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Abstract Indigo presentation of a networked hotel and event area with guests, access rights and visitor routes
All industries

AI video analytics for theLeisure and Entertainment

Protect guests, employees, buildings and event areas without having to observe any camera manually. Synaedge connects your existing cameras with automatic event detection, visual control jobs and your existing security and operating systems.

Overview of visitor flows and highly frequented areas
Detecting dangerous situations and security events early
Targeted protection of access, buildings and event areas

Direct answer

What does AI video analytics do for leisure and entertainment?

With visual AI, you can automatically evaluate the images of your existing cameras for security, visitor flow management, building operation and incident investigation. You recognise people, vehicles, objects, movements and visible hazardous situations in defined areas and provide relevant events directly to your responsible teams.

With SynaHUB, you can also automate recurring visual controls: Instead of checking regularly manually check entrances, escape routes, barriers, event spaces or service areas, allow the visible status to be documented by camera and receive a targeted message in the event of deviations.

Visitor flows

Identify high densities, directions of movement and congestion in defined areas.

Dangerous situations

Identify possible conflicts, visible weapons, falls and fire events early.

Buildings and terrain

Monitor access, outdoor areas, security zones and temporarily unstaffed areas.

Visual inspections

Automate and document recurring visual controls.

Applications for leisure and entertainment

Six application areas for your guests, buildings and event spaces.

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

Visitor steering

Crowd Management

Identify high personal densities, congestion and movement directions in defined areas and support your teams in visitor guidance.

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Mobility

Parking management

Capture occupancy, licence plates, parking times, intakes and exits as well as violations of your operational rules.

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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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Object protection

Prevention of theft and burglary

Detect unauthorised penetration, unusual dwell times and visible object changes early.

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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 before opening, before an event, after closing or after an 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 planned escape route free?”
“Is the access for emergency vehicles free?”
“Is the planned barrier completely structured?”
“Is the event area visibly prepared before admission?”
“Is the defined entrance door opened or closed?”

Priorized safety analyses

Identify visible hazards and emergencies early.

Use your camera infrastructure to target visible weapons, possible violence, eye-catching face discoveries and fallen people.

Dark Indigo Visualization to Detect a Visible Weapon in a Person
Acute threat

Weapon Detection

Detect visible firearms and static weapons in appropriate camera images and prioritise the situation for immediate human verification. Covered weapons and the intention of a person cannot be derived from the image.

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

Choose the use case for your environment.

The technical basis is comparable in all six fields of application. However, which analyses are useful and permissible for you depends on your premises, the number of visitors, the operating model, the risk profile and the legal framework.

Surveillance monitor with six AI video analyses for night operations and clubs

Nightlife Venues and Clubs

Surveillance monitor with six AI video analytics for theme parks

Amusement Parks

Platforms and deployment

Leisure and entertainment: choose the right 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

Leisure and entertainment: Check quality and limits.

You will receive an automatic evaluation of visible information within the camera view with visual AI. However, the technology does not replace your access control systems or burglar alarm systems, fire alarm systems, security teams or organisational safety measures.

Visibility limitConsider that hidden objects, invisible hazards and processes outside the camera view cannot be reliably detected.
Image boundaryPay attention to suitable perspectives, lighting and resolution. Coverage, changing light and a high crowd density can influence the quality of your analysis.
Crowd borderNote that very dense crowds can cover individuals and actions. Crowd management therefore evaluates density, flow and changes in suitable camera scenes.
Context boundaryDo not automatically rate a visual deviation as a danger. Define clear rules and schedule a human review depending on the application.
System boundaryUse visual AI as a complementary level of security. Prescribed safety measures, technical safety systems and the management of rides remain.
Privacy by DesignCheck the purpose, legal basis, retention periods, access rights and any co-determination requirements for your project. The Swiss Federal Data Protection and Information Commissioner (FDPIC) also explains the requirements for video surveillance by private organisations.

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 leisure and entertainment 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.

Can you use the same solution in hotels, casinos, clubs, stadiums and theme parks?

You can use the same technical platform. However, we adapt rules, object classes, alarm paths, authorisations and operating models to your respective environment.

Can AI video analytics prevent conflicts or ashes?

It cannot guarantee prevention. It can detect visible weapons and possible violent situations in appropriate cameras, thereby supporting faster human assessment and reaction.

Can AI reliably track individuals in a dense crowd?

Not always. Covering, perspective, lighting and crowd density influence the recognition quality. For crowd management, therefore, density, movement flow and changes within defined areas are often the focus.

Do you need facial recognition?

Not necessary. You can implement many applications with anonymous personal and object recognition. We only use identification procedures if they are necessary, technically intended and legally permitted for your task.

Can you integrate your existing security systems?

Yes. You can transfer results to VMS, PSIM, access control, building management, control centres or your own applications, depending on your existing architecture.

Is it possible for you to local or hybrid operation?

Yes. You can operate the processing on-premises, on edge systems, hybrid, or in a private cloud environment, depending on your needs.

Supporting leisure and entertainment 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