How many spaces sit empty while drivers turn back?
When signage does not reflect real occupancy, drivers leave even though spaces are free elsewhere. Measuring occupancy by zone helps direct vehicles better and fill the car park.
Smart Parking
Know how full your car parks are, in real time
VIDEO.MA analyses your camera feeds to count vehicles at access points, detect free and occupied spaces and measure how long vehicles stay. Indicators are reported in aggregate, without identifying drivers.
What it is costing you today
Free auditDoes your pricing match real parking durations?
Without measured durations, your tariff grid rests on assumptions. Knowing the actual spread of parking times helps you adjust prices and rules with full knowledge of the facts.
How many hours of saturation go unnoticed?
Saturation peaks are often known from complaints rather than from figures. Measuring them by hour and by zone helps decide on an extension, new signage or better access management.
Parking & Mobility
Industry challenges
Free spaces nobody can see
Drivers circle looking for a space while bays remain free on other levels or in other zones.
Real occupancy that goes unmeasured
Without reliable counting, operators know neither the saturation hours nor the actual utilisation of each zone.
Unknown parking durations
Vehicle turnover and long-stay parking are hard to quantify, especially in free or customer car parks.
Planning decisions without data
Extensions, pricing or reallocation of spaces are decided without usable occupancy history.
VIDEO.MA
What VIDEO.MA delivers
Vehicle counting at access points
Per projectEntry and exit counts per access point and per time slot, to know how many vehicles are on site.
Free and occupied space detection
Per projectStatus of each space or zone, from cameras covering the parking bays.
Occupancy rate by zone
Per projectOccupancy by level, row or zone, in real time and as historical data.
Parking duration
Per projectHow long each space or zone is occupied, and detection of overstays, without identifying the vehicle.
Saturation alerts
Per projectAlerts when a level or zone exceeds a configured occupancy threshold, to redirect traffic or notify staff.
Licence plate recognition (LPR / ANPR)
Feasibility studyAutomatic plate reading processes personal data. It is only considered after a legal and technical review, and subject to the formalities required by Law 09-08.
Dynamic signage and multi-site dashboards
Coming soonPublishing available spaces to signs or apps, and multi-site consolidation, planned for the upcoming SaaS platform.
Example metrics
Vehicles on site
Video dataEntries minus exits counted by video at access points.
Available spaces
Video dataNumber of spaces detected as free, by zone or level, derived from video.
Hourly occupancy rate
Video dataOccupancy trend by hour and day of the week, measured by video.
Average parking duration
Video dataAverage occupancy time of monitored spaces, without identifying vehicles.
Parking revenue
Business integrationAmounts from your barrier or payment system, when integrated.
Dashboard preview
Dashboard · Shopping Centre Car Park — LiveDemo data
Vehicles on site
412
Available spaces
138
Occupancy rate
75%
Average stay
1 h 52 min
Activity per hour
Events
- Level -1 at 95% — saturated
- Entry peak — North access, 6:05 pm
- Accessible bay B12 occupied for over 4 h
Deployment approach
- 1
Site audit
Survey of access points, levels and zones, inventory of cameras and lighting, and definition of the occupancy indicators required.
- 2
Access point and space configuration
Setup of counting lines at access points, monitored zones and spaces, and saturation thresholds.
- 3
Pilot on one level or zone
Counts and space status are compared with on-site checks, by day and by night, to validate accuracy.
- 4
Rollout and operation
Extension to the whole site, optional connection to the barrier system and ongoing data quality monitoring.
Prerequisites, limitations and privacy
- Space-by-space detection requires adequate visual coverage of each bay; outdoors, weather, shadows and night lighting affect accuracy.
- Access counting and occupancy work without reading plates. Licence plate recognition is personal data processing under Law 09-08 and requires a legal review and prior CNDP formalities.
- The car park operator remains the data controller and is responsible for informing users; VIDEO.MA can help prepare the formalities.
- Revenue is never inferred from video: it comes from the barrier or payment system when integrated.
Frequently asked questions
Do we need one camera per space?
No. A well-placed camera can cover several spaces, or even a full row, depending on mounting height and layout. For an overall occupancy rate, counting at access points may be enough.
Do you read licence plates?
Not by default. Plate reading is personal data processing subject to Law 09-08; it is only considered after a legal and technical review and once the operator has completed the CNDP formalities.
Does it work at night and outdoors?
Yes, provided lighting or cameras (infrared, low-light) are suitable. Accuracy can vary with rain, backlighting or shadows; these conditions are tested during the pilot.
Can available spaces be shown to drivers?
Occupancy data can be fed to an existing signage system, subject to an integration study. Standardised publishing to signs and apps is planned for the upcoming SaaS platform.
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