
Footfall and live occupancy
Visitors in and out, and how many are inside right now, for every store.
Restaurants and QSR.
Quick-service restaurants, cafés and food courts. Iron switches on 5 packs with 44 ready-made AI use cases for restaurants and QSR, so your cameras start working the day they are added.
Who comes in, when, where they go and how long they stay.

Visitors in and out, and how many are inside right now, for every store.

Customer counts with employees and salespeople removed, using enrolled staff faces.
Rolling out
Hour-by-hour and day-by-day patterns to plan staffing and shifts.
Ready
Footfall, waiting, alerts and staffing side by side, adjusted for traffic.
New
Where shoppers walk and stop on each floor.
Validating
Visits and time spent at displays, categories and promotions.
Validating
Who your visitors are, by gender and age band, without storing faces.
Rolling out
How visitors arrive: alone, as couples, families or groups.
New
Spots delivery riders (Swiggy, Zomato, Blinkit, Zepto and others), with or without cartons, and keeps them out of customer counts.
New
Recognises regular and high-value customers at the door, so the owner can receive them personally.
Rolling outQueues, waiting, service time and counters that need staff.

Alerts when too many are waiting, so another counter opens in time.
Ready
How long each customer waits, and how long they are served, per counter.
Rolling out
Customers who joined a queue and walked away before being served.
New
Customers left waiting at a counter or zone with nobody to help, and how long until someone came.
New
Billing, reception and service desks left without staff during open hours.
Ready
How long staff spend with customers in each zone, and how many customers get help.
New
Queue length and waiting time in darshan lines, ticket counters and security checks.
Ready
Queue length and waiting at OPD registration, billing and pharmacy counters.
Ready
Banking halls getting crowded, so another counter opens.
ValidatingOpening hours, after-hours, restricted areas, hygiene and hazards.

When each store actually opened and closed, against its schedule.
Rolling out
Anyone inside the store after closing, with the clip.
Ready
Entry into stockrooms, cash offices, server rooms and staff-only areas.
Ready
Intrusion alarms that know who it is: staff on your lists let through, anyone on a banned list named, strangers raised as usual.

Sudden gatherings and crowded areas in stores, branches and campuses.
Ready
Tables left dirty after customers leave, and how fast they get cleared.
Rolling out
Free and occupied tables right now, and how busy seating gets.
Ready
Checks scheduled cleaning rounds happened, with an audit trail.
New
Visible empty shelf space in chosen aisles, checked through the day.
Validating
Spills, obstructions and blocked fire exits where people walk.
Validating
Early warning when smoke or flames are seen on camera.
Validating
Shutters, gates, fire doors and cold-room doors left open too long.
Validating
Boxes, trolleys and locked shutters blocking fire exits and escape routes.
ValidatingAttendance, uniforms, grooming and staff on the floor.

Who came in, when, how long they stayed, and time away during the shift.
Rolling out
Attendance by face for classrooms, gates and libraries, with consent.
Validating
Checks staff are in the right uniform, every day, per store.
Rolling out
Caps, hairnets and grooming rules in kitchens, counters and food areas.
New
Alerts when a classroom or play area has children but no adult, beyond a set time.
Ready
Workers entering and leaving the site, and how many are inside each shift.
Ready
Farm and dairy workers' attendance from faces at the gate, with hours on site.
Rolling outCamera health, recording, access and accuracy.

Cameras offline, covered, blurred, moved or with night vision failing.
Validating
Recording gaps and storage on each DVR or NVR.
Needs a connection
Each store manager sees only their store; head office sees everything.
Ready
Sampled clips checked by people against the AI's counts, with the error rate per store.
New
ATM cameras covered, sprayed, turned or blacked out.
ValidatingIron VMS shows every camera live, records on your own server and watches each camera for what matters in restaurants and QSR: Footfall and live occupancy; Busy hours and daily trends; Queue length alert; Counter or desk unattended. In all, 44 use cases across 5 packs switch on for restaurants and QSR.
Yes. Iron works with any IP camera or NVR that speaks RTSP or ONVIF. Existing NVRs keep recording while Iron adds live view, search, AI and alerts.
No. Iron runs on a server you own, as a Windows, Linux or macOS service. AI can run on site too; cloud models are optional.
Every alarm becomes an incident with its clip and goes to whoever is on shift on WhatsApp, SMS, email or a webhook, escalating if nobody acknowledges it.
14 of the 44 use cases for restaurants and QSR are proven on real footage and ready now; the rest are validating, rolling out or in pilot, and each card on this page says which.