Your cameras already see the counter, the till and the kitchen all day. Performance Tracker reads that footage for you and tells the owner, in plain words, what needs attention — cash handling, customers left waiting, food dropped on the floor, and who was on shift.
Most restaurant CCTV is only watched after something has gone wrong. Nobody has time to sit through twelve hours of footage from six cameras to find the two minutes that mattered. AI CCTV analytics does that watching for you: it reads every camera continuously, keeps the moments that matter, and turns them into a short list a manager can check in five minutes at the end of the day.
Performance Tracker was built alongside a busy café, with the owner and the store manager telling us what was useful and what was noise. The result is a dashboard that answers the questions they asked every day:
The till camera watches hands, not money. It finds the specific moments a manager would want to see, and nothing else.
The counter camera sees the customer side. When a customer stands at the counter and nobody has come to the till for them at all, that is a service problem, and it is reported with the time and a photo. Once someone has taken the order, a customer waiting while the staff make their coffee or sandwich is normal — it is not flagged, because the person who took the order is now busy preparing it.
For each hour you can see how many customers came to the counter, how long they waited before someone was at the till, and how many left without being served. The busiest hours and the slowest service are easy to spot, which makes staffing the shift a decision based on numbers rather than a feeling.
The seating cameras add a picture of the customers themselves: one snapshot each, when they came in and left, roughly how long they stayed and sat, and whether the same face was seen on an earlier day. Staff in uniform are kept out of the list. These numbers are estimates from camera samples — useful for comparing days and hours, and labelled as such.
Every alert, unserved customer and broken standard adds points; anything a manager has checked and marked Fine adds none. The day lands on Clear, Low, Elevated or High.
Hand to pocket, till used with no customer, camera turned away from the till.
Customers not served, long waits for the till, customers who left with nobody at the till.
Possible dropped items behind the counter, with photos from before, during and after.
Your own store standards — such as order taken within two minutes — checked hour by hour against the numbers.
The first screen of the dashboard is an Overview: Good, Watch or Act now for staff, service and the till, and a short "What to do" list — "look at the three hand-to-pocket photos", "find out who moved the till camera", "two customers left unserved at 18:40". Each line opens only the cases behind it, with the photos and a link to the recording. Store managers who don't read dashboards can still run the day from it.
Employees are enrolled with a few photos. The system recognises them on the counter and kitchen cameras, follows them across cameras by face and uniform, and records arrival, departure and time on the floor. Late arrivals are only shown against each person's own working hours, and a night shift that runs past midnight is kept on the right day. See CCTV face-recognition attendance for how it works.
We serve restaurants, cafés, bakeries and quick-service outlets in Pakistan, the UAE and the wider GCC. If you run a chain, start with the branch that worries you most and add the rest once the numbers have earned your trust.
It flags the moments worth checking: a hand going from the till to a pocket shortly after handling the till, and the till or POS being used when no customer is at the counter. The camera sees hands and bodies, not banknotes, so every alert comes with photos and a manager marks it Fine or Suspicious — it never accuses anyone on its own.
No. It uses the cameras your NVR already records — usually one camera that sees the till and the cashier, and one that sees the customer side of the counter. Hikvision and Dahua NVRs are supported over standard RTSP.
Staff are enrolled with photos and are also recognised by uniform — a cap and shirt in the house colours — so people in uniform are not counted as customers. Managers in a different uniform can be added too.
Each watched camera is compared with a reference picture of its normal view. If it stays pointed somewhere else for a minute, its alerts pause and the owner gets one "camera turned away" alert at the top of the daily summary.
The count from the seating and counter cameras is an estimate, because the same customer appears on several cameras. For an exact count you add a people counter on the entrance camera or compare with POS bills; we tell you which number is which.
Yes. Each branch has its own cameras and data, and you switch between branches from the top bar of one dashboard.
Tell us about your site and cameras and we'll walk you through a live dashboard.
