How many customers leave the branch before being served?
A customer who walks out in front of a long queue appears in no branch indicator. Measuring real waiting time by time slot lets you open an extra counter at the right moment.
Smart Vision for banking
VIDEO.MA turns your branch cameras into operational indicators: queues, estimated waiting time, footfall by time slot and ATM-area activity. These analytics complement your certified security systems and existing procedures, and never replace them.
A customer who walks out in front of a long queue appears in no branch indicator. Measuring real waiting time by time slot lets you open an extra counter at the right moment.
Rotas often rely on averages that smooth out the start-of-month or end-of-day peaks. Knowing footfall hour by hour helps assign advisers where the waiting actually builds up.
Comparing branches without consistent footfall data means comparing impressions. Indicators measured the same way at every site help decide on hours, staffing and layout.
Banking & Financial Institutions
The wait customers experience is rarely quantified reliably, especially when not everyone takes a ticket.
Without data by time slot, it is hard to align open counters and advisor availability with actual peaks.
Branch networks lack consistent indicators to compare footfall and waiting times from one site to another.
Self-service areas stay accessible outside opening hours, and unusual situations can go unnoticed.
VIDEO.MA
Measurement of the number of people queuing, with an alert when a configurable threshold is exceeded.
Estimated average time spent in the waiting area, calculated in an aggregated, anonymous way.
Entry counts and lobby occupancy by time slot, to adjust team organisation.
Aggregated occupancy of counter, advisory and self-service zones, with no individual tracking of staff or customers.
Flagging of unusual situations, such as prolonged presence, so that authorised teams can check.
Notification of presence in defined zones outside opening hours, in addition to certified intrusion systems.
Matching video measurements with data from a ticketing or appointment system, depending on available interfaces.
Automated comparison of indicators across branches, planned for the future multi-site SaaS platform.
Average time spent in the waiting area, per time slot.
Number of people waiting, live value and peak per period.
Aggregated branch entries in 30-minute slots.
Occupancy rate of the lobby, counters and self-service area.
Ticket or appointment volume from the queue-management system, when integrated.
Comparison of the wait observed on video with the wait calculated by the ticketing system.
Entries
214
Est. average wait
7 min
Peak queue
9 people
Busiest slot
11:00 – 11:30
Activity per hour
Events
Review of installed cameras, pilot branch layouts and security constraints, in coordination with security and compliance teams.
Definition of waiting, counter and ATM zones, alert thresholds and analysis time slots.
Go-live in one or a few branches, validation of measurement accuracy and of the alert-handling workflow.
Phased extension across the network, consolidation of indicators, and maintenance of equipment and models.
The system measures, in aggregate, the time spent in a defined waiting zone, without identifying anyone. The result is a statistical estimate whose accuracy is checked during the pilot.
No. VIDEO.MA provides operational indicators and assistance alerts. Certified alarm, remote monitoring and security procedures stay in place and take priority.
Processing can run on Edge AI inside the branch. Only aggregated indicators are then transmitted, according to the architecture agreed with your IT and security teams.
Yes, provided the same indicators are configured at each site. Automated self-service benchmarking is planned for the future SaaS platform; today, consolidation is handled as part of the project.
Get a quote tailored to your sites, cameras and metrics.