AI video analytics · Retail
Smart retail: customer counting, less shrinkage
AI cameras for stores: hourly customer counting, heatmaps, VIP recognition and fire alerts on the cameras already installed.
Industry challenges
No real visitor numbers
How many customers came in today, which hours were busy, which store outperforms which: answering that today takes manual counting, and the numbers arrive late and skewed.
Silent inventory loss
Someone loitering by a counter without buying, suspicious behavior nobody notices. Footage only gets reviewed after goods are gone, which is too late.
Customer experience is never measured
Which area customers linger at longest, which counter gets ignored, whether anyone greets a VIP walking in. None of this is measured today; it rests on a manager's gut feel.
Many branches, complex shift schedules
Each store clocks staff in with a paper book or a standalone device, and consolidating at head office is manual work. Counter and stockroom areas need access rights per employee.
Solutions by area
Entrances and checkout counters
Counts customers in and out across several doors at once and reports how many are inside the store in real time; checkout video is exported by time window for reconciliation when numbers disagree.
Sales floor
Heatmaps show which areas customers pass through most, hour by hour, using only cameras already running object detection; dwell time at each display (Dwell) informs where to place promotions and how to staff peak hours.
VIP customer care
Registered regulars are recognized by face the moment they walk in; the responsible staff member gets a mobile app notification, an email, or an added Zalo or Telegram message so they can step up and greet the customer. Face recognition requires its own license.
Store security
Alerts when someone lingers too long at counters or high-value shelves (Dwell); detects objects left behind and smoke and fire (dedicated smoke and fire model, separate license). Helps find a lost child: upload the child's photo to locate their appearances on cameras within a time window (face recognition, separate license).
Staff areas and stockroom
Shift staff clock in and out by face, and attendance flows into HRM; the stockroom door opens itself only (connected to the existing lock system) for authorized staff, anyone off the list triggers an alert.
Can be enabled later
Camera health monitoring shows instantly which camera is blocked by shelving, knocked out of angle or offline. Privacy protection: when enabled, customer faces in search results, alerts and exported images are blurred, with an unblur permission for those who need it.
What you get
The system turns every customer visit and every corner of the store into data for business decisions.
Real footfall instead of estimates
Customers in, customers currently inside, by the hour, on the report. Staffing and shift planning rest on numbers rather than impressions.
Heatmaps reveal what draws customers
Heatmaps and dwell time at each display show which areas get attention. Displays and promotions are adjusted week by week, season by season, from data.
Regulars greeted at the right moment
A VIP walking in immediately notifies the responsible staff with a photo. Every visit gets the same greeting, independent of who happens to recognize the face.
Shrinkage leaves a trail to review
Loitering at counters and high-value shelves raises alerts with video. Checkout footage is exported by time window for reconciliation instead of watching hours of recordings.
Many branches run from one place
Cameras across branches come together in Vaidio Command Center for centralized alerts and search. Shift staff hours are recorded by face and flow straight into HR software.
How deployment works
Step 1
Store survey
Check that cameras at entrances, checkout and the sales floor have the resolution and angle each feature needs; learn the HR software currently in use.
Step 2
Configure by area
Draw counting zones at each entrance, heatmap zones on the floor and security alert areas; load the lists of regulars and staff.
Step 3
Connect existing systems
Attendance flows into HR software; alerts go to the mobile app and email, with optional Zalo and Telegram delivery to the right owner of each counter and branch.
Step 4
Training and handover
Store managers learn to read traffic reports and heatmaps and to triage alerts; support continues until every branch runs steadily.
Infrastructure requirements: IP cameras from 720p, 2MP recommended. The server sits at a large store or company office; smaller stores use Edge devices. Existing cameras, recorders and network stay as they are.
Related features
Put AI Vision to work in your operations
Turbo Solutions surveys your current system, demos against your real operating scenarios and quotes by scope of work. No disruption to daily operations.
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