How many guests wait too long at reception?
Check-in waits weigh on first impressions and on reviews, yet they are rarely measured. Tracking reception queues by time slot lets you reinforce the front desk at the right moments.
Smart Hospitality
Lobby, restaurant, breakfast room, pool, spa: VIDEO.MA anonymously measures occupancy and flows in your common areas, as well as waiting times at reception, helping your teams anticipate peaks without compromising the guest experience.
Check-in waits weigh on first impressions and on reviews, yet they are rarely measured. Tracking reception queues by time slot lets you reinforce the front desk at the right moments.
A lounge, pool or spa with low attendance still ties up staff and maintenance. Measuring their real occupancy helps adjust opening hours and the resources assigned to them.
Breakfast peaks vary with the day and with occupancy, and rotas rarely follow that rhythm. Measuring room attendance by time band lets you size the service without waste.
Hospitality & Hotels
Group check-ins, a packed breakfast room or a crowded pool: peaks are known by instinct but rarely measured.
Waiting at check-in or check-out is one of a guest’s first impressions of the property, yet its actual duration is seldom tracked.
Without occupancy data by space and by hour, allocating staff between restaurant, front desk and leisure relies on experience alone.
Some areas are underused, others overcrowded, with no objective indicator to decide on opening hours or layout changes.
VIDEO.MA
Anonymous measurement of how many people are in the lobby, restaurant, pool, spa or gym.
Aggregated counts at the entrances of each space to understand how they are used throughout the day.
Estimated number of people waiting and wait time at the front desk, with alerts above a threshold.
Monitoring of breakfast room occupancy and waiting at the entrance or buffets to anticipate restocking and service.
Reports by day, week or season to compare space usage and adjust opening hours and staffing.
Comparing space attendance with room occupancy from your property management system, depending on its interfaces.
Number of people in each common area, measured by video.
Average time spent queuing at the front desk, estimated from video.
Time and level of peak occupancy in the breakfast room, derived from video.
Taken from your PMS; never inferred from images.
Measured attendance of a space divided by the number of in-house guests from the PMS.
Breakfast peak
164 people at 9:10 am
Average reception wait
5 min 20 s
Pool occupancy
47 people
Lobby passes
1,036
Activity per hour
Events
Identification of the areas to analyse, inventory of existing cameras and review of the privacy constraints specific to each area.
Definition of counting zones, queues and alert thresholds, excluding areas where analysis is not appropriate.
Testing at reception and in one dining area to validate accuracy and how useful the indicators are to your teams.
Extension to other areas, optional PMS integration, manager training and regular follow-up.
No. The proposed solutions count people and measure durations anonymously, with no facial recognition and no link to booking data. Processing can run on site to limit how far images travel.
The pool can generally be analysed for overall occupancy. For the spa and wellness areas, analysis is limited to entrances or excluded entirely to protect guest privacy.
Occupancy history by space and hour provides an objective basis for adjusting reception, food and beverage and activity rotas. Decisions remain with your managers, informed by measured data.
Not necessarily. Cameras covering entrances and common areas can often be reused; the audit indicates whether additional units are needed for specific indicators.
Get a quote tailored to your sites, cameras and metrics.