Branch Queue and Footfall Analytics

• Head of Branch Banking
• Regional Branch Manager
• Branch Operations Excellence Lead
• Chief Information Security Officer

Branch managers know their busy days, but rarely have data on how long customers queue at cash counters, how footfall shifts across the month or which branches are short-staffed at pension and salary peaks. Token systems record service time only once a ticket is issued, and many customers never take one.

We build an edge analytics service that reads the video streams your branch cameras already produce and outputs only anonymous counts. A detection model counts people entering, estimates queue length in defined zones such as the cash counter, passbook printer and enquiry desk, and derives approximate wait times from queue movement. No faces are recognised, no identities are stored and video does not leave the branch network; only aggregated numbers reach a central dashboard. Regional managers see footfall and queue patterns by branch and hour, and branch managers get alerts when a queue passes a threshold they set, so they can open another counter.

• People counting at entrances from existing CCTV, processed on an edge device in the branch
• Zone-based queue length and wait-time estimates for cash, enquiry and service counters
• Counter open or closed status from zone occupancy, without identifying staff
• Configurable queue alerts to branch managers by app or SMS
• Hourly, daily and month-end demand patterns across branches for rostering
• Optional after-hours ATM lobby occupancy alerts for the security team

1. 01Map the branchFor each camera we mark entry lines and queue zones with the branch team, and record which areas are excluded.
2. 02Process video on siteAn edge device reads camera streams over the branch network and runs detection without storing video.
3. 03Count and estimatePeople crossing entry lines and standing in queue zones are counted, and wait times are estimated from queue movement.
4. 04Check thresholdsWhen a queue or wait estimate passes the branch threshold, an alert goes to the branch manager.
5. 05Branch manager actsThe manager opens a counter or redirects customers, and marks the alert as useful or not.
6. 06Plan centrallyAggregated counts feed regional dashboards and staffing plans.

1. Cameras and network
   • Existing IP cameras or NVR streams over RTSP
   • Isolated branch network segment for the edge device
2. Edge processing
   • Person detection model on an edge device
   • Zone and line configuration per camera
   • Queue length and wait-time estimator
   • In-memory processing with no video storage
3. Alerts
   • Threshold engine per branch and zone
   • Branch manager notifications by app or SMS
4. Central reporting
   • Aggregated metrics store
   • Regional and branch dashboards
   • Device health and model monitoring
5. Governance
   • Privacy configuration register
   • Customer notice and signage templates

Branch managers decide how to respond to every alert, and regional teams decide staffing changes from the trends. People set and approve zone layouts and thresholds, and any change to what the cameras are used for goes through the bank's information security review.

• Branch CCTV and NVR systems
• Queue management or token system
• HRMS or rostering tool
• BI dashboard tools such as Power BI
• Bank SMS gateway or internal messaging app for alerts

• No face recognition, identity matching or individual tracking
• Video processed in memory on site; only counts leave the branch
• Strong room, locker area and staff-only zones excluded by configuration
• No metrics on individual employee productivity
• Branch notice telling customers that cameras support anonymous queue counts

• Designed for data minimisation under the DPDP Act 2023: no identification, no video export and aggregate output only.
• Edge devices are managed under the bank's IT governance and information security controls.

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