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Abstract Indigo display of a protected critical infrastructure with substation, server buildings and controlled access
All industries

AI video analytics forCritical Infrastructures

Protect extensive systems, sensitive operating areas and essential supply processes without having to observe any camera permanently manually. Synaedge connects your existing cameras with automatic event detection, visual control jobs and your existing security and operating systems.

Monitor perimeter and sensitive zones
Detect visible hazards and deviations early
Passing events safely into existing response processes

Direct answer

What does AI video analytics do for critical infrastructures?

With visual AI, you can automatically evaluate the images of your existing cameras for perimeter protection, access control, occupational safety and situation assessment. You detect people, vehicles, objects, movements and visible state changes in defined areas and provide relevant events directly to your responsible teams.

With SynaHUB, you can also automate recurring visual controls: Instead of checking gates, doors, escape routes or technical areas manually manually, have the visible status documented by camera and receive a targeted message in the event of deviations.

Outdoor areas

Monitor outdoor borders, access points, open spaces and difficult-to-view plant areas.

Access

Control access, safety locks and sensitive operating zones.

Dangerous situations

Detect unauthorised penetration, missing PPE and visible fire events early.

Visual inspections

Automate and document recurring visual controls.

Fields of application for critical infrastructures

Six areas of application for your plants, people and sensitive zones.

Depending on your task, we combine object recognition, tracking, zone rules, time conditions and information from your existing security systems. We validate every area of application with your real camera scenes, typical operating procedures and relevant borderline cases.

Off-road protection

Perimeter Security

Identify people or vehicles in defined outdoor areas and evaluate events by zone, direction, time and time of residence.

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Building security

Access Control

Link people, vehicle and licence-plate events at entrances, access points and sensitive transitions to your authorisations and time rules.

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Plant protection

Prevention of theft and burglary

Detect unauthorised ingress, unusual dwell times and visible object changes early and forward the events to your responsible teams.

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Safety

Occupational Safety

Identify missing PPE, falls, hazardous areas and visible safety conditions in operationally relevant camera scenes.

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Early detection

Visual Fire Detection

Detect visible smoke or open flames early and connect the message to your existing alarm and control centre systems.

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Research

Forensics and Investigation

Research people, vehicles, objects and events in extensive video archives much faster.

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SynaHUB · visual inspection tasks

Check visible states without permanently analysing any camera stream.

You have to manually check many visible states at fixed times, after maintenance work or in a defined event. With SynaHUB, you run such controls as documented inspection tasks without having to permanently analyse any camera stream.

Job-based visual AI

From the current image to your structured answer.

You determine when a camera is created by creating a current image and which question should be answered. A Vision Language Model evaluates the visible state. You will receive a documented result, which can be passed directly to your intended process.

Camera→Schedule or event→VLM exam→Result
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“Is the access gate open or closed?”
“Is the door to the technical area completely closed?”
“Is the planned escape route free?”
“Is there a vehicle in the marked safety zone?”
“Is the door of the defined control cabinet open or closed?”

Security and sabotage

Detect critical threats before this causes a security incident.

Combine your camera infrastructure with prioritised analytics for visible drones, weapons, smoke, unattended objects, tampered protective areas and unauthorised entry.

Dark indigo visualization for detecting visible drones over a protected KRITIS perimeter
Air shelter

Drone Detection

Detect visible drones in defined airspace and camera areas and pass possible events with camera, time and visual evidence to your control centre. Visual analysis can complement radar and radio sensors.

From camera view to security process

Give results to the right system with context.

A detection or visual inspection will only support you in operation when the result arrives with the correct context in your intended system.

Four different types of cameras as possible image sources for video analytics01

Check image sources

Have your existing IP cameras, access cameras and other suitable image sources technically checked.

Four different video analytics for people, vehicles, zones and visible anomalies02

Select analysis

Have security-relevant areas continuously analyse or specifically control individual images.

Visual search mask with filters for place, time, building and object03

Complement context

Supplement zone, time, permission, building, object and other operating information.

Freestanding camera hands over an event to connected operational systems04

Trigger process

Pass results to your VMS, PSIM, your access control, your security control, your building management or your own applications.

Camera→Visual AI→Event→VMS / PSIM / Access / Control column

Selected fields of application

Select the use case for your infrastructure.

The technical basis is comparable in all six fields of application. However, which analyses are sensible and permissible for you depends on your plant, the operating procedures, the risk profile and the regulatory framework.

Monitoring monitor with six AI video analyses for oil and gas plants

Oil and Gas Industry

Monitoring monitor with six AI video analytics for external areas of a nuclear power plant

Nuclear Power Plants

Monitoring monitor with six AI video analyses for substations and network stations

Substations and Grid Facilities

Surveillance monitor with six AI video analytics for data centres and server areas

Data centres

Monitoring monitor with six AI video analyses for waterworks and treatment plants

Water Utilities and Treatment Plants

Platforms and deployment

AI video analytics for critical infrastructures: choose the appropriate platform.

Depending on your task, you will receive your own Synaedge platform, established enterprise technology or a combined architecture.

Operational video analytics

Continuous AI video analytics for live camera streams

SynaEYE continuously analyses existing cameras in real time and combines detection, event logic, alerts, tracking and forensics in a European edge AI platform.

The right choice if you:
want to monitor security, safety or operational processes continuously with your cameras and process detected events immediately.

Standard analyticsVLMCustom modelsReal-timeForensic SearchAPI
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Job-based visual AI

Visual AI for freely defined inspection tasks

SynaHUB turns a visual question into an automated AI job. A camera, API or schedule supplies the image, a VLM evaluates the situation and returns a structured result.

The right choice if you:
want to inspect conditions, references, quality or individual visual questions without developing a separate analytics module for every task.

VLMPeriodic inspectionTarget vs ActualAPIStructured results
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Enterprise platform

Enterprise AI vision with maximum functional breadth

Vaidio is an established enterprise platform with an extensive catalogue of standardised video analytics, powerful forensic search and a broad integration ecosystem.

The right choice if you:
need a large, standardised enterprise environment with extensive analytics, multi-site operation and established VMS integrations.

21 AI Engines3,000+ objectsVLMCustom modelsReal-timeForensic SearchAPI
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You operate the processing according to your security, latency and privacy requirements on-premises, on edge systems, hybrid, or in a private cloud environment.

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Limits of visual AI

AI video analytics for critical infrastructures: Checking quality and limits.

You will receive an automatic evaluation of visible information within the camera view with visual AI. The technology complements your sensor technology, access control, security organisation and control centre systems, but does not replace them.

Visibility limitConsider that covered objects and operations outside the camera view cannot be reliably detected.
Sensor strengthCameras do not detect invisible gases, radiation, water pollution, electrical measured values or concealed technical defects. You will still need specialised sensor technology.
Image boundaryPay attention to suitable perspectives, lighting and resolution. Weather, pollution, discoveries and large distances can influence the quality of your analysis.
Context boundaryDo not automatically rate a visual deviation as a danger. Connect the analysis to your operating information and plan a human review depending on the application.
System boundaryUse visual AI as a complementary level of security. Prescribed safety systems and safety-critical system controls remain in the systems and responsibilities provided for this purpose.
Cybersecurity and complianceCheck network segmentation, roles, access rights, encryption, logging, update processes, retention periods and regulatory requirements for your specific location.

For locations in the EU form the GDPR, especially Art. 5, 6, 25 and 35 and the EDSA video surveillance guidelines the basis of the privacy audit. In addition, consider the law of the respective Member State, in particular employee data protection and co-determination. The duties from the EU AI Act check for the concrete use of AI.

Frequently Asked Questions

AI video analytics for critical infrastructures explained in a compact way.

Can you use your existing cameras?

In many projects yes. The image quality and perspective of your cameras, available interfaces, network access and the suitability of the respective scene for your desired analysis are decisive.

Do you need to continuously analyse all camera streams?

No. They can limit continuous analyses to safety-related areas. For recurring visual inspections, you have SynaHUB evaluate individual images at set times or by events.

Does any of the aforementioned apply automatically to KRITIS?

No. Whether your plant is legally considered a critical infrastructure depends on the respective country, your supply, its significance and possible legal thresholds. The mentioned use cases describe fields of application and do not automatically establish a legal status.

Can AI video analytics prevent sabotage?

No video analytics can prevent any attack. However, you can detect clearly defined visible events such as unauthorised intrusion, stays in restricted zones or object changes early and thereby react more quickly.

Does the solution replace fences, radar, access control or fire detectors?

No. Visual AI supplements your existing safety systems with visual context and automatic evaluation. With high protection requirements, you benefit particularly from the connection of several levels of safety.

Can you operate the systems completely locally?

Yes. Depending on your platform and project, you can process edge or local servers. Hybrid and private cloud architectures are also possible if your security and compliance requirements permit.

Can you integrate your existing security systems?

Yes. Depending on your infrastructure, we integrate existing systems via APIs, webhooks, middleware or defined data transfers. We only connect the information you need for evaluation, documentation and reaction.

Does AI control your safety-critical systems autonomously?

No. You get structured events and additional context through video analytics. Safety-critical control decisions remain in your intended systems and responsibilities.

How do you consider privacy and cybersecurity?

We plan your solution for a defined purpose and according to the principle of data minimisation. We define network segmentation, roles, access rights, encryption, retention periods, logging and update processes to suit your location.

Support critical infrastructures with visual AI

What task should your cameras take on at your location?

We test your existing cameras, define appropriate analyses and connect the results to your existing safety and operation processes.

Discuss your use case