context

    Rules combine zone, time, duration and confirmation.

  4. Dark 3D graphic showing camera events routed to access control, the control room, building systems and alerting.
    04

    Trigger an action

    Your team or a connected system receives the relevant case.

Which conditions can be combined?

Define which objects are relevant in each zone and at which times. Minimum duration, direction of movement and repeated confirmation help align alerts with your actual task.

How does a vision language model help?

A VLM evaluates visible content in response to a question. It can complement specialised detection or describe changes. Multiple images can be evaluated for sequences over time, with the result reviewed in the relevant image context.

How does this become an alert or workflow?

Define which event may trigger an alert, a human review or a handover to another system. Image evidence, timestamps and processing status make the workflow traceable.

One interface.
Your complete workflow.

Explore nine views from the SynaEYE platform, from live images and events to investigation and visitor analytics. Select a view and display the interface in light or dark mode.

Start locally.
Extend as needed.

Cameras and analytics remain separate. You can continue using suitable image sources and run SynaEYE on site, on your own servers or in a coordinated hybrid architecture.

Your cameras

Suitable IP cameras and existing video infrastructure.

SynaEYE

Analytics and event processing within your controlled infrastructure.

  • Detect
  • Verify
  • Document

Your team & your systems

Dashboard, control room, workflow and connected applications.

Cameras & VMS

Suitable IP cameras can be connected via RTSP or ONVIF. We assess the specific connection and image quality using your existing infrastructure. A compatible video management system can be included in the workflow.

Sites & operations

SynaEYE can run on site, on your own servers or in a coordinated hybrid architecture. For multiple sites, local analytics can be combined with central management.

Models & interfaces

Custom classes, models and workflows extend the standard analytics. REST APIs connect events with control rooms, access control, building systems or your business applications.

Data & permissions

Processing location, user permissions and retention are defined for the deployment. A local installation supports control over your video data; permitted use must be clarified for the specific purpose.

We assess cameras, data paths and interfaces in your actual environment.

Discuss integration

Good to know before you start.

What is SynaEYE?

SynaEYE is Synaedge’s platform for continuous AI video analytics. It connects existing cameras with analytics, event rules, alerting and video search. Organisations gain one interface for detecting and reviewing relevant events and passing them to teams or connected systems.

Can I continue using my existing cameras?

Suitable IP cameras can be connected via RTSP or ONVIF. Whether your cameras are suitable for the required analytics depends on factors including angle of view, resolution, lighting and frame rate.

Do my video images need to be sent to an external cloud?

An external cloud is not required. SynaEYE can process video streams, analytics, events and search data within your controlled infrastructure. We define the right operating model together.

Which AI video analytics are available?

The range extends from object, person and vehicle analytics to security and operational tasks, retail insights, forensics and VLM-assisted image analysis. We select the modules according to your task and the available camera images.

Can custom models and rules be added?

Yes. SynaEYE can incorporate custom object classes, models and rules. Your own datasets and optional training servers support development; new capabilities are tested with real scenes.

How does SynaEYE differ from SynaHUB?

SynaEYE is designed for continuous camera streams and operational events. SynaHUB organises freely definable visual inspection tasks and jobs. The key distinction is whether you need a continuous camera workflow or individual inspection jobs.

Does every detection trigger an alert immediately?

No. You define which conditions must be met and which next step is permitted. Time, zone, duration and additional confirmations can be included. Your team can review relevant cases before any further action.

How do we get started with SynaEYE?

We clarify your task, assess representative camera images and define a manageable pilot scope. We then evaluate the results together and plan the connection, operation and possible additional sites.

Your cameras.
Your task. A focused pilot.

Show us what you want to detect or improve. We assess your camera images, the right analytics and the next step towards deployment.

SynaEYE