AI video analytics for Parking and Access

AI video analytics for parking and access automatically records occupancy, licence plates, entries and exits, parking duration and defined rule violations. ParkingManager.AI combines this information into complete parking records and operational workflows.

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Track occupancyAutomate parking workflowsManage access and rules

Direct answer

What does parking and access achieve with AI video analytics?

AI video analytics recognises vehicles, licence plates and the occupancy of defined parking spaces or areas. Entries and exits can be connected to parking operations and compared with permissions, reservations, time rules or parking conditions. ParkingManager.AI connects vehicle and licence plate recognition with occupancy, parking time, rules and operational processing.

Short definition

From the camera view to a complete parking record.

ObjectiveUse and manage parking areas efficientlyDetectionVehicles, licence plates, occupancy and durationRulesPermissions, reservations, time limits and park violationsIntegrationbarriers, payment systems, specialist applications and APIs

Relevant visual signals

Parking and access: What does video analytics recognise?

Depending on the parking area and operator workflow, several analysis functions can be combined with each other. ParkingManager.AI combines the visual events to traceable parking operations.

Abstract visualization of an intelligent park access with licence plate recognition, barrier and digitally recorded parking spaces

Pitch occupancy

The analysis detects whether defined parking spaces are free or occupied and calculates current occupancy and utilisation. The data can be provided for dashboards, control systems or other parking processes.

Licence plate recognition

Visible vehicle identification marks are automatically read and connected to the camera, time and vehicle event. This allows permissions, reservations and defined reference lists to be considered.

Viewing licence plate recognition

Abstract visualization: entrances and exits.

Entrance and exits

Licence plate and vehicle recognition link entry and exit into a parking session. This makes arrival, departure and dwell time traceable automatically.

Park violations

The system can detect defined rule deviations such as crossed parking time, parking in restricted areas, unauthorised use or parking outside defined areas. The set of rules determines which process is considered to be violence.

Permissions and reservations

Bank licence plates can be compared with whitelists, visitor registrations, employee permissions or reservations. This checks whether a vehicle is eligible for location, period or parking space.

Traffic flow and direction

Vehicle movements in access roads, tramlines and parking areas are evaluated. Unusual directions or unusual movements can be recorded as additional events.

Explore wrong-way detection

From camera image to parking process

How is parking and access with AI implemented?

The solution combines cameras and vehicle analysis with the actual rules of the operator.

Symbolic representation of location, time and object as criteria for a visual inspection.

Defining parking areas

parking spaces, access roads, exits, barrier areas and other relevant areas are clearly defined.

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

Check cameras

Perspective, number of mark visibility, lighting, vehicle speed and existing camera coverage are evaluated.

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

Define rules

Parking duration, permissions, reservations, whitelists and other operator rules are mapped in the system.

Camera hands over an event to connected security and operating systems

Integrating processes

ParkingManager.AI connects the results with the dashboard, barrier, payment, administration or via REST API with existing operational systems.

Process chainVEHICLES - KNOW / STELLPLATZÃ... PARKSESSION - RULES FOR PROCESS

Typical operational situations

Parking and access: Connecting cameras and response paths.

ParkingManager.AI is suitable from individual parking spaces to distributed locations with different parking and access rules.

Cities and villages

Monitor public parking areas, short-term areas and defined special zones for occupancy, parking time and deviations.

Corporate and Campus Environments

Assign employee, visitor, service-provider and delivery vehicles to different access and parking rules using licence plates, authorisations and reservations.

Retail and shopping malls

Analyse customer parking spaces for occupancy and dwell time, as well as automatically consider time limits and defined authorisations.

Hotels and Hospitality

Connect guest, visitor and employee parking with reservation or authorisation information.

Logistics and business

Integrating access, waiting areas, loading areas and defined groups of vehicles into digital operating processes based on licence plates and time rules.

Technological implementation

Connect analysis platforms and ParkingManager.AI to a parking process.

SynaEYE performs continuous vehicle and licence plate analysis, Vaidio complements broad enterprise and multi-site functions. ParkingManager.AI brings the results together as a specialised solution with occupancy, parking sessions, rules and integrations.

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 analytics
VLM
Custom models
Real-time
Forensic search
API

Explore SynaEYE

Enterprise platform

Enterprise Visual AI 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 a broad analytics portfolio, multi-site operation and established VMS integrations.

21 AI Engines
3,000+ objects
VLM
Custom models
Real-time
Forensic search
API

Explore Vaidio

Parking and access solution

ParkingManager.AI

ParkingManager.AI connects occupancy, licence plates, parking time, permissions and operator rules to complete parking sessions and operational parking processes.

Occupancy
LPR
Rules
parking sessions

View solution

Responsibility and limits

Reliable parking analytics requires visibility, clear rules and traceable evidence.

Reliable parking analytics requires suitable camera views and clearly defined operator rules.

Visibility limitOccluded vehicles, poorly visible parking spaces and areas outside the camera view cannot be evaluated reliably.

Licence limitDirt, reflections, unfavourable angles, speed or poor lighting can affect the licence plate recognition. Specially designed LPR cameras can be useful for demanding access roads.

Rule limitThe AI detects the vehicle, licence plate, position and dwell time. The configured rules determine whether this constitutes a parking violation. Special permits, loading operations, visitors and other authorised exceptions must be taken into account.

Detection limitAn automatically recognised event should be documented and examined in a comprehensible manner if legal or financial consequences arise from it.

System boundaryAI video analytics supports digital parking management. Where official controls, legally regulated measuring systems or other legal procedures are required, the camera does not automatically replace them.

Privacy by Design

Licence plate data is processed only for as long as the parking process requires it. Licence plates may be personal data, so collection, storage and access are aligned with the specific parking or access purpose.

Use key licence data only for defined parking and access processes
No automatic identification of the driver or holder
No automatic attribution of blame due to detection
Limit whitelists and reservations to necessary data
Save event images only where they are required for the process
Authorised roles and recorded access
Defined retention and retention periods
Comprehensible human review in legally or financially relevant processes

Assess data protection requirements for your specific use case. For EU locations, refer to the GDPR and the EDPB guidelines on video surveillance. Also consider the requirements of the EU AI Act, where applicable to your use case.

For private operators in Switzerland, the FDPIC guidance on video surveillance guidance.

Frequently asked questions

Parking and Access explained in brief.

What does parking and access achieve with AI video analytics?

The analytics detect vehicles, licence plates, occupancy, entries and exits, and parking duration. ParkingManager.AI combines this information with permissions, reservations and operator rules to create complete parking records.

Can existing cameras be reused?

In many cases yes. Perspective, lighting, licence plate size, vehicle speed and parking space visibility are checked with representative scenes. Specially designed LPR cameras can be useful for demanding access roads.

How are entrances and exits connected to a parking session?

Vehicle and licence plate recognition link the entry, exit, location and time to the same parking event. This provides arrival, departure and dwell-time data for subsequent rule evaluation.

When does the system recognise a parking violation?

A technical event becomes a parking violation only when it meets the configured rules. Time limits, restricted areas, permissions, reservations and authorised exceptions must therefore be defined clearly in advance.

Which platforms and solutions are used?

SynaEYE is suitable for continuous vehicle and licence plate analysis, Vaidio for broad enterprise and multi-site requirements. ParkingManager.AI brings together occupancy, parking sessions, rules and specialist processes as a specialist operational solution.

Can ParkingManager.AI connect barriers, payment systems or specialist applications?

Yes. Results can be connected to existing operational systems with barriers, payment, management, dashboards or via REST API. The specific integration depends on the operator workflow.

How is licence plate data processed in compliance with data-protection requirements?

Purpose, roles, access, logging, storage location and retention periods are aligned in the specific parking or access process. Identification data and event images are only processed as long and as comprehensively as the defined purpose requires.

From the idea to validated operation

ParkingManager.AI for your space.

We check parking areas, cameras, number of mark visibility, rules, integrations and the operational operation process.

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